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161 Commits

Author SHA1 Message Date
firestarsdog bc370e5a19 On device replay 2026-10-14 04:15:44 -04:00
firestar5683 0cc8d91b69 Add vehicle-specific Panda wake settings 2026-10-13 07:08:18 -05:00
firestar5683 2d321aeb6c Preserve stock lateral intent during temporary lag 2026-10-13 04:07:50 -05:00
firestar5683 4dd0036141 Preserve control recovery during temporary lag
Keep existing ordinary controls under the normal soft-disable countdown when current vehicle data and native permissions remain healthy. Preserve original command deadlines and qualify retained steering intent against completed publication provenance.
2026-10-13 03:27:31 -05:00
firestar5683 b2d62aa85a Update Card fixtures and keep startup traffic fresh 2026-10-12 23:41:03 -05:00
firestar5683 6f67fde67c Publish vehicle state before radar processing 2026-10-12 23:12:24 -05:00
firestar5683 8275858f4e Restore ordinary control recovery after source gaps 2026-10-12 22:48:33 -05:00
firestar5683 fefb631774 Preserve lateral intent through temporary lag 2026-10-12 21:39:39 -05:00
Prabhaav Pillai 6c07d1e338 build params 2026-10-12 21:00:45 -04:00
prabhaavp c7b990a330 Merge pull request #216 from dirwin31:Stardust-PR-7
AA Mobile Layout Edit Tweaks
2026-10-12 20:56:21 -04:00
Prabhaav Pillai 3710b49280 blind-spot camera settings and UI feedback in OnroadLayoutPage 2026-10-12 20:54:27 -04:00
dirwin31 f05eb234c2 Duplicated CSS in widget removal dialog styling and Glow Line 2026-10-12 17:37:35 -07:00
firestar5683 2cb6e18f0b Instrument CAN receive scheduling boundaries 2026-10-12 19:17:00 -05:00
dirwin31 ccd85013cd Allow the comma display to sleep while Android Auto stays active
Add the off-by-default TurnOffCommaScreen preference and retain display ownership and wake behavior, with display tests.
2026-10-12 16:46:11 -07:00
dirwin31 33aec5977c Refine Android Auto display controls and blind-spot camera popups
Support blind-spot camera popups through the Android Auto layout, remove the redundant BSM camera toggle, and separate projection settings from comma-screen preferences. Refine pinned editor corners and widget removal dialogs.
2026-10-12 16:46:11 -07:00
dirwin31 aee88a2d40 Make the Galaxy layout editor compact and touch-friendly
Pin the preview and save bar, tighten display rows, and group color controls for phone screens. Stabilize touch selection, resizing, drag autoscroll, and menu dismissal.
2026-10-12 16:46:10 -07:00
firestar5683 834705eae8 Reconcile control inputs before authority decisions 2026-10-12 18:43:25 -05:00
firestar5683 a7e7ba591c Restore inherited Card worker scheduling 2026-10-12 18:33:34 -05:00
Dom fdd8bbfdf1 aol: retain established intent across newly received expired combined proof
Handle a strictly newer same-identity combined proof first consumed after
its output lease expires. Require an established healthy combined Ioniq6
baseline, valid fresh-at-publication source, healthy current native requests
and permission for both axes, and unchanged original retention bounds.

Advance only accepted signature/sequence. Do not renew source/native clocks,
extend output leases, grant expired commands, rearm after genuine disarm,
or automatically restore longitudinal control.

Validation: 940 tests on exact f04b source, 19 additional independent cases,
783 unchanged imported modules plus two intended files, Ruff and ty pass.
A prior run with stale test-fixture provenance is retained and superseded.
Road88 supports the mechanism; its exact consumed proof is unlogged.
This repairs intent retention, not the underlying producer delay.
Update protected inventory receipt.
2026-10-12 15:53:11 -06:00
Dom f04b5d1693 selfdrived: short-circuit redundant final-publication qualification
Evaluate the existing active-axis and source-age predicates before the
pure vehicle qualification predicate. Preserve the same captured clock,
branch body, deadlines, native permission checks and output behavior.

Validation: 39 exact owner-output/clock comparisons, 1728 Capnp cases,
and 851 broad plus 70 rebased functional passes. An unchanged Card-only
host timing test failed in aggregate and passed isolated without importing
SelfdriveD; retain that performance limitation rather than claim all-green.

One qualification call is removed on the healthy fixture path. Host timing
benefit is small/noisy and is not evidence that road stalls are fixed.
Update protected source inventory receipt.
2026-10-12 15:45:34 -06:00
Dom 091f640ac3 card: move conditional settings reads off the control loop
Use the existing settings worker for proactive conditional-mode source
verification. Adopt one immutable snapshot per Card frame, with verified
age strictly below 500 ms. Busy, invalid, or stale snapshots defer
conditional proposals without disengaging ordinary control or AOL.

Preserve fresh per-request SafeMode and gesture mapping checks. Replay
retains its source-clock synchronous owner. Polling phase changes; no
blanket one-second cached permission is added.

Validation: 353 aggregate tests, independent boundary and actual-control
continuity checks, exact source imports and inventory receipt verification.
Measured conditional source reads on main drop from 36 to zero over a
three-second initialized fixture; worker reads increase proactively.
This removes a blocking path, not a demonstrated cure for all road stalls.
2026-10-12 15:38:20 -06:00
Dom 2878c992b2 diagnostics: capture bounded Ioniq control timing and latch-clear evidence
Enable compact Card phase capture for qualified Ioniq6 production runs,
including unlatched ordinary control. Record publication gaps, source and
receive clocks, thread CPU, settings-worker context, and latch-clear reasons.

Add bounded SelfdriveD phase, admission, original-proof and Ratekeeper
snapshots with off-thread reporting and suppression counters. Preserve
control predicates, original deadlines, thresholds and scheduling policy.

Validation: 583 combined tests pass on unchanged rerun; an initial host
wall-time microbenchmark failure and isolated pass are retained. Exact-source
import audits and independent review pass. Host overhead is measured, not
a target-device bound. This adds diagnostics, not a producer-lag fix.

Update protected source inventory receipt.
2026-10-12 14:49:44 -06:00
Dom f169ca0f4c selfdrived: check bounded proof deferral after intent drain
Use the same post-drain clock for source-expiry deferral and intent
admission, avoiding premature state disable when draining crosses the
source freshness cutoff. Preserve the original proof and deadline.

Add cutoff, follow-through, and restrictive-input regression coverage.
Update the protected source inventory receipt.

Validation: 416 focused aggregate tests and 79 independent boundary and
restriction checks; exact source import audits, Ruff, and ty pass.
This addresses a reproduced admission race, not underlying producer lag.
2026-10-12 14:19:45 -06:00
Dom 6c4dde8a07 Restore Ioniq 6 friction threshold and error behavior only
Exclude HYUNDAI_IONIQ_6 from the recent Hyundai CAN-FD highway friction wrapper, restoring original friction threshold/error passthrough in both controller modes. Preserve all steering limits, ramp rates, startup PID settings, scalar calibration, other vehicles, native assets and dropout repairs.

Update regression expectations and add exact Ioniq friction passthrough coverage. Focused suite: 22 passed; 559 repository Python imports match exact parent plus the three intended files. Independent numerical checks: 80,640 comparisons. Protected inventory receipt independently verified. This is the user-requested tuning revert, not a lag fix or on-device qualification.
2026-10-12 12:52:39 -06:00
Dom e3446423d6 Resolve matched availability recovery before failing the pending join
A recovered axis and its healthy event can arrive through separate sockets in either order. After a previously verified availability pause, resolve an exact fresh healthy LAT-only recovery pair before treating the pending first half as unmatched failure.

Require the original pending deadline, exact newer event association, unchanged session/producer/epoch/inventory, fresh source and positive native LAT authority. Preserve failed-state, physical cancellation, restrictive events and native-denial handling. This only clears join bookkeeping; it grants no output and extends no lease.

Add 24 regression cases. Exact parent fails four split-recovery positives while together-delivery and restriction controls pass. Candidate focused suite: 396 passed; independent adversarial review: 58 passed. Import inventory and protected receipt verified. Host qualification is not road verification; separate lag/producer stalls remain unresolved.
2026-10-12 12:42:54 -06:00
Dom fb38c11888 Preserve fresh AOL renewal during an already-held brake
Recognize the existing qualified Ioniq lateral-only held-brake override when checking fresh-source renewal after an old output deadline. Exempt only recurring pedalPressed USER_DISABLE; retain new physical edges, other disable events, source/intent/session validation, native permission checks, and all expired-output enforcement. Do not extend leases or reenable longitudinal control.

Add 28 owner/Controls/Card regression cases and update two old held-brake handoff expectations. Clean serial focused suite: 369 passed; independent adversarial review: 56 passed. Exact parent import inventory and protected receipt verified. Host validation is not device/road qualification; separate lag and producer-stall failures remain under investigation.
2026-10-12 12:29:47 -06:00
Dom b494d5c880 Remove redundant CAN signal-history dictionary lookups
Clear the existing value lists directly rather than repeatedly looking up the address and signal key. Preserve aliases, lazy registration and in-place mutation semantics; decoding, validation and scheduling are unchanged.

51 CAN tests and 56 independent combined tests passed, including 1,000 paired mixed updates. Recorded actual-Card output and parser state match the parent. Repeated host component measurements saved approximately 45 microseconds across the three-parser fixture; no whole-Card or road-stall fix is claimed.

No native artifacts changed.
2026-10-12 12:16:24 -06:00
Dom 3cda7e5ac9 Reconcile fresh queued input after the previous axis packet expires
Do not gate nonblocking carState reconciliation on an old output packet's deadline. Process queued physical samples once before selected-source owners and the state-machine decision; retain the existing total 32-envelope bound, freshness/native/intent checks and no blocking wait beyond the old deadline.

Controlled route52-shaped retained-timeout schedules reproduce stale-selected-carState/fresh-intent rejection on the parent, including ordinary unlatched critical disable. Candidate consumes the fresh pair before deciding. 341 focused tests and 84 independent adversarial cases passed; exact-source import audit, Ruff, type and inventory checks passed.

No lease extension, scheduling rewrite or native artifact change. Separate Card production gaps remain unproven fixed.
2026-10-12 12:06:30 -06:00
firestar5683 8a0249abef Keep native zero-time polling nonblocking 2026-10-12 11:16:48 -06:00
firestar5683 f38c17f4a2 Avoid scheduler waits in nonblocking message reads 2026-10-12 10:57:46 -06:00
Dom 2c1b7d86a0 Match reduced authority test fixture to production carControl subscription
Initialize carControl as subscribed but unseen, then feed the preceding actual Controls packet with its original timestamp and validity. Preserve all expired-source withdrawal and recovery assertions; add unseen-to-received coverage.

Reproduces and resolves three KeyError failures from exact 25252cb CI. 317 owner/runtime/projection tests plus five independent initialization/packet guard cases passed; Ruff and type checks passed. Production and native code unchanged.
2026-10-12 10:29:22 -06:00
Dom 25252cb91e Fix early source-expiry handoff without losing restrictive intent bursts
Check bounded retention after event processing before source-expiry handling mutates authority. Preserve only the original unexpired proof for one normal tick; track all intent drains in the step so a later empty drain cannot conceal an intermediate deny.

Preserve fd14 fresh-owner continuity semantics and reconcile five legacy test expectations. Add early handoff and engagement/deny recovery regressions. 239 distinct focused tests and 277 platform tests passed; Ruff, type checks and exact-source import/inventory audits passed.

No native artifacts or lease extensions. This does not establish a fix for the separate measured Card production stall.
2026-10-12 10:05:15 -06:00
firestar5683 fd14b4b396 Keep fresh authority independent of expired output 2026-10-12 09:46:32 -06:00
Dom 4ef9686a91 Fix premature Ioniq axis withdrawal during fresh-input handoff
Keep an existing unexpired axis proof for one normal iteration when the selected source expires at publication, without renewing the proof or re-running stateful owners. Preserve physical overrides, restrictive intents, original deadlines and alerts; reject stale construction-time publication.

Add 79 owner-chain cases and refresh the protected source inventory. 183 focused tests, lint and type checks pass. Longer Card producer stalls remain outside this fix.
2026-10-12 08:27:40 -06:00
firestar5683 2f16acaf36 Preserve Bolt lateral intent through belt transitions 2026-10-12 06:32:06 -06:00
firestar5683 e55db51af5 Preserve Bolt lateral intent during driver overrides 2026-10-12 02:20:45 -06:00
firestar5683 2381fee499 Refresh Toyota dashboard replay references 2026-10-12 02:19:50 -06:00
firestar5683 8e6745ff00 Repair incoming test fixtures 2026-10-12 02:19:50 -06:00
prabhaavp 5f95832a98 Merge pull request #215 from dirwin31:Stardust-PR-6
Easy Sign In
2026-10-12 02:29:02 -04:00
Prabhaav Pillai 41c6c61755 Refactor Android Auto UI components for improved structure and styling 2026-10-12 02:27:55 -04:00
firestar5683 4ca2636966 Match Toyota dashboard lanes to lateral control 2026-10-11 23:23:00 -06:00
dirwin31 baa8937660 Tint the Android Auto border red for blind spots and amber for blinkers, with its own off-by-default switches. 2026-10-11 22:18:38 -07:00
dirwin31 1c8fc08089 Apply saved Android Auto layouts live using a background file watcher. 2026-10-11 22:18:38 -07:00
dirwin31 32805df912 End navigation automatically after stopping at the destination for 15 seconds. 2026-10-11 22:18:38 -07:00
dirwin31 253338756f Match the Android Auto upload bar to the software update progress bar. 2026-10-11 22:18:38 -07:00
dirwin31 45adc94b9e Let phones pick the downloaded Android Auto package by dropping the file-type filter they can't match. 2026-10-11 22:18:38 -07:00
dirwin31 9f51339aeb Puree 2026-10-11 22:18:38 -07:00
dirwin31 1c2cbc4053 PIVOT: Apk 2026-10-11 22:18:37 -07:00
Danny 001d0fb87b Formatting 2026-10-11 22:18:22 -07:00
Danny 808b527add Improve Android Auto sign-in instructions
Separate the sign-in action, expected loading behavior, and token-copying instructions into readable paragraphs.
2026-10-11 22:18:22 -07:00
Danny 42c8649906 Remember preview visibility preferences
Persist preview visibility separately for comma and Android Auto, hide the stopped timer by default, and format the editor code. Include the matching prebuilt receipt.
2026-10-11 22:18:22 -07:00
Danny 0dcd1cd82d Refine driving screen settings and navigation widgets
Combine the visual settings entry, align Home and Work display modes, and keep Exit to car visible with a minimum opacity of 25%.
2026-10-11 22:18:22 -07:00
Danny d539b8cdc5 Add preview visibility controls and improve confirmation bars
Add preview-only widget eye toggles, unify discard and leave confirmation bars with a purple glow, and add bullets to setup troubleshooting. Include the matching prebuilt receipt.
2026-10-11 22:18:22 -07:00
Danny 6cfbf1deb8 Add stopped timer to Android Auto and layout previews
Render the stopped timer in projected driving views and preview scenes, with layout migration and runtime coverage. Include the matching prebuilt receipt.
2026-10-11 22:18:22 -07:00
Danny fbb21f702a Move Redundant Settings into Theme Manager 2026-10-11 22:18:22 -07:00
Danny 430272c3ee Improve Android Auto setup, device detection, and installation flow
Improve Android Auto mobile setup UI and device detection logic.
Clean up the install page and address the stuck installing flow.
2026-10-11 22:18:22 -07:00
Danny e3ce3aec8f Update Chrome login and remove embedded browser
Combine Chrome Login v1 and Remove Embedded Browser.
2026-10-11 22:18:22 -07:00
Danny b006d1ea1f Add Android Auto bookmarks, appearance controls, and route preferences
Add an opt-in Bookmark widget that dispatches through the native drive-bookmark action. Support independent opacity and background controls for Home, Work, Bookmark, and Exit widgets, and default the map overlay to 50% opacity.

Add saved preferences to avoid tolls, highways, and ferries, recalculating routes when preferences change. Include layout migrations, validation, rendering, transport, and routing tests.
2026-10-11 22:18:21 -07:00
firestarsdog 7f24dc5b2e Add missing GM CarDocs/Fix Picker 2026-10-11 23:52:54 -04:00
firestarsdog 4f7eb9dfdb Add Minimal Volt CarDocs 2026-10-11 23:17:43 -04:00
firestarsdog 4000d23e8f Large UI System Settings Reorg 2026-10-11 22:53:58 -04:00
Dom c43abae38e Fix post-drain clock validation in bounded controls input wait
Validate newly received intent against a post-drain clock while retaining the original absolute wait cap and output lease. Add full-owner regression and restrictive boundary coverage. Refresh the protected source inventory without changing native artifacts.
2026-10-11 20:21:05 -06:00
Dom e8389b0b75 Restore executable mode on selfdrived entry point
Restore the existing 100755 mode lost during the preceding publication.
The selfdrived.py source blob is unchanged.
2026-10-11 16:23:10 -06:00
Dom 13ca03f11f Respect active axes when bounding control input waits
An unchanged pause on an inactive, unrequested axis must not veto the
other axis's existing bounded input wait. Preserve new-pause vetoes,
requested/active-axis pauses, and every existing unpause admission.

The original absolute output deadline and all source/native/fault gates
remain unchanged. Add full-owner tests for LONG-only continuity, late
arrival and processing, missing/invalid input, faults, pause transitions,
and the unresolved source-cutoff-after-final-refresh boundary.

Validated 31 targeted regressions, affected production suites, lint and
independent review. Device-level dropout resolution remains unverified.
2026-10-11 16:19:32 -06:00
Dom 46dd0df949 Reuse exact Ioniq native structural admission per observation
Retain all live freshness, session, permission and original lease checks.
Reuse only successful structural validation for exact payload, timestamp
and complete CP inputs within each owner. Unsupported profiles fall back
to full validation. Add 50 invalidation and fallback regressions.

Validated affected AOL, SelfdriveD and Controls suites, unchanged Card
fixture failures, full lint/type checks and deterministic owner outputs.
Vehicle-level dropout resolution remains unverified.
2026-10-11 15:48:58 -06:00
Dom 805051be92 Reduce redundant Ioniq native admission and inventory work
Dispatch the exact Ioniq 6 fingerprint directly to its existing full qualifier instead of evaluating unrelated Hyundai profile owners first. Revalidate the Ioniq contract on every call; do not cache qualification or live authority.

When transport health obtains current_native itself, avoid immediately repeating the same structural inventory validation on that result. Explicitly supplied native observations still receive the structural check. Preserve all source/session/deadline, latest Panda configuration/health, controlsAllowed and vehicle-health vetoes.

Historical full-module comparisons identified added per-cycle feedback work after df38093f and further expansion in 1279c092. Later changes removed part of that expansion; this patch targets redundant work remaining on the current path. A matched 200-cycle Card fixture drops duplicate inventory validations from 424 to 222 with unchanged native reads and control outputs. No claim that a single introducing commit or all on-road dropouts has been causally resolved.

Validation: 694 affected AOL/Hyundai cases, 43 SelfdriveD and 47 Controls cases passed. Card had 85 passes, six skips and four separately established baseline LKAS fixture failures. Final test-only lint correction passed its 51-case suite; all 11 lint/type checks passed. Independent profile-equivalence and live-fault/deadline review completed. Broader compatibility and hosted CI are separate follow-up gates; no device or road qualification.

Only two Python runtime files and two regression test files change. No diagnostic instrumentation, arming/rearming, alert suppression, deadline changes, native artifacts, models or dependency changes. Build receipt remains unchanged; use the normal update path rather than manual Fast Update.
2026-10-11 15:25:18 -06:00
Dom d2b25f1c39 Reduce idle wheel audits and reconcile late Ioniq inputs
Skip repeated neutral media settings audits only while every gesture tracker is idle. Preserve edge, held-input, epoch, periodic and command-time qualification.

For qualified Ioniq 6 output continuity, reconcile sources arriving during car-event work before selected-source decisions. Retain earlier exact intent restrictions and queued cancellation/fault events, process samples once within the existing bound, and preserve the original absolute output deadline.

Add production-module regression coverage for late arrivals, source restrictions, GM ordering and wheel remaps. No arming/rearming, alert, freshness-threshold, native, model or dependency changes.

Validation: 101 focused cases passed; affected authority, controller, conditional, SelfdriveD/Controls and cross-brand functional checks completed. Baseline fixture/order and timing failures were separately reproduced; full aggregate, interrupted compatibility runs and native-process qualification are not claimed green. No device or road qualification. This is a scoped partial timing repair, not proof that genuine Card producer stalls are eliminated.

Build receipt and native artifacts remain unchanged. Manual Fast Update rejects the stale protected-source receipt; the normal updater path is required.
2026-10-11 13:38:02 -06:00
firestar5683 3ab4674ac1 Fix control input timing and temporary steering recovery 2026-10-11 11:51:01 -06:00
firestar5683 f858e68898 Fix AOL recovery and control input timing 2026-10-11 10:33:18 -06:00
firestar5683 568de54a9f Fix invalid vehicle message batch expectation 2026-10-11 09:31:47 -06:00
firestar5683 6788419227 Avoid rebuilding vehicle flags in the control loop 2026-10-11 09:11:19 -06:00
firestar5683 c0455630b7 Keep communication warnings within their control episode 2026-10-11 09:04:43 -06:00
firestar5683 8afc09d499 Fix control input test substitution 2026-10-11 08:55:47 -06:00
firestar5683 2da663894f Fix control input catch-up and planner scheduling 2026-10-11 08:47:17 -06:00
firestar5683 3ba9503103 Fix Honda AOL engagement and authority loss 2026-10-11 08:20:31 -06:00
firestarsdog 7fc969bf14 Add button pressed state color 2026-10-11 03:52:16 -04:00
firestar5683 74139a60ef Serialize historical wire fixtures once 2026-10-11 01:20:33 -06:00
firestar5683 0830771789 Preserve historical steering learning schema 2026-10-11 01:03:39 -06:00
firestar5683 c204f0b165 Add bounded automatic steering learning 2026-10-11 00:25:52 -06:00
Prabhaav Pillai df91c501fa build 2026-10-11 02:08:22 -04:00
firestarsdog 85341237ae Pagination Edge Gradient Cleanup 2026-10-11 02:00:38 -04:00
Prabhaav Pillai db52c131c2 Software update status handling 2026-10-11 01:51:34 -04:00
Prabhaav Pillai b099ccf37d Add support for OS update requirements and validation in updater 2026-10-11 01:51:34 -04:00
firestar5683 ec0e5fe694 Fix build job arguments 2026-10-10 23:27:00 -06:00
firestar5683 44fba6ef27 Fix AOL transport state 2026-10-10 23:11:56 -06:00
firestar5683 a8f53df7ca Restore control authority timing 2026-10-10 22:41:07 -06:00
firestarsdog 05621af29e Pagination QoL : Allow swipe to start outside panel if ends in panel 2026-10-11 00:28:37 -04:00
Prabhaav Pillai e140dc5078 Fix updater status messages and enhance update process 2026-10-11 00:22:31 -04:00
firestar5683 1a4da8bc44 Refresh Galaxy update status 2026-10-10 22:00:17 -06:00
firestarsdog 3fa8e99c02 Pagination swiping persistence across panel thresholds 2026-10-10 23:44:22 -04:00
firestar5683 48af4915f5 Share radar processing across control cores 2026-10-10 21:35:22 -06:00
firestar5683 48c9652f77 Preserve AOL intent through availability recovery 2026-10-10 21:29:56 -06:00
firestarsdog 4429499362 Move software install button to first page when visible 2026-10-10 23:10:38 -04:00
firestar5683 28d04bffb8 Preserve validated transport pauses 2026-10-10 20:57:00 -06:00
firestar5683 c058bb8bc2 Restore shared control availability 2026-10-10 20:23:43 -06:00
firestar5683 5d7c249c68 Initialize AOL test callers 2026-10-10 19:01:58 -06:00
firestar5683 cb0ade2c1a Preserve pending AOL intent 2026-10-10 18:36:56 -06:00
firestar5683 ff766ad175 Ioniq authority timing 2026-10-10 17:46:09 -06:00
firestar5683 89f4cbd1be Fresh Ioniq control state 2026-10-10 17:27:51 -06:00
firestar5683 2ac07aef16 Build runtime 2026-10-10 16:54:45 -06:00
firestar5683 086e7451af AOL communication recovery 2026-10-10 16:49:56 -06:00
firestarsdog 0669069d8d Fix C3 Panda detection by skipping unused SPI 2026-10-10 17:41:53 -04:00
firestar5683 0c1b0070f5 Build 2026-10-10 13:47:13 -06:00
firestar5683 1e988f0bdc Ford serialization fixture 2026-10-10 13:45:02 -06:00
firestar5683 4efa732259 AOL transport validation 2026-10-10 13:45:02 -06:00
firestar5683 adf0b7158b Ford control publication checks 2026-10-10 12:30:04 -06:00
firestar5683 6dd504cb51 GM test callback binding 2026-10-10 12:14:18 -06:00
firestar5683 e8aeccb03a Vehicle interface fixtures 2026-10-10 12:00:50 -06:00
firestar5683 d6b2cfe067 Ford curvature admission 2026-10-10 12:00:50 -06:00
firestar5683 4284d7e4b3 EV6 replay initial state 2026-10-10 11:55:11 -06:00
firestar5683 ae8d0f0eb7 Hyundai two-Panda startup ignition 2026-10-10 11:53:49 -06:00
firestar5683 fe9a037417 GM control publication checks 2026-10-10 11:53:45 -06:00
firestar5683 1448c89e8f Ford safety validation 2026-10-10 11:53:42 -06:00
firestar5683 fff1f5baa7 Build 2026-10-10 10:25:17 -06:00
firestar5683 75b947322f Ford longitudinal admission 2026-10-10 09:32:27 -06:00
firestar5683 1279c092b1 Ford angle steering and Panda routing 2026-10-10 07:10:07 -06:00
firestar5683 71b02a7975 Font atlas validation 2026-10-10 01:05:46 -06:00
firestar5683 a2d019c12d Build 2026-10-10 00:58:33 -06:00
firestar5683 28ed48e35e Car loop scheduling 2026-10-10 00:55:57 -06:00
firestar5683 8a0cea2bbf GM control profiles 2026-10-10 00:46:10 -06:00
firestarsdog cc6a9330d4 Speed limit indicator 2026-10-10 00:36:39 -06:00
firestar5683 eb19d343a6 CI validation fixes 2026-10-10 00:36:38 -06:00
prabhaavp 1ad418ca35 Merge pull request #211 from dirwin31:Stardust-PR-5
Improve Android Auto rendering, Galaxy hotspot access, and Allow soft Exit
2026-10-10 01:39:15 -04:00
Prabhaav Pillai 678a90f070 Unused Uniden protocol package and its tests; no runtime code referenced it.
Unused font arguments and preview state.
A headless cache flag that nothing enabled.
2026-10-10 01:37:47 -04:00
Prabhaav Pillai 8df85fa083 Updated Android Auto page to clarify Wi-Fi usage and connection requirements.
Renamed button text in app.js for better user understanding.
Enhanced Galaxy page layout and messaging for remote access and installation instructions.
Improved hotspot settings interface with clearer instructions and error handling.
Streamlined local access messaging for better user guidance.
Adjusted navigation status handling to reflect accurate network states.
Updated tests to align with changes in network status reporting and command execution.
Refined system snapshot collection to ensure proper output handling and error reporting.
2026-10-10 01:29:42 -04:00
firestar5683 683b4e51a7 Build 2026-10-09 22:45:10 -06:00
firestar5683 29a4fe5d30 Adjacent lane width parity 2026-10-09 22:45:00 -06:00
firestar5683 9ee201ea28 Build 2026-10-09 22:20:44 -06:00
firestar5683 b7435a43bc AOL clock recovery 2026-10-09 22:20:28 -06:00
firestar5683 cc181947b6 Build 2026-10-09 19:48:02 -05:00
firestar5683 8984fb8d26 Publication test fixtures 2026-10-09 19:47:47 -05:00
firestar5683 1fd07f1cd5 Intent projection recovery 2026-10-09 19:47:38 -05:00
firestar5683 34625050a9 Forced offroad display timeout 2026-10-09 18:49:02 -05:00
firestar5683 7267af7411 Build 2026-10-09 18:35:38 -05:00
firestar5683 df38093ff1 AOL transport recovery 2026-10-09 18:34:26 -05:00
firestar5683 5c337e297a Build 2026-10-09 16:41:24 -05:00
firestar5683 c0c1c0353d GM lateral recovery 2026-10-09 16:41:11 -05:00
firestar5683 ac1968a384 Build 2026-10-09 16:13:24 -05:00
firestar5683 89aa8a294e Volt steering recovery 2026-10-09 16:11:28 -05:00
firestar5683 26a3ec8fcd Build 2026-10-09 14:35:01 -05:00
firestar5683 969ce02810 AOL message pairing 2026-10-09 14:34:54 -05:00
dirwin31 71f121a68b Smaller, no arrow 2026-10-09 12:14:39 -07:00
dirwin31 0c1b81741c Improve Android Auto, Galaxy connectivity, and navigation 2026-10-09 12:02:26 -07:00
firestar5683 9ff53d39c2 Build 2026-10-09 12:43:43 -05:00
firestar5683 65a5b48c30 CEM green release 2026-10-09 12:42:52 -05:00
firestar5683 0e76d0c6f6 Build 2026-10-09 12:35:58 -05:00
firestar5683 2764593fff Replay schema contract 2026-10-09 12:35:58 -05:00
firestar5683 3fc56ef7e4 Replay speed limit display 2026-10-09 12:35:57 -05:00
firestar5683 6dbfce2fc5 Build 2026-10-09 12:19:56 -05:00
firestar5683 0e30087e9a Volt steering authority 2026-10-09 12:13:42 -05:00
firestar5683 41bc6d6704 CAN FD replay reference 2026-10-09 12:13:42 -05:00
firestar5683 6086120108 Vehicle caller checks 2026-10-09 12:13:42 -05:00
firestarsdog 77b44257a0 Old Route -> New Replay shim
added retirement instructions
2026-10-09 12:58:07 -04:00
firestar5683 139a5302e9 I6 Domi Trial 2026-10-09 11:21:56 -05:00
firestarsdog 6ddeb91d16 Large UI Flicker Pass 2 2026-10-09 11:54:06 -04:00
firestar5683 931620ff00 I6 Domi Trial 2026-10-09 10:30:13 -05:00
firestarsdog b41f3df1fb Large UI Replay Flicker Be Gone 2026-10-09 11:19:26 -04:00
firestar5683 9d46558823 Build 2026-10-09 09:08:49 -05:00
firestar5683 5be29a9ad0 CAN FD steering 2026-10-09 09:05:37 -05:00
firestar5683 fc3290c1f1 Build 2026-10-09 08:42:06 -05:00
firestar5683 45de4e2929 Lateral authority 2026-10-09 08:36:42 -05:00
671 changed files with 60193 additions and 5595 deletions
+3
View File
@@ -43,6 +43,7 @@ bin/
*.os
*.os-*
*.so
!openpilot/tools/replay/libmedia_mux.so
*.a
st[0-9A-Za-z][0-9A-Za-z][0-9A-Za-z][0-9A-Za-z][0-9A-Za-z][0-9A-Za-z]
*.unchunked
@@ -135,3 +136,5 @@ openpilot/selfdrive/modeld/models/*.unchunked
# Jetlink editable-install metadata.
/jetlink_repo/jetlink.egg-info/
# Local Google Play resolver build output (source and lockfile are versioned).
+16
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@@ -0,0 +1,16 @@
## Design Context
### Users
StarPilot owners reviewing recorded drives through Galaxy on phones, over local access or a tunnel.
### Brand Personality
Clear, dependable, intuitive. Playback should inspire confidence through predictable behavior and accurate feedback.
### Aesthetic Direction
Keep Galaxy's existing interface. This review targets playback compatibility and useful loading and error states, with production quality as the bar.
### Design Principles
- Make playback work across supported phones and desktop browsers.
- Prefer the smallest complete fix and reuse the existing efficient media pipeline.
- Explain failures accurately and give users an actionable recovery path.
- Keep controls responsive and avoid unnecessary device work.
+4
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@@ -17,3 +17,7 @@ The Ford lateral strategies, extended CAN constructors, camera-radar filtering a
Relevant lineage includes the controller and integration work in [`db2bdff05`](https://github.com/BluePilotDev/bluepilot/commit/db2bdff05df103d71df62f45c2a3cb5211aba6e6) and [`d0aac605f`](https://github.com/BluePilotDev/bluepilot/commit/d0aac605f99d37e9da205e419f7989c1e9eaa386), extended CAN and safety work in [`8f8d6d15f`](https://github.com/BluePilotDev/bluepilot/commit/8f8d6d15f0a590f42b78de964ffb0d0af7f5d63d), and manual-turn detection in [`97867c1eb`](https://github.com/BluePilotDev/bluepilot/commit/97867c1eb57b7472f6fc3de62f0fef576e5a5497).
The vehicle strategy and CAN/native owners preserve that attribution while adapting to the current controller interfaces and shared safety limits. Upstream contributors do not maintain or endorse this adaptation. Applicable notices are retained in [THIRD_PARTY_NOTICES.md](THIRD_PARTY_NOTICES.md).
## Optional Ford angle controller
The vendored `opendbc_repo/opendbc/bluepilot_lateral` angle core, codecs and Ford-only safety hooks are adapted directly from [BluePilot bp-7.0 e1d051d7ba270261b4455068bd68f1a58db15a4a](https://github.com/BluePilotDev/bluepilot/commit/e1d051d7ba270261b4455068bd68f1a58db15a4a), principally by Alan Polk, with John Christman, Jacob Neulight, Nathan Ingraham, Praeuner and other BluePilot, sunnypilot and comma contributors. Exact source paths and intentionally stricter safety checks are recorded in that folder. Both upstream `LICENSE` and `LICENSE.md` notices are retained. Its layout follows Alan Polk's September 2026 library proposal; this is a StarPilot adapter, not a published BluePilot library release.
+4 -1
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@@ -330,10 +330,13 @@ SConscript([
'openpilot/selfdrive/ui/SConscript',
])
# Replay is also the isolated on-device viewer engine.
if GetOption('extras') or arch == "comma_arm64":
SConscript(['openpilot/tools/replay/SConscript'])
# Build desktop-only tools
if GetOption('extras') and arch != "comma_arm64":
SConscript([
'openpilot/tools/replay/SConscript',
'openpilot/tools/cabana/SConscript',
'openpilot/tools/jotpluggler/SConscript',
])
+10
View File
@@ -74,3 +74,13 @@ the exclusion of the other.
## BluePilot Ford support
The Ford lateral strategies, CAN constructors, camera-radar filtering and native checks include work adapted from BluePilot's `bp-7.0` source, through StarPilot `2efe6017bfe14cee4807833e05f9a7f6ba255cdb`. See [CREDITS.md](CREDITS.md#ford-support-adapted-from-bluepilot) for contributors and source revisions. The upstream extension-file and `LICENSE.md` notices reproduced above also apply to the Ford extension sources; they are retained without resolving the difference between their published license descriptions.
## Optional BluePilot angle library adapter
The angle-only adapter in `opendbc_repo/opendbc/bluepilot_lateral` is sourced directly from BluePilot bp-7.0 commit e1d051d7ba270261b4455068bd68f1a58db15a4a. The complete upstream MIT notice is retained in that folder's `LICENSE`, and the simultaneously published Custom MIT notice is retained verbatim in `LICENSE.md`. The applicable SUNNYPILOT acknowledgments reproduced above are also retained in its `CREDITS.md`. This preserves the published terms without resolving their scope or representing the adapted extension as unambiguously plain MIT.
The optional, default-disabled angle lane-centering trim additionally derives from
BluePilot bp-dev e22afa6be9b881fa784c92ebb316db47728a3d81. Its exact source and
contributors are recorded in the library CREDITS.md; the same root/opendbc MIT
and Custom MIT notices coexist unchanged at that revision. This adds attribution,
not a license-scope decision or permission grant.
+25 -3
View File
@@ -44,7 +44,6 @@ for arg in "$@"; do
esac
done
original_args=("$@")
build_helper="${ROOT_DIR}/scripts/laptop_device_build.sh"
if [[ -f /AGNOS && "$(uname -s)" == Linux && "$(uname -m)" == aarch64 ]]; then
build_helper="${ROOT_DIR}/scripts/native_device_build.sh"
@@ -62,6 +61,8 @@ if [[ $# -gt 0 ]]; then
fi
shortcut_targets=()
passthrough_args=()
default_args=()
jobs_arg=""
shortcut_includes_panda=0
panda_generated_files=(panda/board/obj/gitversion.h panda/board/obj/version)
@@ -78,11 +79,26 @@ while [[ $# -gt 0 ]]; do
shortcut_targets+=(openpilot/cereal/libcereal.a openpilot/cereal/libsocketmaster.a
openpilot/cereal/messaging/bridge openpilot/cereal/services.h)
;;
-j|--jobs)
passthrough_args+=("$1")
default_args+=("$1")
if [[ $# -gt 1 ]]; then
passthrough_args+=("$2")
default_args+=("$2")
shift
fi
;;
*)
if [[ "$1" =~ ^[0-9]+$ ]]; then
if [[ "$1" =~ ^0+$ ]]; then
echo "ERROR: jobs must be positive" >&2
exit 2
fi
jobs_arg="$1"
passthrough_args+=("-j$1")
else
passthrough_args+=("$1")
default_args+=("$1")
fi
;;
esac
@@ -128,7 +144,13 @@ fi
python3 "${ROOT_DIR}/tools/release/stage_mapd_provider.py" --source "${ROOT_DIR}" --require-tracked
if [[ "${#original_args[@]}" -gt 0 ]]; then
exec "${build_helper}" build "${original_args[@]}"
if [[ -n "${jobs_arg}" ]]; then
if [[ ${default_args[0]+present} ]]; then
exec "${build_helper}" build "${jobs_arg}" "${default_args[@]}"
fi
exec "${build_helper}" build "${jobs_arg}"
fi
if [[ ${default_args[0]+present} ]]; then
exec "${build_helper}" build "${default_args[@]}"
fi
exec "${build_helper}" build
Binary file not shown.
+104 -6
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@@ -7,6 +7,7 @@ from libcpp.vector cimport vector
from libcpp cimport bool
from libc cimport errno
from libc.string cimport strerror
from libc.stdint cimport uint64_t
from cython.operator import dereference
@@ -18,6 +19,19 @@ from .ipc cimport Message as cppMessage
from .ipc cimport Event as cppEvent, SocketEventHandle as cppSocketEventHandle
cdef extern from *:
"""
#include <stdint.h>
#include <time.h>
static inline uint64_t msgq_receive_clock_ns() noexcept {
struct timespec ts{};
if (clock_gettime(CLOCK_MONOTONIC, &ts) != 0) return 0;
return uint64_t(ts.tv_sec) * 1000000000ULL + uint64_t(ts.tv_nsec);
}
"""
uint64_t msgq_receive_clock_ns() noexcept nogil
class IpcError(Exception):
def __init__(self, endpoint=None):
suffix = f"with {endpoint.decode('utf-8')}" if endpoint else ""
@@ -161,6 +175,14 @@ cdef class Poller:
cdef class SubSocket:
cdef cppSubSocket * socket
cdef bool is_owner
cdef bool receive_timing_enabled
cdef uint64_t rt_calls[2]
cdef uint64_t rt_messages
cdef uint64_t rt_nulls
cdef uint64_t rt_invalid
cdef uint64_t rt_totals[7]
cdef uint64_t rt_slowest[2][8]
cdef uint64_t rt_max[2]
def __cinit__(self):
with nogil:
@@ -198,20 +220,96 @@ cdef class SubSocket:
with nogil:
self.socket.setTimeout(timeout)
cdef void _reset_receive_timing(self):
cdef int i, j
self.rt_messages = self.rt_nulls = self.rt_invalid = 0
for i in range(7):
self.rt_totals[i] = 0
for i in range(2):
self.rt_calls[i] = self.rt_max[i] = 0
for j in range(8):
self.rt_slowest[i][j] = 0
def set_receive_timing(self, bool enabled):
self.receive_timing_enabled = enabled
self._reset_receive_timing()
def take_receive_timing(self):
cdef int i, j
report = {
'schema_version': 1, 'clock': 'MONOTONIC',
'enabled': self.receive_timing_enabled,
'blocking_calls': self.rt_calls[0], 'nonblocking_calls': self.rt_calls[1],
'messages': self.rt_messages, 'nulls': self.rt_nulls,
'invalid_clock_samples': self.rt_invalid,
'totals_ns': dict(zip(('release', 'native', 'reacquire', 'copy', 'delete_release', 'delete_native', 'delete_reacquire'),
[self.rt_totals[i] for i in range(7)])),
'boundary_names': ('before_release', 'native_entry', 'native_return', 'after_reacquire',
'before_delete_release', 'delete_entry', 'delete_return', 'after_delete_reacquire'),
'slowest_blocking_ns': tuple(self.rt_slowest[0][j] for j in range(8)),
'slowest_nonblocking_ns': tuple(self.rt_slowest[1][j] for j in range(8)),
}
self._reset_receive_timing()
return report
def receive(self, bool non_blocking=False):
cdef cppMessage *msg
with nogil:
msg = self.socket.receive(non_blocking)
cdef uint64_t points[8]
cdef uint64_t elapsed
cdef int i, kind = 1 if non_blocking else 0
cdef bool valid = True
cdef bool has_message
# Disabled path retains the existing native call/copy/delete order.
if not self.receive_timing_enabled:
with nogil:
msg = self.socket.receive(non_blocking)
if msg == NULL:
return None
else:
sz = msg.getSize()
m = msg.getData()[:sz]
with nogil:
del msg
return m
if msg == NULL:
return None
points[0] = msgq_receive_clock_ns()
with nogil:
points[1] = msgq_receive_clock_ns()
msg = self.socket.receive(non_blocking)
points[2] = msgq_receive_clock_ns()
points[3] = msgq_receive_clock_ns()
has_message = msg != NULL
if not has_message:
self.rt_nulls += 1
for i in range(4, 8):
points[i] = 0
else:
self.rt_messages += 1
sz = msg.getSize()
m = msg.getData()[:sz]
points[4] = msgq_receive_clock_ns()
with nogil:
points[5] = msgq_receive_clock_ns()
del msg
return m
points[6] = msgq_receive_clock_ns()
points[7] = msgq_receive_clock_ns()
self.rt_calls[kind] += 1
for i in range(8 if has_message else 4):
if points[i] == 0 or (i > 0 and points[i] < points[i-1]):
valid = False
if not valid:
self.rt_invalid += 1
else:
for i in range(7 if has_message else 3):
self.rt_totals[i] += points[i+1] - points[i]
elapsed = points[7 if has_message else 3] - points[0]
if elapsed > self.rt_max[kind]:
self.rt_max[kind] = elapsed
for i in range(8):
self.rt_slowest[kind][i] = points[i]
if not has_message:
return None
return m
cdef class PubSocket:
Binary file not shown.
+2
View File
@@ -443,6 +443,8 @@ int msgq_poll(msgq_pollitem_t * items, size_t nitems, int timeout){
if (items[i].revents) num++;
}
if (timeout == 0) return num;
int ms = (timeout == -1) ? 100 : timeout;
#ifdef __APPLE__
+85
View File
@@ -1,4 +1,6 @@
#include <array>
#include <chrono>
#include <thread>
#include <unistd.h>
#include "msgq/test_runner.h"
#include "msgq/msgq.h"
@@ -20,6 +22,89 @@ TEST_CASE("ALIGN")
REQUIRE(ALIGN(99999) == 100000);
}
TEST_CASE("msgq_poll nonblocking readiness")
{
cleanup_test_queue();
msgq_queue_t writer, first, second;
msgq_new_queue(&writer, "test_queue", 1024);
msgq_init_publisher(&writer);
msgq_new_queue(&first, "test_queue", 1024);
msgq_init_subscriber(&first);
msgq_new_queue(&second, "test_queue", 1024);
msgq_init_subscriber(&second);
msgq_pollitem_t items[] = {{&first, 1}, {&second, 1}};
REQUIRE(msgq_poll(nullptr, 0, 0) == 0);
REQUIRE(msgq_poll(items, 2, 0) == 0);
REQUIRE(items[0].revents == 0);
REQUIRE(items[1].revents == 0);
char data[] = "poll payload";
msgq_msg_t outgoing, incoming;
msgq_msg_init_data(&outgoing, data, sizeof(data));
REQUIRE(msgq_msg_send(&outgoing, &writer) == sizeof(data));
REQUIRE(msgq_poll(items, 2, 0) == 2);
REQUIRE(items[0].revents == 1);
REQUIRE(items[1].revents == 1);
REQUIRE(msgq_msg_recv(&incoming, &first) == sizeof(data));
REQUIRE(memcmp(incoming.data, data, sizeof(data)) == 0);
msgq_msg_close(&incoming);
REQUIRE(msgq_poll(items, 2, 0) == 1);
REQUIRE(items[0].revents == 0);
REQUIRE(items[1].revents == 1);
REQUIRE(msgq_msg_recv(&incoming, &second) == sizeof(data));
REQUIRE(memcmp(incoming.data, data, sizeof(data)) == 0);
msgq_msg_close(&incoming);
REQUIRE(msgq_poll(items, 2, 0) == 0);
REQUIRE(items[0].revents == 0);
REQUIRE(items[1].revents == 0);
msgq_msg_close(&outgoing);
msgq_close_queue(&second);
msgq_close_queue(&first);
msgq_close_queue(&writer);
cleanup_test_queue();
}
TEST_CASE("msgq_poll waiting modes")
{
for (int timeout : {1000, -1}) {
cleanup_test_queue();
msgq_queue_t writer, reader;
msgq_new_queue(&writer, "test_queue", 1024);
msgq_init_publisher(&writer);
msgq_new_queue(&reader, "test_queue", 1024);
msgq_init_subscriber(&reader);
msgq_pollitem_t item{&reader, 1};
auto start = std::chrono::steady_clock::now();
REQUIRE(msgq_poll(&item, 1, 2) == 0);
REQUIRE(item.revents == 0);
REQUIRE(std::chrono::steady_clock::now() - start >= std::chrono::milliseconds(2));
msgq_msg_t outgoing;
msgq_msg_init_size(&outgoing, 1);
outgoing.data[0] = 'p';
std::thread sender([&]() {
std::this_thread::sleep_for(std::chrono::milliseconds(2));
msgq_msg_send(&outgoing, &writer);
});
int received = msgq_poll(&item, 1, timeout);
sender.join();
REQUIRE(received == 1);
REQUIRE(item.revents == 1);
msgq_msg_t incoming;
REQUIRE(msgq_msg_recv(&incoming, &reader) == 1);
REQUIRE(incoming.data[0] == 'p');
msgq_msg_close(&incoming);
msgq_msg_close(&outgoing);
msgq_close_queue(&reader);
msgq_close_queue(&writer);
cleanup_test_queue();
}
}
TEST_CASE("msgq_msg_init_size")
{
const size_t msg_size = 30;
@@ -0,0 +1,79 @@
import uuid
import msgq
import pytest
def sockets(*, timeout=5, conflate=False):
endpoint = "receive_timing_" + uuid.uuid4().hex
pub = msgq.pub_sock(endpoint)
sub = msgq.sub_sock(endpoint, timeout=timeout, conflate=conflate)
return pub, sub
def check(report):
assert report["schema_version"] == 1 and report["clock"] == "MONOTONIC"
assert report["blocking_calls"] + report["nonblocking_calls"] == report["messages"] + report["nulls"]
assert report["invalid_clock_samples"] == 0
assert all(v >= 0 for v in report["totals_ns"].values())
for key in ["slowest_blocking_ns", "slowest_nonblocking_ns"]:
points = report[key]
assert len(points) == 8
nonzero = [p for p in points if p]
assert nonzero == sorted(nonzero)
def test_disabled_then_enabled_data_and_reset():
pub, sub = sockets()
pub.send(b"old")
assert sub.receive() == b"old"
report = sub.take_receive_timing()
assert not report["enabled"] and report["messages"] == 0
sub.set_receive_timing(True)
pub.send(b"new")
assert sub.receive() == b"new"
report = sub.take_receive_timing()
check(report)
assert report["enabled"] and report["blocking_calls"] == 1 and report["messages"] == 1
assert report["slowest_blocking_ns"][4] > 0
empty = sub.take_receive_timing()
check(empty)
assert empty["messages"] == 0 and empty["slowest_blocking_ns"] == (0,) * 8
assert report["messages"] == 1 # detached after reset
sub.set_receive_timing(False)
pub.send(b"off")
assert sub.receive() == b"off"
assert sub.take_receive_timing()["messages"] == 0
@pytest.mark.parametrize("timeout", [0, 5])
def test_empty_timeout_and_nonblocking(timeout):
pub, sub = sockets(timeout=timeout)
sub.set_receive_timing(True)
assert sub.receive() is None
assert sub.receive(non_blocking=True) is None
report = sub.take_receive_timing()
check(report)
assert report["blocking_calls"] == report["nonblocking_calls"] == 1
assert report["nulls"] == 2 and report["messages"] == 0
assert report["slowest_blocking_ns"][4:] == (0,) * 4
assert report["slowest_nonblocking_ns"][4:] == (0,) * 4
assert report["totals_ns"]["copy"] == report["totals_ns"]["delete_native"] == 0
@pytest.mark.parametrize("conflate", [False, True])
def test_burst_no_diagnostic_cap_or_drop(conflate):
pub, sub = sockets(conflate=conflate)
sub.set_receive_timing(True)
expected = [str(i).encode() for i in range(80)]
for message in expected:
pub.send(message)
actual = msgq.drain_sock_raw(sub, wait_for_one=True)
assert actual == ([expected[-1]] if conflate else expected)
report = sub.take_receive_timing()
check(report)
assert report["messages"] == len(actual)
assert report["blocking_calls"] == 1
assert report["nonblocking_calls"] == len(actual) # includes terminal null
assert report["nulls"] == 1
assert report["slowest_nonblocking_ns"][0] > 0
assert len(report["slowest_nonblocking_ns"]) == 8
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+44 -2
View File
@@ -1,6 +1,6 @@
<!--- AUTOGENERATED FROM selfdrive/car/CARS_template.md, DO NOT EDIT. --->
# Support Information for 406 Known Cars
# Support Information for 448 Known Cars
|Make|Model|Package|Support Level|
|---|---|---|:---:|
@@ -34,12 +34,50 @@
|Audi|Q5 2017-24|All|[Not compatible](#flexray)|
|Audi|RS3 2018|Adaptive Cruise Control (ACC) & Lane Assist|[Upstream](#upstream)|
|Audi|S3 2015-17|Adaptive Cruise Control (ACC) & Lane Assist|[Upstream](#upstream)|
|Buick|Baby Enclave (SDGM Harness) 2020-23|Driver Assist Package|[Community](#community)|
|Buick|LaCrosse (ASCM Harness) 2017-19|Adaptive Cruise Control (ACC)|[Community](#community)|
|Buick|LaCrosse (OBD-II Harness) 2017-19|Driver Confidence Package 2|[Community](#community)|
|Buick|LaCrosse US (ASCM Harness) 2019|Adaptive Cruise Control (ACC)|[Community](#community)|
|Buick|Regal Essence (OBD-II Harness) 2018|Adaptive Cruise Control (ACC)|[Community](#community)|
|BYD|Atto 3 2022-25|All|[Dashcam mode](#dashcam)|
|Cadillac|ATS Premium Performance (OBD-II Harness) 2018|Adaptive Cruise Control (ACC)|[Community](#community)|
|Cadillac|CT6 (CC)|Cruise control; configuration-specific installation|[Community](#community)|
|Cadillac|Escalade (ASCM Harness) 2018|Adaptive Cruise Control (ACC)|[Community](#community)|
|Cadillac|Escalade (OBD-II Harness) 2017|Driver Assist Package|[Community](#community)|
|Cadillac|Escalade ESV (OBD-II Harness) 2016|Adaptive Cruise Control (ACC) & LKAS|[Community](#community)|
|Cadillac|Escalade ESV (OBD-II Harness) 2019|Adaptive Cruise Control (ACC) & LKAS|[Community](#community)|
|Cadillac|Escalade ESV Platinum (ASCM Harness) 2019|Adaptive Cruise Control (ACC)|[Community](#community)|
|Cadillac|XT4 (CC)|Cruise control; configuration-specific installation|[Community](#community)|
|Cadillac|XT4 (SDGM Harness) 2023|Driver Assist Package|[Community](#community)|
|Cadillac|XT5 (CC)|Cruise control; configuration-specific installation|[Community](#community)|
|Cadillac|XT5 (SDGM Harness) 2022|Driver Assist Package|[Community](#community)|
|Cadillac|XT6 (SDGM Harness) 2020|Driver Assist Package|[Community](#community)|
|Chevrolet|Blazer (SDGM Harness) 2019-25|Driver Assist Package|[Community](#community)|
|Chevrolet|Bolt (Camera Harness) 2022-23|ACC; recognized camera layout required|[Community](#community)|
|Chevrolet|Bolt EUV 2022-23|Premier or Premier Redline Trim, without Super Cruise Package|[Upstream](#upstream)|
|Chevrolet|Bolt EV 2022-23|2LT Trim with Adaptive Cruise Control Package|[Upstream](#upstream)|
|Chevrolet|Equinox 2019-22|Adaptive Cruise Control (ACC)|[Upstream](#upstream)|
|Chevrolet|Equinox (CC)|Cruise control; configuration-specific installation|[Community](#community)|
|Chevrolet|Malibu (ASCM Harness) 2017-19|Adaptive Cruise Control (ACC)|[Community](#community)|
|Chevrolet|Malibu (CC)|Cruise control; configuration-specific installation|[Community](#community)|
|Chevrolet|Malibu (SDGM Harness) 2019|SDGM Harness|[Community](#community)|
|Chevrolet|Malibu Hybrid (CC)|Cruise control; configuration-specific installation|[Community](#community)|
|Chevrolet|Malibu Premier (OBD-II Harness) 2017|Adaptive Cruise Control (ACC)|[Community](#community)|
|Chevrolet|Silverado 1500 2020-21|Safety Package II|[Upstream](#upstream)|
|Chevrolet|Silverado (CC)|Cruise control; configuration-specific installation|[Community](#community)|
|Chevrolet|Suburban (Camera Harness)|Manual camera configuration; recognized CAN layout required|[Community](#community)|
|Chevrolet|Suburban (CC)|Cruise control; configuration-specific installation|[Community](#community)|
|Chevrolet|Suburban (OBD-II Harness)|Configuration-specific install; observed CAN sources required|[Community](#community)|
|Chevrolet|Suburban Premier (ASCM Harness) 2016-20|Adaptive Cruise Control (ACC)|[Community](#community)|
|Chevrolet|Trailblazer 2021-22|Adaptive Cruise Control (ACC)|[Upstream](#upstream)|
|Chevrolet|Trailblazer (CC)|Cruise control; configuration-specific installation|[Community](#community)|
|Chevrolet|Traverse (SDGM Harness) 2022-23|RS, Premier, or High Country Trim|[Community](#community)|
|Chevrolet|Trax (Camera Harness)|Manual camera configuration; recognized CAN layout required|[Community](#community)|
|Chevrolet|Volt (ASCM Harness) 2017-18|Adaptive Cruise Control (ACC); custom ASCM harness install|[Community](#community)|
|Chevrolet|Volt (Camera Harness)|Manual configuration; recognized camera layout required|[Community](#community)|
|Chevrolet|Volt (CC)|Manual development configuration; installation must be verified|[Community](#community)|
|Chevrolet|Volt (OBD-II Harness) 2017-18|Adaptive Cruise Control (ACC)|[Community](#community)|
|Chevrolet|Volt (SDGM Harness) 2019|Adaptive Cruise Control (ACC) & LKAS|[Community](#community)|
|Chrysler|Pacifica 2017-18|Adaptive Cruise Control (ACC)|[Upstream](#upstream)|
|Chrysler|Pacifica 2019-20|Adaptive Cruise Control (ACC)|[Upstream](#upstream)|
|Chrysler|Pacifica 2021-23|All|[Upstream](#upstream)|
@@ -88,8 +126,12 @@
|Genesis|GV70 Electrified (Australia Only) 2022|All|[Upstream](#upstream)|
|Genesis|GV70 Electrified (with HDA II) 2023-24|Highway Driving Assist II|[Upstream](#upstream)|
|Genesis|GV80 2023|All|[Upstream](#upstream)|
|GMC|Acadia (ASCM Harness) 2018|Adaptive Cruise Control (ACC)|[Community](#community)|
|GMC|Acadia (OBD-II Harness) 2018|Adaptive Cruise Control (ACC)|[Community](#community)|
|GMC|Sierra 1500 2020-21|Driver Alert Package II|[Upstream](#upstream)|
|GMC|Yukon 2019-20|Adaptive Cruise Control (ACC) & LKAS|[Dashcam mode](#dashcam)|
|GMC|Yukon (CC)|Cruise control; configuration-specific installation|[Community](#community)|
|Holden|Astra (OBD-II Harness) 2017|Adaptive Cruise Control (ACC)|[Community](#community)|
|Honda|Accord 2016-17|Honda Sensing|[Community](#community)|
|Honda|Accord 2018-22|All|[Upstream](#upstream)|
|Honda|Accord 2023-25|All|[Upstream](#upstream)|
@@ -473,4 +515,4 @@ Toyota, and the GM Global B platform.
All the cars that openpilot supports use a [CAN bus](https://en.wikipedia.org/wiki/CAN_bus) for communication between all the car's computers, however a
CAN bus isn't the only way that the computers in your car can communicate. Most, if not all, vehicles from the following
manufacturers use [FlexRay](https://en.wikipedia.org/wiki/FlexRay) instead of a CAN bus: **BMW, Mercedes, Audi, Land Rover, and some Volvo**. These cars
may one day be supported, but we have no immediate plans to support FlexRay.
may one day be supported, but we have no immediate plans to support FlexRay.
@@ -0,0 +1,35 @@
# BluePilot angle source
Adapted from BluePilotDev/bluepilot bp-7.0 at
[e1d051d7ba270261b4455068bd68f1a58db15a4a](https://github.com/BluePilotDev/bluepilot/commit/e1d051d7ba270261b4455068bd68f1a58db15a4a),
principally Alan Polk, with John Christman, Jacob Neulight, Nathan Ingraham,
Praeuner, tonesto7, Haibin Wen and other BluePilot, sunnypilot and comma contributors.
Source paths: opendbc/sunnypilot/car/ford/lateral_angle_ext.py,
fordcan_ext.py, human_turn.py and opendbc/safety/modes/ford.h.
The simultaneous upstream LICENSE and LICENSE.md notices are retained.
This software is licensed under a custom license requiring permission for use.
This project uses software from Haibin Wen and SUNNYPILOT LLC and is licensed under a custom license requiring permission for use.
This is a StarPilot adapter to the September 2026 proposed library shape.
It is not a released BluePilot library, tag, or claim of BluePilot validation.
The existing curvature controller remains StarPilot-owned. Pinion curvature,
curvature-primary settings and the unsafe native reset bypass are not imported.
The exact upstream root notices are additionally retained as upstream-root-LICENSE
and upstream-root-LICENSE.md; LICENSE/ LICENSE.md retain the opendbc notices.
ORIGIN_HISTORY.tsv records the inspected path history with commit IDs/authors/dates.
The private compact upstream root clone preserves its reachable root history.
Pre-conversion opendbc submodule objects are not included in that root history.
Angle lane-centering trim is separately adapted from BluePilot bp-dev
[e22afa6be9b881fa784c92ebb316db47728a3d81](https://github.com/BluePilotDev/bluepilot/commit/e22afa6be9b881fa784c92ebb316db47728a3d81),
`opendbc/sunnypilot/car/ford/lane_center_trim.py` (blob
`5eedebd79e99493624f9d6af0750d1dd5713306c`). Alan Polk authored the initial
trim, model-position fallback, correction slew and default-strength changes;
ghbarker contributed reference/NaN guards and tests. The source explicitly credits
StarPilot/u/jc01rho for curvature-domain placement/geometry. The core adaptation
adds immutable host projection and conservative stale/driver-pressure suppression.
The pinned bp-7.0 controller baseline and default-disabled policy are unchanged.
Both simultaneous root/opendbc MIT and Custom MIT notices also exist unchanged at
this trim revision; all retained notices and permission acknowledgments apply
without assigning an exclusive license or claiming a new permission grant.
@@ -0,0 +1,7 @@
Copyright (c) 2020, Comma.ai, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
@@ -0,0 +1,21 @@
# Custom MIT License
Copyright (c) 2024, Haibin Wen, SUNNYPILOT LLC
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to view and modify the Software, subject to the following conditions:
1. **Permission Required**: Permission Required for Commercial, For-Profit, or Closed Source Use: Use of the Software, in whole or in part, for any commercial purposes, for-profit projects, or in closed source projects requires explicit written permission from the original author(s).
2. **Redistribution**: Any redistribution of the Software, modified or unmodified, must retain this license notice and the following acknowledgment:
"This software is licensed under a custom license requiring permission for use."
3. **Visibility**: Any project that uses the Software must visibly mention the following acknowledgment:
"This project uses software from Haibin Wen and SUNNYPILOT LLC and is licensed under a custom license requiring permission for use."
4. **No Warranty**: THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Contact sunnypilot Support <support@sunnypilot.ai> for permission requests.
---
Haibin Wen, SUNNYPILOT LLC
@@ -0,0 +1,38 @@
9d190417bf74563abfa6f36996f1e673e9ee0a1b Praeuner 2026-08-13T22:26:15-05:00 Update dampening factor to .25
a881646ea5edc21c0db4c4e74076e0dc14671a4e alan-polk 2026-08-10T09:04:52-05:00 Merge pull request #176 from BluePilotDev/bp-no-stall
9012f76666a5c90764fcaec40832b9a607488c27 John Christman 2026-08-05T17:49:59-04:00 anti-stall
3610e3f18a0ad37d793d7ada61dbc739ab1077a3 Nathan Ingraham 2026-07-23T22:26:29-05:00 self.path_angle_gain_lowC_highV remains the platform-specific base gain. The toggle now controls separate self.user_dampening_factor. l ow_gain_calc uses: self.path_angle_gain_lowC_highV * self.user_dampening_factor UI placement, description, default, and 0.75–1.25 range remain unchanged.
1db52bc79e607ddb00214254dd4d732615e27fe4 Nathan Ingraham 2026-07-23T00:00:51-05:00 -Added “High Speed Dampening” directly below “High Speed Adjustment Factor”, range 0.75–1.25, step 0.01, and default 1.0.
5d994c24edf63f3b9004b2963f18ef4199e5d368 Jacob Neulight 2026-07-18T20:17:04-06:00 Ford safety: optional pinion-sourced angle_meas behind STEER_ANGLE_CURVATURE SP flag
699c17d9fde62c690eed9d68eed7d731744d5137 Jacob Neulight 2026-07-18T19:53:46-06:00 Ford: publish angle-mode shadow curvature from measured curvature during overrides
b7428fee4b116d4832f91c850d54cac2730de2ef alan-polk 2026-07-18T08:52:24-05:00 restore curvature safety checks to bp-6.0 logic.
97867c1eb57b7472f6fc3de62f0fef576e5a5497 alan-polk 2026-07-16T19:18:05-05:00 Human Turn Reset for Angle (#118)
7efee67e3e643d52b973895d6c6765c5cc12e314 alan-polk 2026-07-16T08:19:43-05:00 angle mode: rescale exit-detection threshold for 20Hz cadence
1958a3501ead10ae1f496f0d11e1e8cda6e2dbcc alan-polk 2026-07-14T15:22:38-05:00 Bp 7.0 variable cleanup (#111)
8f8d6d15f0a590f42b78de964ffb0d0af7f5d63d alan-polk 2026-07-14T08:53:28-05:00 Bp 7.0 panda2 (#109)
11ac3b760671b489ca449d522f1edf240a232884 alan-polk 2026-07-09T07:53:21-05:00 angle mode: fix ROC values tuned for 100Hz cadence running at actual 20Hz
dbdcea747e65f574d326a55c9bf1a9d6c9485e22 alan-polk 2026-07-08T09:21:32-05:00 Revert "ford: add current-curvature deviation check to angle mode (panda-side)"
69a9714563622729ba304ac75354ba3fd37b0b39 alan-polk 2026-07-08T09:17:09-05:00 ford: add current-curvature deviation check to angle mode (panda-side)
be7f86a5d0dc1ea3b3f0052d4b54ff0b8a70f843 John Christman 2026-07-06T21:53:55-04:00 cast on debug
5c1fbb07dd4d7d950a01cb2cd1faddd90d41e632 alan-polk 2026-07-06T14:20:49-05:00 controllerStateBP: add angleRateLimited + curvatureRateLimited diagnostics
06d654e5f48ea8fcffce6e98e48e3a30450b5097 alan-polk 2026-06-25T23:28:51-05:00 Revert "temp blend ratio change" — restore predicted-curvature blend to 0.50
540e69fcf4861a2ce5d7ca41467effc231638e27 alan-polk 2026-06-22T08:35:44-05:00 temp blend ratio change
e3819c7e630d85cfb44858840124fe7f72f1762d alan-polk 2026-06-13T20:47:09-05:00 ford.h: don't block angle mode on the inactive curvature signal
5d343738e30267688d0ffa6eebe2ec3ca57b10ee alan-polk 2026-06-13T18:28:30-05:00 ford.h: widen path_angle ROC to 2% looser than lateral_angle_ext _soft_roc
d0aac605f99d37e9da205e419f7989c1e9eaa386 alan-polk 2026-06-13T11:15:50-05:00 BluePilot: add angle-primary lateral control mode
51d5de8991508c862e7c51333e5055425b2b8d23 alan-polk 2026-04-11T12:00:10-05:00 fixing missing punctation in ford.h
8194ceb7e0bbc112c73d393a8f0add3261f6592d alan-polk 2026-04-11T11:51:49-05:00 make safety limits symetrical but control limits asymetrical. Add 1.5s duration to detect human turn
db2bdff05df103d71df62f45c2a3cb5211aba6e6 alan-polk 2026-04-09T23:47:30-05:00 move all external logic to lateral_curv_ext.py. Apply some order of operations fixes to try and eleminate panda blocking messages.
1a8ac23b5bd5d7952c15eb913c2b1e39f14ad92e Blue Genie 2026-04-08T15:10:24-05:00 Adjust panda limits
892be076daf898d806983f847c72357accff7312 Blue Genie 2026-04-08T11:45:28-05:00 Add logging functionality
ce7d27230657159332f64a253a0faea6cf8dcc95 alan-polk 2026-04-08T11:40:02-05:00 fix rate of change limits
021b5146e80ac58fe2e81dbd848bc7cd409ef08e alan-polk 2026-04-07T16:24:38-05:00 align ford.h limits with dbc and carcontroller
7f9212f7f8dc22c4a0a22443158554f4d3652a3c tonesto7 2026-04-05T21:28:37-04:00 Merge bp-6.1 upstream changes into bp-6.0-dev (#124)
dd1a9d3fd8f60462d3d8ac6de3e7860e70e1f667 alan-polk 2025-12-12T12:22:31-06:00 convert opendbc from a submodule to a subfolder
10101012d8a4cc37951a557023824cdd995443a6 alan-polk 2026-08-10T17:23:04Z BluePilot: angle-mode lane centering trim (advanced lane positioning)
560e80e9d593badca08aa60e8ddb692e58033425 alan-polk 2026-08-11T12:50:00Z BluePilot: angle-mode lane centering falls back to model position, not zero
94bf8144d4a683e9f3408f3babf892878f3b81f4 ghbarker 2026-08-12T01:31:33Z ford ALP: restore StarPilot guards (narrow lane, laneline std, NaN params) and cap applied correction at 0.0015
80825b81568ad684fe4ec37a797d3cbaa004fdcf ghbarker 2026-08-13T01:04:02Z split applied-correction ceiling into its own PR per review
e5b92cc48b34ea43ac756a96a96687c9851a188d ghbarker 2026-08-13T01:05:07Z add tests for the restored guards
af4bc410c9ef417ba723212ceaa2a77758dd8ecb alan-polk 2026-08-14T03:24:28Z BluePilot: rate-limit the lane centering correction, not just filter it
8eea9eb68e0c4126ee1c52f251e274d5865b6743 alan-polk 2026-08-19T13:33:00Z BluePilot: lower angle-mode lane centering default strength to 0.25
Can't render this file because it contains an unexpected character in line 14 and column 85.
@@ -0,0 +1,81 @@
# BluePilot Ford angle control
StarPilot adaptation of BluePilotDev/bluepilot `bp-7.0`, pinned to
[e1d051d7ba270261b4455068bd68f1a58db15a4a](https://github.com/BluePilotDev/bluepilot/commit/e1d051d7ba270261b4455068bd68f1a58db15a4a).
The layout follows Alan Polk's September 2026 library proposal. This is an
adaptation, not an upstream library release.
Existing curvature control remains the default. Explicit `FordLateralMode=1`
selects angle control next drive; the saved choice persists when unavailable.
Only this selector is exposed. Fixed defaults and bounds live in
`params/manifest.json`; pinion-yaw correction and curvature-primary tuning are
outside this library. Angle lane-centering trim is available as a default-disabled
core capability, separately sourced from BluePilot bp-dev
`e22afa6be9b881fa784c92ebb316db47728a3d81`; it adds no public settings.
`core/` accepts scalar/model inputs without openpilot, Params or messaging
imports. `can/` owns encoding, `safety/ford_bp.h` owns native enforcement, and
`hosts/starpilot.py` connects the host. `params/protocol.json` generates the wire
constants. The folder is vendored without submodules, LFS or an external runtime.
## Admission
Classic: Bronco Sport Mk1, Escape Mk4, Focus Mk4, Maverick Mk1, Explorer Mk6.
CAN FD: Escape Mk4.5, Expedition Mk4, F150 Mk14, F150 Lightning Mk1, Ranger Mk2,
Mustang Mach-E Mk1.
Exact classic safety parameters 32/33 map to angle 128/129; CAN FD 18/19 and
66/67 map to 130/131. Parameter 131 requires DEBUG; RELEASE retains stock 130.
Longitudinal, radar, fingerprint and parser policy remain host-owned. Admission
uses the final CarParams contract, not brand or steering-control enum alone.
AOL, alternative experiences, Transit, Edge, Mondeo, SecOC, passive, dashcam,
notCar and unsupported static flags are excluded. Auxiliary noOutput requires
parameter zero; production deployments with two Pandas remain unqualified until
actual startup, bus routing and public acknowledgments are verified.
## Safety design
The extension uses small Ford hooks without changing shared safety headers or
existing curvature namespaces. Active steering requires ordinary controls
permission, healthy physical RX and a fresh matching public Panda acknowledgment
of safety parameter, alternative experience, controls, RX validity, heartbeat and
faults. Cruise, gas/brake, checksum, counter, quality and freshness checks apply.
Neutral mode cannot grant permission.
The BluePilot reset-bypass latch is omitted. Rejected frames preserve accepted
actuator history and withdraw the shadow lease; accepted neutral commands or
permission withdrawal reset history. Lost counters recover through neutral
resynchronization. Version or checksum failure cannot fall through to curvature
control.
Active frames carry neutral curvature, offset and curvature rate, with checked
mode, ramp, precision, path angle, counter, checksum and cadence. Native enforcement
checks the shadow against the actual path across gains 0.95–1.3, bounds both by
`min(0.02, 2.4114/v²)`, and bounds the full actual-curvature interval against
measured curvature above 10 m/s. Actual path also obeys the 3.5886 m/s³ equivalent
jerk limit and rolling message-rate limit. Core quantization and timing margins
keep packed commands inside these bounds; an impossible intersection is neutral.
The versioned 0x3CA announcement preserves StarPilot's existing byte 4 bit 1
curvature flag and requires it clear in angle mode. It carries a counter, signed
shadow curvature, protocol version and checksum; its lease expires after 60 ms.
The shadow derives from the final path after rate limiting and saturation.
Control computes at 20 Hz, announces through 33 Hz LKA, then sends the latest
announced result at 20 Hz, adding at most one steering tick. Permission withdrawal
sends neutral immediately. Human-turn recovery uses bounded neutral blips without
a native bypass. The retained Dom factory steering delay is 0.22 s; pinned
BluePilot uses 0.20 s.
These stricter native limits and versioned metadata intentionally differ from
BluePilot 7.0. Identical bytes or safety decisions are not claimed for affected
commands. Runtime and physical ECU qualification remain pending.
## Attribution and notices
See `CREDITS.md`, `ORIGIN_HISTORY.tsv` and the project `THIRD_PARTY_NOTICES.md`.
Both upstream MIT and Custom MIT notices are retained verbatim in `LICENSE`,
`LICENSE.md`, `upstream-root-LICENSE` and `upstream-root-LICENSE.md`. The maintainer
reports author permission to use this adaptation under MIT. Both published notices
remain intact.
@@ -0,0 +1,34 @@
"""Adapter to the proposed BluePilot library; angle only, exact source pinned."""
from opendbc.bluepilot_lateral.can.ford import lateral, lka
from opendbc.bluepilot_lateral.core.angle import Command
from opendbc.bluepilot_lateral.hosts.starpilot import Host, qualified
class BluePilotLateral:
def __init__(self, CP, *, host=None):
if not qualified(CP):
raise ValueError("Angle mode is not configured")
self.host = host or Host(CP)
self.canfd = bool(CP.flags & 1)
self.pending = Command()
self.announced = Command()
self.announced_ns = 0
self.lka_counter = 0
self.apply_curvature_last = 0.0
def step_lateral(self, CC, CS, packer, CAN, frame, now_ns):
self.pending = self.host.update(CC, CS)
command = self.announced
# A pending permission withdrawal is immediate; an increase waits until
# the 33Hz side channel has announced the matching final actuator.
if not self.pending.active or not 0 < self.announced_ns <= now_ns <= self.announced_ns + 60_000_000:
command = Command()
self.announced = command
return [lateral(packer, CAN.main, command, canfd=self.canfd, counter=frame // 5)]
def step_lka(self, packer, CAN, now_ns):
self.announced = self.pending
self.announced_ns = now_ns
message = lka(packer, CAN.main, self.announced.shadow_curvature, self.lka_counter)
self.lka_counter = (self.lka_counter + 1) % 8
return [message]
@@ -0,0 +1,37 @@
"""Ford angle codecs, adapted from BluePilot fordcan_ext.py at e1d051d7.
Core commands use planner signs; path and shadow are negated on the wire.
The v1 side channel retains byte4 bit1 for StarPilot's curvature announcement.
"""
from opendbc.bluepilot_lateral.params import protocol as p
def checksum4(dat):
return (15 - (sum(dat[:7]) & 15)) & 15
def lka(packer, bus, shadow, counter):
addr, original, _ = packer.make_can_msg("Lane_Assist_Data1", bus, {"LaRefAng_No_Req": 0., "LaCurvature_No_Calc": 0.})
dat = bytearray(original)
raw = max(-20000, min(20000, round(-shadow / p.SHADOW_SCALE))) & 0xFFFF
dat[4] |= p.ANGLE_MASK | ((counter % p.COUNTER_MODULUS) << p.COUNTER_SHIFT)
dat[5], dat[6] = raw >> 8, raw & 255
dat[7] = p.VERSION | (checksum4(dat) << p.CHECKSUM_SHIFT)
return addr, bytes(dat), bus
def lateral(packer, bus, command, *, canfd, counter):
values = {"HandsOffCnfm_B_Rq": 0, "LatCtlRampType_D_Rq": 2 if command.active else 0,
"LatCtlPrecision_D_Rq": command.precision, "LatCtlPathOffst_L_Actl": 0.0,
"LatCtlPath_An_Actl": -command.path_angle, "LatCtlCurv_No_Actl": 0.0}
if canfd:
values.update({"LatCtl_D2_Rq": int(command.active), "LatCtlCrv_NoRate2_Actl": 0.0,
"LatCtlPath_No_Cnt": counter % 16, "LatCtlPath_No_Cs": 0})
dat = packer.make_can_msg("LateralMotionControl2", bus, values)[1]
fields = ((dat[2] << 3) | (dat[3] >> 5), (dat[6] << 3) | (dat[7] >> 5),
((dat[3] & 31) << 6) | (dat[4] >> 2), ((dat[4] & 3) << 8) | dat[5])
total = int(command.active) + counter % 16 + sum(v + (v >> 8) for v in fields)
values["LatCtlPath_No_Cs"] = 255 - (total & 255)
return packer.make_can_msg("LateralMotionControl2", bus, values)
values.update({"LatCtl_D_Rq": int(command.active), "LatCtlRng_L_Max": 0, "LatCtlCurv_NoRate_Actl": 0.0})
return packer.make_can_msg("LateralMotionControl", bus, values)
@@ -0,0 +1,198 @@
"""Angle-primary Ford steering adapted from Alan Polk's BluePilot bp-7.0.
Source e1d051d7ba270261b4455068bd68f1a58db15a4a lateral_angle_ext.py.
See ../LICENSE, ../LICENSE.md and ../CREDITS.md. This core has no vehicle,
openpilot, Params, messaging or model-constant imports.
"""
from dataclasses import dataclass
import math
from ..params import limits as bounds
from .trim import LaneCenterTrim, LaneGeometry, TrimConfig
def clip(value, low, high):
return max(low, min(high, value))
def interp(value, xs, ys):
if value <= xs[0]:
return ys[0]
for i in range(1, len(xs)):
if value < xs[i]:
return ys[i - 1] + (ys[i] - ys[i - 1]) * (value - xs[i - 1]) / (xs[i] - xs[i - 1])
return ys[-1]
@dataclass(frozen=True)
class Inputs:
active: bool
speed: float
measured_curvature: float
desired_curvature: float
steering_pressed: bool = False
steering_angle: float = 0.0
yaw_predictions: tuple = ()
time_indices: tuple = ()
lateral_delay: float = 0.15
lane_change: bool = False
lane_direction: int = 0
limit_status: int = 0
geometry: LaneGeometry | None = None
@dataclass(frozen=True)
class Command:
active: bool = False
path_angle: float = 0.0
shadow_curvature: float = 0.0
precision: int = 1
class AngleController:
def __init__(self, *, low_gain=1.0, high_gain=1.15, trim_config=None):
self.trim_config = TrimConfig() if trim_config is None else trim_config
self.trim = LaneCenterTrim()
self.low_gain = low_gain
self.high_gain = high_gain
self.path_last = 0.0
self.speed_last = 0.1
self.desired_last = 0.0
self.human_timer = 0.0
self.press_last = False
self.preturned = False
self.press_timer = 0.0
self.blip_frames = 0
self.blip_cooldown = 0.0
self.blip_hold = 0.0
self.blip_count = 0
def reset(self):
self.trim.reset()
self.path_last = 0.0
self.speed_last = 0.1
self.desired_last = 0.0
self.human_timer = 0.0
self.press_last = False
self.preturned = False
self.press_timer = 0.0
self.blip_frames = 0
self.blip_cooldown = 0.0
self.blip_hold = 0.0
self.blip_count = 0
def step(self, i: Inputs) -> Command:
values = (i.speed, i.measured_curvature, i.desired_curvature, i.steering_angle, i.lateral_delay)
if not i.active or not all(math.isfinite(v) for v in values) or i.speed < 0.0:
self.reset()
return Command()
if i.steering_pressed and not self.press_last:
self.preturned = abs(i.steering_angle) > 45.0
self.press_last = i.steering_pressed
self.human_timer = self.human_timer + 0.05 if i.steering_pressed and abs(i.steering_angle) > 45.0 else 0.0
if self.human_timer + 1e-9 >= (3.0 if self.preturned else 1.5):
self.trim.reset()
self.path_last = 0.0
self.desired_last = i.desired_curvature
self.blip_frames = self.blip_count = 0
self.blip_hold = self.blip_cooldown = self.press_timer = 0.0
return Command()
if i.steering_pressed:
self.press_timer += 0.05
else:
if self.press_timer >= 0.5 and self.blip_cooldown <= 0.0 and self.blip_frames <= 0 and abs(self.path_last) < 0.1:
self.blip_frames = 6
self.press_timer = 0.0
if self.blip_frames > 0:
self.blip_frames -= 1
self.trim.reset()
self.path_last = 0.0
self.desired_last = i.desired_curvature
if self.blip_frames == 0:
self.blip_cooldown = 2.0
return Command()
base = clip(i.lateral_delay, 0.1, 0.15) + 0.05
predictions_valid = (len(i.yaw_predictions) == len(i.time_indices) and len(i.time_indices) >= 17 and
all(math.isfinite(v) for v in (*i.yaw_predictions, *i.time_indices)) and
all(b > a for a, b in zip(i.time_indices, i.time_indices[1:], strict=False)))
curves = tuple(y / max(0.01, i.speed) for y in i.yaw_predictions) if predictions_valid else ()
entering = bool(curves) and abs(interp(base, i.time_indices, curves)) > abs(i.desired_curvature)
factor = 1.0 if entering else interp(abs(i.desired_curvature), (0.005, 0.020), (1.0, 0.0))
lookup = base + bounds.VLT_EXTRA * interp(i.speed, (11.176, 24.5872), (1.0, 0.0)) * factor
predicted = interp(lookup, i.time_indices, curves) if curves else i.desired_curvature
saturated = i.limit_status >= 2 or self.path_last >= 0.5235 * 0.9 or self.path_last <= -0.5 * 0.9
falling = abs(i.desired_curvature) < abs(self.desired_last) - 0.010
blend = bounds.BLEND * 0.25 if not entering and (i.limit_status >= 1 or saturated or falling) else bounds.BLEND
requested = predicted * blend + i.desired_curvature * (1.0 - blend)
self.desired_last = i.desired_curvature
precision = 0 if i.lane_change and ((i.lane_direction == 1 and requested < 0) or
(i.lane_direction == 2 and requested > 0)) else 1
# BluePilot's default lane-change factors are both 1.0.
# Trim requested curvature before every existing actuator/safety limiter.
requested = self.trim.update(requested, i.speed, i.geometry, self.trim_config,
active=i.active, lane_change=i.lane_change, steering_pressed=i.steering_pressed)
kappa = clip(requested, i.measured_curvature - 0.002, i.measured_curvature + 0.002) if i.speed > 9.0 else requested
low = interp(i.speed, (13.5, 26.82), (1.0, self.low_gain))
high = interp(i.speed, (13.5, 26.82), (1.3, self.high_gain))
gain = interp(abs(kappa), (0.0007, 0.001), (low, high))
path = kappa * i.speed * gain
if saturated:
last_mag, magnitude = abs(self.path_last), abs(path)
if magnitude > last_mag:
path = self.path_last
elif last_mag - magnitude > 0.02:
path = math.copysign(last_mag - 0.02, self.path_last)
elif i.limit_status >= 1:
path = clip(path, -abs(self.path_last), abs(self.path_last))
roc = interp(i.speed, (10.0, 15.0, 25.0), (0.055, 0.0425, 0.009))
path = clip(clip(path, -0.5235, 0.5), self.path_last - roc, self.path_last + roc)
# Tightening relative to bp-7.0: the shadow describes the final actuator,
# including ROC/saturation. A truthful derived curvature must fit both the
# measured-curvature interval and the modern ISO envelope. If those bands
# cannot meet the previous actuator ROC, send a neutral mode-0 frame.
effective_speed = max(i.speed, 0.1)
cap = min(bounds.CURVATURE_MAX, bounds.LATERAL_ACCEL / max(i.speed, 1.0) ** 2)
low_kappa, high_kappa = -cap, cap
if i.speed > 9.0:
low_kappa = max(low_kappa, i.measured_curvature - 0.0018)
high_kappa = min(high_kappa, i.measured_curvature + 0.0018)
# Native cannot trust a host-selected feel gain. Intersect every admitted
# gain (0.95..1.3), so the worst equivalent curvature remains bounded.
lower_gain = bounds.GAIN_MAX if low_kappa >= 0.0 else bounds.GAIN_MIN
upper_gain = bounds.GAIN_MIN if high_kappa >= 0.0 else bounds.GAIN_MAX
lower = max(-bounds.PATH_MAX, low_kappa * effective_speed * lower_gain, self.path_last - roc)
upper = min(-bounds.PATH_MIN, high_kappa * effective_speed * upper_gain, self.path_last + roc)
# Bound the actual-angle equivalent derivative at the worst admitted gain.
# 45ms core margin remains inside the native elapsed-time/50ms cap.
jerk_delta = bounds.LATERAL_JERK / max(i.speed - 1.0, 1.0) ** 2 * bounds.CORE_STEER_PERIOD_S * bounds.GAIN_MIN * effective_speed
jerk_center = self.path_last / self.speed_last * effective_speed
lower = max(lower, jerk_center - jerk_delta)
upper = min(upper, jerk_center + jerk_delta)
lower += bounds.PATH_ROUNDING_MARGIN
upper -= bounds.PATH_ROUNDING_MARGIN
if lower > upper:
self.trim.reset()
self.path_last = 0.0
return Command()
path = clip(path, lower, upper)
self.path_last = path
self.speed_last = effective_speed
shadow = path / (effective_speed * gain)
self.blip_cooldown = max(0.0, self.blip_cooldown - 0.05)
gap = i.desired_curvature - i.measured_curvature
stalled = (not i.steering_pressed and not i.lane_change and i.speed > 9.0 and abs(gap) > 0.004 and
abs(i.desired_curvature) > abs(i.measured_curvature))
if stalled:
if abs(kappa - requested) > 1e-9 and self.blip_cooldown <= 0.0:
self.blip_hold += 0.05
if self.blip_hold >= 0.5 and self.blip_count < 3 and abs(path) < 0.1:
self.blip_frames = 6
self.blip_hold = 0.0
self.blip_count += 1
else:
self.blip_hold = 0.0
if i.steering_pressed or abs(gap) < 0.002:
self.blip_count = 0
return Command(True, path, shadow, precision)
@@ -0,0 +1,104 @@
"""Pure angle lane-centering trim adapted from BluePilot bp-dev e22afa6b.
Alan Polk and ghbarker; the source also credits StarPilot/u/jc01rho.
See ../CREDITS.md, ../LICENSE and ../LICENSE.md. Geometry/confidence/fallback,
filter and slew follow lane_center_trim.py; this module receives immutable arrays
instead of a host model. Stale geometry and driver pressure additionally suppress
trim, and nonfinite confidence cannot create correction.
"""
from dataclasses import dataclass
import math
from ..params.trim import DEFAULTS, BOUNDS
def clip(value, low, high):
return max(low, min(high, value))
def interp(value, xs, ys):
if value <= xs[0]:
return ys[0]
for index in range(1, len(xs)):
if value < xs[index]:
return ys[index - 1] + (ys[index] - ys[index - 1]) * (value - xs[index - 1]) / (xs[index] - xs[index - 1])
return ys[-1]
@dataclass(frozen=True)
class TrimConfig:
enabled: bool = DEFAULTS["enabled"]
offset_m: float = DEFAULTS["offset_m"]
gain: float = DEFAULTS["gain"]
@dataclass(frozen=True)
class LaneGeometry:
position_x: tuple = ()
position_y: tuple = ()
left_x: tuple = ()
left_y: tuple = ()
right_x: tuple = ()
right_y: tuple = ()
probabilities: tuple = ()
standard_deviations: tuple = ()
fresh: bool = False
def sample(xs, ys, distance):
if (not isinstance(xs, tuple) or not isinstance(ys, tuple) or len(xs) < 2 or len(xs) != len(ys) or
not all(math.isfinite(v) for v in (*xs, *ys)) or not all(b > a for a, b in zip(xs, xs[1:], strict=False))):
return None
return interp(distance, xs, ys)
class LaneCenterTrim:
def __init__(self):
self.correction = 0.0
def reset(self):
self.correction = 0.0
def update(self, requested, speed, geometry, config, *, active, lane_change, steering_pressed=False):
try:
valid = (isinstance(config, TrimConfig) and config.enabled is True and active and not lane_change and
not steering_pressed and isinstance(geometry, LaneGeometry) and geometry.fresh is True and
math.isfinite(requested) and math.isfinite(speed) and speed >= 0.0 and
math.isfinite(config.offset_m) and BOUNDS["offset_m"][0] <= config.offset_m <= BOUNDS["offset_m"][1] and
math.isfinite(config.gain) and BOUNDS["gain"][0] <= config.gain <= BOUNDS["gain"][1])
authority = interp(speed, BOUNDS["speed_mps"], BOUNDS["speed_authority"]) if valid else 0.0
if not valid or authority <= 0.0:
self.reset()
return requested
distance = clip(speed, *BOUNDS["lookahead_m"])
model_y = sample(geometry.position_x, geometry.position_y, distance)
if model_y is None:
self.reset()
return requested
# Bad lane-only geometry retains the source's model-position/offset fallback.
scale, center = self.lane_blend(geometry, distance)
error = scale * (center - model_y) + config.offset_m
raw = 2.0 * error / distance ** 2
target = clip(raw, -BOUNDS["raw_correction"], BOUNDS["raw_correction"]) * config.gain * authority
alpha = 1.0 - math.exp(-BOUNDS["period_s"] / BOUNDS["tau_s"])
filtered = alpha * target + (1.0 - alpha) * self.correction
self.correction = clip(filtered, self.correction - BOUNDS["correction_delta"], self.correction + BOUNDS["correction_delta"])
return requested + self.correction
except (AttributeError, IndexError, TypeError, ValueError, OverflowError):
self.reset()
return requested
def lane_blend(self, geometry, distance):
try:
left = sample(geometry.left_x, geometry.left_y, distance)
right = sample(geometry.right_x, geometry.right_y, distance)
probs, stds = geometry.probabilities, geometry.standard_deviations
if (left is None or right is None or not isinstance(probs, tuple) or not isinstance(stds, tuple) or
len(probs) != 2 or len(stds) != 2 or not all(math.isfinite(p) and 0.0 <= p <= 1.0 for p in probs) or
not all(math.isfinite(s) and s >= 0.0 for s in stds)):
return 0.0, 0.0
confidence = min(*probs, interp(right - left, BOUNDS["width_m"], BOUNDS["width_tolerance"]),
interp(max(stds), BOUNDS["std"], BOUNDS["std_tolerance"]))
scale = clip(interp(confidence, BOUNDS["confidence"], (0.0, 1.0)), 0.0, 1.0)
return scale, 0.5 * (left + right)
except (AttributeError, IndexError, TypeError, ValueError, OverflowError):
return 0.0, 0.0
@@ -0,0 +1,101 @@
"""StarPilot's CP adapter; model transport and saved Params stay in the host.
Only exact final CP words derived from the existing five classic/six CANFD
extended profiles can select angle. AOL and Transit keep their current owner.
"""
from opendbc.car import structs
from opendbc.car.ford.values import CAR, FordFlags
from opendbc.bluepilot_lateral.core.angle import AngleController, Inputs
from opendbc.bluepilot_lateral.core.trim import LaneGeometry
from opendbc.bluepilot_lateral.params import limits as bounds
ANGLE_FLAG = 128
CLASSIC = frozenset({CAR.FORD_BRONCO_SPORT_MK1, CAR.FORD_ESCAPE_MK4, CAR.FORD_FOCUS_MK4,
CAR.FORD_MAVERICK_MK1, CAR.FORD_EXPLORER_MK6})
CANFD = frozenset({CAR.FORD_ESCAPE_MK4_5, CAR.FORD_EXPEDITION_MK4, CAR.FORD_F_150_MK14,
CAR.FORD_F_150_LIGHTNING_MK1, CAR.FORD_RANGER_MK2, CAR.FORD_MUSTANG_MACH_E_MK1})
TRUCKS = CANFD - {CAR.FORD_ESCAPE_MK4_5, CAR.FORD_MUSTANG_MACH_E_MK1}
def mode_word(cp, *, selected):
if (cp.brand != "ford" or cp.passive or cp.dashcamOnly or cp.notCar or cp.alternativeExperience != 0 or
cp.steerControlType != structs.CarParams.SteerControlType.angle or
not cp.pcmCruise or len(cp.safetyConfigs) not in (1, 2)):
return None
if len(cp.safetyConfigs) == 2 and (cp.safetyConfigs[0].safetyModel != structs.CarParams.SafetyModel.noOutput or
cp.safetyConfigs[0].safetyParam != 0):
return None
fd = cp.carFingerprint in CANFD
if ((fd and (not cp.flags & FordFlags.CANFD or cp.flags & ~int(FordFlags.CANFD | FordFlags.HAS_BSM))) or
(not fd and (cp.carFingerprint not in CLASSIC or cp.flags & ~int(FordFlags.HAS_BSM)))):
return None
safety = cp.safetyConfigs[-1]
long = int(cp.openpilotLongitudinalControl)
original = (18 if cp.carFingerprint == CAR.FORD_MUSTANG_MACH_E_MK1 else 66) + long if fd else 32 + long
expected = ANGLE_FLAG + (2 if fd else 0) + long if selected else original
return expected if safety.safetyModel == structs.CarParams.SafetyModel.ford and safety.safetyParam == expected else None
def supported(cp):
return mode_word(cp, selected=False) is not None or mode_word(cp, selected=True) is not None
def qualified(cp):
return mode_word(cp, selected=True) is not None
def select(cp, raw):
# Absence/invalid bytes stay at current curvature. Never rewrite saved bytes.
chosen = (type(raw) is int and raw == 1) or (type(raw) in (bytes, str) and raw in (b"1", "1"))
if not chosen or mode_word(cp, selected=False) is None:
return False
cp.safetyConfigs[-1].safetyParam = ANGLE_FLAG + (2 if cp.flags & FordFlags.CANFD else 0) + int(cp.openpilotLongitudinalControl)
cp.steerActuatorDelay = 0.22
return True
def model_geometry(model, *, fresh=False):
"""Project a caller-qualified snapshot to immutable core arrays; no model imports."""
if model is None or fresh is not True:
return None
try:
position_x, position_y = tuple(model.position.x), tuple(model.position.y)
except (AttributeError, TypeError, ValueError):
return None
try:
return LaneGeometry(position_x=position_x, position_y=position_y, fresh=True, left_x=tuple(model.laneLines[1].x), left_y=tuple(model.laneLines[1].y),
right_x=tuple(model.laneLines[2].x), right_y=tuple(model.laneLines[2].y),
probabilities=(model.laneLineProbs[1], model.laneLineProbs[2]),
standard_deviations=(model.laneLineStds[1], model.laneLineStds[2]))
except (AttributeError, IndexError, TypeError, ValueError):
return LaneGeometry(position_x=position_x, position_y=position_y, fresh=True)
class Host:
def __init__(self, cp):
if not qualified(cp):
raise ValueError("BluePilot angle requires an exact admitted Ford safety word")
low, high = (0.95, 0.95) if cp.carFingerprint in TRUCKS else ((1.0, 1.05) if cp.carFingerprint in CANFD else (1.0, 1.15))
self.cp = cp
self.controller = AngleController(low_gain=low, high_gain=high)
self.inputs = None
def update(self, CC, CS):
if self.inputs is not None:
self.inputs.update()
snapshot = self.inputs.lateral_snapshot(CS.out.vEgoRaw) if self.inputs is not None else None
model, times, delay, _ = snapshot if snapshot is not None else (None, (), 0.15, True)
ready = (self.inputs is not None and self.inputs.native_permission(self.cp, max_age_ns=bounds.PANDA_AGE_NS) and
CC.enabled and CC.latActive and CS.out.cruiseState.enabled and CS.out.canValid and
not CS.out.canTimeout and not CS.out.gasPressed and not CS.out.brakePressed and
not CS.out.steerFaultTemporary and not CS.out.steerFaultPermanent and not CS.out.vehicleSensorsInvalid)
meta = model.meta if model is not None else None
return self.controller.step(Inputs(
active=ready, speed=CS.out.vEgoRaw, measured_curvature=-CS.out.yawRate / max(CS.out.vEgoRaw, 0.1),
desired_curvature=CC.actuators.curvature, steering_pressed=CS.out.steeringPressed,
steering_angle=CS.out.steeringAngleDeg, yaw_predictions=tuple(model.orientationRate.z) if model is not None else (),
time_indices=tuple(times), lateral_delay=delay,
lane_change=int(getattr(meta.laneChangeState, "raw", meta.laneChangeState)) in (1, 2, 3) if meta else False,
lane_direction=int(getattr(meta.laneChangeDirection, "raw", meta.laneChangeDirection)) if meta else 0,
limit_status=getattr(CS, "lat_ctl_lim_stat", 0),
geometry=model_geometry(model, fresh=snapshot is not None)))
@@ -0,0 +1,41 @@
"""Generate protocol constants without loading a host or vehicle module."""
import json
from pathlib import Path
root = Path(__file__).parent
spec = json.loads((root / "protocol.json").read_text())
(root / "protocol.py").write_text('"""Generated from protocol.json; layout preserves the existing curvature flag."""\n' +
"".join(f"{key.upper()} = {value!r}\n" for key, value in spec.items()))
(root / "protocol.h").write_text("#pragma once\n// Generated from protocol.json; do not allocate bit 1 to angle metadata.\n" +
"".join(f"#define FORD_BP_{key.upper()} {int(value)}U\n" for key, value in spec.items() if key != "shadow_scale"))
manifest = json.loads((root / "manifest.json").read_text())
defaults, bounds = manifest["defaults"], manifest["bounds"]
limits = {"BLEND": defaults["blend"], "VLT_EXTRA": defaults["vlt_extra_max"],
"PATH_MIN": bounds["path_angle_wire"][0], "PATH_MAX": bounds["path_angle_wire"][1],
"GAIN_MIN": bounds["gain"][0], "GAIN_MAX": bounds["gain"][1],
"CURVATURE_MAX": bounds["curvature"], "CURVATURE_ERROR": bounds["curvature_error"],
"LATERAL_ACCEL": bounds["lateral_accel"], "RX_AGE_US": bounds["rx_age_us"],
"SHADOW_AGE_US": bounds["shadow_age_us"], "PATH_ROUNDING_MARGIN": bounds["path_rounding_margin"],
"SHADOW_ROUNDING_MARGIN": bounds["shadow_rounding_margin"], "LATERAL_JERK": bounds["lateral_jerk"],
"RT_INTERVAL_US": bounds["rt_interval_us"], "STEER_PERIOD_US": bounds["steer_period_us"],
"CORE_STEER_PERIOD_S": bounds["core_steer_period_s"], "PANDA_AGE_NS": bounds["panda_age_ns"]}
(root / "limits.py").write_text('"""Generated from manifest.json; host and core use this manifest contract."""\n' +
"".join(f"{key} = {value!r}\n" for key, value in limits.items()))
(root / "limits.h").write_text("#pragma once\n// Generated from manifest.json; native and Python bounds share a source.\n" +
"".join(f"#define FORD_BP_{key} {str(value) + 'F' if isinstance(value, float) else str(value) + 'U'}\n"
for key, value in limits.items()))
# Optional angle trim settings are Python-only; native safety limits stay unchanged.
trim = manifest["angle_lane_trim"]
types = {"enabled": "bool", "offset_m": "float", "gain": "float"}
defaults_fields = "".join(f" {key}: {types[key]}\n" for key in trim["defaults"])
bounds_fields = "".join(f" {key}: {'list[float]' if isinstance(value, list) else 'float'}\n" for key, value in trim["bounds"].items())
(root / "trim.py").write_text('"""Generated Python-only angle trim defaults; no native bound or registry changes."""\n' +
"from typing import TypedDict\n\n\n" +
"class TrimDefaults(TypedDict):\n" + defaults_fields + "\n\n" +
"class TrimBounds(TypedDict):\n" + bounds_fields + "\n\n" +
f"SOURCE_REVISION = {trim['source_revision']!r}\n" +
f"DEFAULTS: TrimDefaults = {trim['defaults']!r}\n" +
"BOUNDS: TrimBounds = {\n" +
"".join(f" {key!r}: {value!r},\n" for key, value in trim["bounds"].items()) + "}\n")
@@ -0,0 +1,20 @@
#pragma once
// Generated from manifest.json; native and Python bounds share a source.
#define FORD_BP_BLEND 0.5F
#define FORD_BP_VLT_EXTRA 0.1F
#define FORD_BP_PATH_MIN -0.5F
#define FORD_BP_PATH_MAX 0.5235F
#define FORD_BP_GAIN_MIN 0.95F
#define FORD_BP_GAIN_MAX 1.3F
#define FORD_BP_CURVATURE_MAX 0.02F
#define FORD_BP_CURVATURE_ERROR 0.002F
#define FORD_BP_LATERAL_ACCEL 2.4114F
#define FORD_BP_RX_AGE_US 100000U
#define FORD_BP_SHADOW_AGE_US 60000U
#define FORD_BP_PATH_ROUNDING_MARGIN 0.0005F
#define FORD_BP_SHADOW_ROUNDING_MARGIN 1e-06F
#define FORD_BP_LATERAL_JERK 3.5886F
#define FORD_BP_RT_INTERVAL_US 250000U
#define FORD_BP_STEER_PERIOD_US 50000U
#define FORD_BP_CORE_STEER_PERIOD_S 0.045F
#define FORD_BP_PANDA_AGE_NS 300000000U
@@ -0,0 +1,19 @@
"""Generated from manifest.json; host and core use this manifest contract."""
BLEND = 0.5
VLT_EXTRA = 0.1
PATH_MIN = -0.5
PATH_MAX = 0.5235
GAIN_MIN = 0.95
GAIN_MAX = 1.3
CURVATURE_MAX = 0.02
CURVATURE_ERROR = 0.002
LATERAL_ACCEL = 2.4114
RX_AGE_US = 100000
SHADOW_AGE_US = 60000
PATH_ROUNDING_MARGIN = 0.0005
SHADOW_ROUNDING_MARGIN = 1e-06
LATERAL_JERK = 3.5886
RT_INTERVAL_US = 250000
STEER_PERIOD_US = 50000
CORE_STEER_PERIOD_S = 0.045
PANDA_AGE_NS = 300000000
@@ -0,0 +1,109 @@
{
"source_revision": "e1d051d7ba270261b4455068bd68f1a58db15a4a",
"settings": [
{
"key": "FordLateralMode",
"type": "enum",
"default": 0,
"values": {
"0": "Current curvature",
"1": "BluePilot angle"
},
"label": "Ford steering controller",
"description": "Select the steering controller for supported Ford profiles. Takes effect on the next drive.",
"modes": [
"angle"
]
}
],
"defaults": {
"blend": 0.5,
"vlt_extra_max": 0.1,
"low_speed_factor": 1.0,
"high_speed_factor": 1.0,
"dampening": 1.0,
"lane_change_factor": 1.0
},
"bounds": {
"path_angle_wire": [
-0.5,
0.5235
],
"gain": [
0.95,
1.3
],
"curvature_error": 0.002,
"lateral_accel": 2.4114,
"rx_age_us": 100000,
"shadow_age_us": 60000,
"steer_period_us": 50000,
"curvature": 0.02,
"path_rounding_margin": 0.0005,
"shadow_rounding_margin": 1e-06,
"lateral_jerk": 3.5886,
"rt_interval_us": 250000,
"core_steer_period_s": 0.045,
"panda_age_ns": 300000000
},
"angle_lane_trim": {
"source_revision": "e22afa6be9b881fa784c92ebb316db47728a3d81",
"defaults": {
"enabled": false,
"offset_m": 0.0,
"gain": 0.25
},
"bounds": {
"offset_m": [
-0.5,
0.5
],
"gain": [
0.0,
1.0
],
"width_m": [
2.4,
2.8,
3.75,
4.25
],
"width_tolerance": [
0.0,
0.81,
0.81,
0.59
],
"std": [
0.3,
0.5
],
"std_tolerance": [
0.81,
0.0
],
"confidence": [
0.6,
0.8
],
"speed_mps": [
0.0,
9.0,
15.0
],
"speed_authority": [
0.0,
0.0,
1.0
],
"lookahead_m": [
8.0,
35.0
],
"raw_correction": 0.004,
"tau_s": 0.4,
"period_s": 0.05,
"correction_delta": 0.00015
}
}
}
@@ -0,0 +1,10 @@
#pragma once
// Generated from protocol.json; do not allocate bit 1 to angle metadata.
#define FORD_BP_VERSION 1U
#define FORD_BP_ANGLE_MASK 1U
#define FORD_BP_EXTENDED_CURVATURE_MASK 2U
#define FORD_BP_COUNTER_SHIFT 2U
#define FORD_BP_COUNTER_MASK 28U
#define FORD_BP_COUNTER_MODULUS 8U
#define FORD_BP_VERSION_MASK 15U
#define FORD_BP_CHECKSUM_SHIFT 4U
@@ -0,0 +1,11 @@
{
"version": 1,
"angle_mask": 1,
"extended_curvature_mask": 2,
"counter_shift": 2,
"counter_mask": 28,
"counter_modulus": 8,
"shadow_scale": 1e-06,
"version_mask": 15,
"checksum_shift": 4
}
@@ -0,0 +1,10 @@
"""Generated from protocol.json; layout preserves the existing curvature flag."""
VERSION = 1
ANGLE_MASK = 1
EXTENDED_CURVATURE_MASK = 2
COUNTER_SHIFT = 2
COUNTER_MASK = 28
COUNTER_MODULUS = 8
SHADOW_SCALE = 1e-06
VERSION_MASK = 15
CHECKSUM_SHIFT = 4
@@ -0,0 +1,45 @@
"""Generated Python-only angle trim defaults; no native bound or registry changes."""
from typing import TypedDict
class TrimDefaults(TypedDict):
enabled: bool
offset_m: float
gain: float
class TrimBounds(TypedDict):
offset_m: list[float]
gain: list[float]
width_m: list[float]
width_tolerance: list[float]
std: list[float]
std_tolerance: list[float]
confidence: list[float]
speed_mps: list[float]
speed_authority: list[float]
lookahead_m: list[float]
raw_correction: float
tau_s: float
period_s: float
correction_delta: float
SOURCE_REVISION = 'e22afa6be9b881fa784c92ebb316db47728a3d81'
DEFAULTS: TrimDefaults = {'enabled': False, 'offset_m': 0.0, 'gain': 0.25}
BOUNDS: TrimBounds = {
'offset_m': [-0.5, 0.5],
'gain': [0.0, 1.0],
'width_m': [2.4, 2.8, 3.75, 4.25],
'width_tolerance': [0.0, 0.81, 0.81, 0.59],
'std': [0.3, 0.5],
'std_tolerance': [0.81, 0.0],
'confidence': [0.6, 0.8],
'speed_mps': [0.0, 9.0, 15.0],
'speed_authority': [0.0, 0.0, 1.0],
'lookahead_m': [8.0, 35.0],
'raw_correction': 0.004,
'tau_s': 0.4,
'period_s': 0.05,
'correction_delta': 0.00015,
}
@@ -0,0 +1,236 @@
#pragma once
// Angle-primary Ford extension adapted from Alan Polk's bp-7.0 e1d051d7.
// See ../CREDITS.md, ../LICENSE and ../LICENSE.md. No reset bypass.
#include "opendbc/bluepilot_lateral/params/protocol.h"
#include "opendbc/bluepilot_lateral/params/limits.h"
// Shared Ford stock-switch state is declared before the angle hooks below.
static bool ford_stock_switch = false;
static bool ford_bp_enabled = false;
static bool ford_bp_canfd = false;
static bool ford_bp_shadow_seen = false;
static bool ford_bp_lka_counter_seen = false;
static uint8_t ford_bp_lka_counter = 0U;
static int ford_bp_shadow_raw = 0;
static uint32_t ford_bp_shadow_us = 0U;
static int ford_bp_path_last = 0;
static bool ford_bp_control_counter_seen = false;
static uint8_t ford_bp_control_counter = 0U;
static bool ford_bp_control_seen = false;
static uint32_t ford_bp_control_us = 0U;
static float ford_bp_equivalent_last = 0.0F;
static unsigned int ford_bp_rt_msgs = 0U;
static unsigned int ford_bp_rt_msgs_prev = 0U;
static uint32_t ford_bp_rt_us = 0U;
static bool ford_bp_rx_seen[7];
static uint32_t ford_bp_rx_us[7];
static void ford_bp_invalidate_shadow(void) {
ford_bp_shadow_seen = false;
ford_bp_shadow_raw = 0;
}
static void ford_bp_withdraw(void) {
ford_bp_invalidate_shadow();
ford_bp_path_last = 0;
ford_bp_equivalent_last = 0.0F;
}
static bool ford_bp_configure(uint16_t param) {
ford_bp_enabled = ((param == 128U) || (param == 129U) || (param == 130U)) && (alternative_experience == 0);
#ifdef ALLOW_DEBUG
ford_bp_enabled |= (param == 131U) && (alternative_experience == 0);
#endif
ford_bp_canfd = (param & 2U) != 0U;
ford_bp_lka_counter_seen = false;
ford_bp_control_counter_seen = false;
ford_bp_control_seen = false;
ford_bp_lka_counter = 0U;
ford_bp_control_counter = 0U;
ford_bp_shadow_us = 0U;
ford_bp_control_us = 0U;
ford_bp_rt_msgs = 0U;
ford_bp_rt_msgs_prev = 0U;
ford_bp_rt_us = microsecond_timer_get();
ford_bp_withdraw();
for (unsigned int i = 0U; i < 7U; i++) {
ford_bp_rx_seen[i] = false;
ford_bp_rx_us[i] = 0U;
}
return ((param & 128U) == 0U) || ford_bp_enabled;
}
static bool ford_bp_health(uint32_t now);
static void ford_bp_rx(const CANPacket_t *msg) {
if (ford_bp_enabled && (msg->bus == 0U) && (GET_LEN(msg) == 8U)) {
const unsigned int ids[7] = {0x415U, 0x202U, 0x91U, 0x165U, 0x204U, 0x213U, 0x83U};
for (unsigned int i = 0U; i < 7U; i++) {
if (msg->addr == ids[i]) {
ford_bp_rx_seen[i] = true;
ford_bp_rx_us[i] = microsecond_timer_get();
}
}
// Angle-specific source freshness is stricter than the generic1s RX tick.
// Expose that withdrawal through the ordinary public controls acknowledgment.
if (controls_allowed && !ford_bp_health(microsecond_timer_get())) {
controls_allowed = false;
}
// Permission losses remove the old actuator history before any later arm.
if (!controls_allowed || brake_pressed || gas_pressed) {
ford_bp_withdraw();
}
}
}
static bool ford_bp_health(uint32_t now) {
bool valid = !safety_rx_checks_invalid && !relay_malfunction;
for (int i = 0; i < current_safety_config.rx_checks_len; i++) {
const RxStatus *status = &current_safety_config.rx_checks[i].status;
valid &= status->msg_seen && !status->lagging && status->valid_checksum &&
status->valid_quality_flag && (status->wrong_counters < MAX_WRONG_COUNTERS);
}
const unsigned int count = ford_stock_switch ? 7U : 6U;
for (unsigned int i = 0U; i < count; i++) {
const uint32_t age = ((i == 3U) || (i == 6U)) ? (2U * FORD_BP_RX_AGE_US) : FORD_BP_RX_AGE_US;
valid &= ford_bp_rx_seen[i] && (safety_get_ts_elapsed(now, ford_bp_rx_us[i]) <= age);
}
return valid;
}
static bool ford_bp_lka(const CANPacket_t *msg) {
const uint32_t now = microsecond_timer_get();
const unsigned int counter = (msg->data[4] & FORD_BP_COUNTER_MASK) >> FORD_BP_COUNTER_SHIFT;
unsigned int sum = 0U;
for (unsigned int i = 0U; i < 7U; i++) { sum += msg->data[i]; }
const unsigned int checksum = (15U - (sum & 15U)) & 15U;
// Preserve every DBC-owned bit of the packer's neutral LKA body.
const unsigned int angle = ((msg->data[2] & 0xFU) << 8) | msg->data[3];
const unsigned int curvature = (msg->data[1] << 4) | (msg->data[2] >> 4);
bool valid = !relay_malfunction && (msg->bus == 0U) && (GET_LEN(msg) == 8U) && (msg->data[0] == 0U) &&
(angle == 2048U) && (curvature == 2048U) &&
((msg->data[4] & 0xE3U) == FORD_BP_ANGLE_MASK) &&
((msg->data[7] & FORD_BP_VERSION_MASK) == FORD_BP_VERSION) &&
((msg->data[7] >> FORD_BP_CHECKSUM_SHIFT) == checksum);
const int shadow = to_signed((msg->data[5] << 8) | msg->data[6], 16);
const bool resync = (shadow == 0) && !controls_allowed;
if (ford_bp_lka_counter_seen && !resync) {
valid &= counter == ((ford_bp_lka_counter + 1U) % FORD_BP_COUNTER_MODULUS);
valid &= safety_get_ts_elapsed(now, ford_bp_shadow_us) >= 20000U;
}
valid &= SAFETY_ABS(shadow) <= 20000;
if (valid) {
ford_bp_lka_counter = (uint8_t)counter;
ford_bp_lka_counter_seen = true;
ford_bp_shadow_raw = shadow;
ford_bp_shadow_seen = !resync;
ford_bp_shadow_us = now;
} else {
ford_bp_invalidate_shadow();
}
return valid;
}
static bool ford_bp_lateral(const CANPacket_t *msg) {
const bool fd = msg->addr == 0x3D6U;
const unsigned int mode = fd ? ((msg->data[0] >> 4) & 7U) : ((msg->data[4] >> 2) & 7U);
const unsigned int curvature = fd ? ((msg->data[2] << 3) | (msg->data[3] >> 5)) :
((msg->data[0] << 3) | (msg->data[1] >> 5));
const unsigned int rate = fd ? (((unsigned int)msg->data[6] << 3) | (msg->data[7] >> 5)) :
(((msg->data[1] & 31U) << 8) | msg->data[2]);
const unsigned int path_raw = fd ? (((msg->data[3] & 31U) << 6) | (msg->data[4] >> 2)) :
(((unsigned int)msg->data[3] << 3) | (msg->data[4] >> 5));
const unsigned int offset = fd ? (((msg->data[4] & 3U) << 8) | msg->data[5]) :
(((unsigned int)msg->data[5] << 2) | (msg->data[6] >> 6));
const unsigned int precision = fd ? ((msg->data[0] >> 2) & 3U) : (msg->data[4] & 3U);
const unsigned int ramp = fd ? (msg->data[0] & 3U) : ((msg->data[6] >> 4) & 3U);
const bool active = mode == 1U;
const int path = (int)path_raw - 1000;
const uint32_t now = microsecond_timer_get();
bool valid = !relay_malfunction && (msg->bus == 0U) && (GET_LEN(msg) == 8U) && (fd == ford_bp_canfd) && (mode <= 1U) &&
(curvature == 1000U) && (rate == (fd ? 1024U : 4096U)) && (offset == 512U) &&
(precision <= 1U) && (ramp == (active ? 2U : 0U));
const unsigned int counter = (msg->data[7] >> 1) & 15U;
if (fd) {
unsigned int checksum = mode + counter;
const unsigned int fields[4] = {curvature, rate, path_raw, offset};
for (unsigned int i = 0U; i < 4U; i++) { checksum += fields[i] + (fields[i] >> 8); }
valid &= msg->data[1] == (0xFFU - (checksum & 0xFFU));
valid &= ((msg->data[0] & 0x80U) == 0U) && ((msg->data[7] & 1U) == 0U);
if (ford_bp_control_counter_seen && active) { valid &= counter == ((ford_bp_control_counter + 1U) % 16U); }
} else {
valid &= ((msg->data[6] & 0xFU) == 0U) && (msg->data[7] == 0U);
}
const float speed_for_equivalent = SAFETY_MAX(vehicle_speed.min / VEHICLE_SPEED_FACTOR, 0.1F);
const float equivalent = (float)path / (2000.0F * speed_for_equivalent);
// Time-window expiration is independent of packet acceptance: denied floods
// cannot latch the old count forever or erase accepted actuator history.
const uint32_t rt_elapsed = safety_get_ts_elapsed(now, ford_bp_rt_us);
if (rt_elapsed >= FORD_BP_RT_INTERVAL_US) {
ford_bp_rt_msgs = 0U;
ford_bp_rt_msgs_prev = 0U;
ford_bp_rt_us = now;
} else if (rt_elapsed >= (FORD_BP_RT_INTERVAL_US / 2U)) {
ford_bp_rt_msgs_prev = ford_bp_rt_msgs;
ford_bp_rt_msgs = 0U;
ford_bp_rt_us = now;
} else {
// Keep the current history while neither expiration boundary has elapsed.
}
const unsigned int rt_count = ford_bp_rt_msgs + ford_bp_rt_msgs_prev;
valid &= rt_count <= 7U; // Current20Hz curvature RT allowance; accepted frames own this count.
if (active) {
static const struct lookup_t roc = {{10.0F, 15.0F, 25.0F}, {0.0561F, 0.04335F, 0.00918F}};
const float speed_min = SAFETY_MAX(vehicle_speed.min / VEHICLE_SPEED_FACTOR, 0.1F);
const float speed_max = SAFETY_MAX(vehicle_speed.max / VEHICLE_SPEED_FACTOR, 0.1F);
const float delta_float = safety_interpolate(roc, speed_min - 1.0F) * 2000.0F;
const int delta = (int)delta_float + 1;
const float shadow = (float)ford_bp_shadow_raw * 0.000001F;
const float shadow_can = shadow * 50000.0F;
const float path_abs = SAFETY_ABS(path) / 2000.0F;
const float path_curvature_low = path_abs / (speed_max * FORD_BP_GAIN_MAX);
const float path_curvature_high = path_abs / (speed_min * FORD_BP_GAIN_MIN);
const float physical_cap = SAFETY_MIN(FORD_BP_CURVATURE_MAX, FORD_BP_LATERAL_ACCEL / (SAFETY_MAX(speed_max, 1.0F) * SAFETY_MAX(speed_max, 1.0F)));
const float relation_low = SAFETY_ABS(shadow) * speed_min * FORD_BP_GAIN_MIN * 2000.0F;
const float relation_high = SAFETY_ABS(shadow) * speed_max * FORD_BP_GAIN_MAX * 2000.0F;
valid &= lateral_controls_allowed() && controls_allowed && ford_bp_health(now) && ford_bp_shadow_seen &&
(safety_get_ts_elapsed(now, ford_bp_shadow_us) <= FORD_BP_SHADOW_AGE_US) &&
(path >= -1000) && (path <= 1047) && (SAFETY_ABS(path - ford_bp_path_last) <= delta) &&
((path == 0) || ((ford_bp_shadow_raw != 0) && ((path > 0) == (ford_bp_shadow_raw > 0)))) &&
(SAFETY_ABS(path) >= (relation_low - 2.0F)) && (SAFETY_ABS(path) <= (relation_high + 2.0F)) &&
(SAFETY_ABS(shadow) <= (physical_cap + FORD_BP_SHADOW_ROUNDING_MARGIN)) && (path_curvature_high <= (physical_cap + FORD_BP_SHADOW_ROUNDING_MARGIN));
if (speed_max > 10.0F) {
const int measured_min = curvature_state.meas.min - 100;
const int measured_max = curvature_state.meas.max + 100;
const float measured_min_float = (float)measured_min;
const float measured_max_float = (float)measured_max;
valid &= (shadow_can >= measured_min_float) && (shadow_can <= measured_max_float);
// Independent actual-actuator check; an invented shadow cannot launder path angle.
const float signed_low = (path < 0) ? (-path_curvature_high) : path_curvature_low;
const float signed_high = (path < 0) ? (-path_curvature_low) : path_curvature_high;
valid &= ((signed_low * 50000.0F) >= measured_min_float) &&
((signed_high * 50000.0F) <= measured_max_float);
}
const uint32_t elapsed = ford_bp_control_seen ? safety_get_ts_elapsed(now, ford_bp_control_us) : FORD_BP_STEER_PERIOD_US;
const float jerk_speed = SAFETY_MAX(speed_min - 1.0F, 1.0F);
const float jerk_delta = FORD_BP_LATERAL_JERK / (jerk_speed * jerk_speed) *
(SAFETY_MIN(elapsed, FORD_BP_STEER_PERIOD_US) * 0.000001F) * FORD_BP_GAIN_MIN;
valid &= SAFETY_ABS(equivalent - ford_bp_equivalent_last) <= (jerk_delta + FORD_BP_SHADOW_ROUNDING_MARGIN);
if (ford_bp_control_seen) { valid &= elapsed >= 40000U; }
} else {
valid &= path == 0;
}
if (valid) {
ford_bp_rt_msgs += 1U;
ford_bp_equivalent_last = active ? equivalent : 0.0F;
ford_bp_path_last = active ? path : 0;
ford_bp_control_counter = (uint8_t)counter;
ford_bp_control_counter_seen = true;
ford_bp_control_seen = true;
ford_bp_control_us = now;
if (!active) { ford_bp_shadow_seen = false; }
} else {
ford_bp_invalidate_shadow();
}
return valid;
}
@@ -0,0 +1,101 @@
"""Hash-bound upstream angle execution and current-curvature controller oracle.
Only imports are removed from the upstream angle/human module AST; every other
statement and function remains exact. Glue supplies current ABI types, source
fixed defaults and the source's no-op lazy-init/yaw-default adapter. No BluePilot
curvature strategy is loaded. Its diagnostic limiter cannot affect angle output.
"""
import ast
from collections import namedtuple
import hashlib
import json
from pathlib import Path
from types import SimpleNamespace
import numpy as np
from opendbc.car import structs, DT_CTRL
from opendbc.car.ford.values import CAR, CarControllerParams
from opendbc.car.ford.fordcan import CanBus
from opendbc.car.lateral import AngleSteeringLimits, apply_std_steer_angle_limits
from openpilot.selfdrive.modeld.constants import ModelConstants
ROOT = Path(__file__).with_name("reference")
MANIFEST = json.loads((ROOT / "manifest.json").read_text())
def source(name):
raw = (ROOT / (name + ".py.txt")).read_bytes()
if hashlib.sha256(raw).hexdigest() != MANIFEST[name]["sha256"]:
raise AssertionError("Reference source differs from its pinned manifest: " + name)
return ast.parse(raw.decode(), filename=MANIFEST[name]["origin"])
def execute(tree, namespace, *, names=None):
body = []
for node in tree.body:
if isinstance(node, (ast.Import, ast.ImportFrom)):
continue
if names is not None:
assigned = [target.id for target in node.targets if isinstance(target, ast.Name)] if isinstance(node, ast.Assign) else []
if getattr(node, "name", None) not in names and not any(name in names for name in assigned):
continue
body.append(node)
exec(compile(ast.Module(body=body, type_ignores=[]), "<pinned source>", "exec"), namespace)
def angle():
LateralResult = namedtuple("LateralResult", "apply_curvature curvature_rate path_offset path_angle ramp_type precision_type lateralUncertainty")
namespace = {"np": np, "clip": np.clip, "interp": np.interp, "DT_CTRL": DT_CTRL,
"CAR": CAR, "CarControllerParams": CarControllerParams, "ModelConstants": ModelConstants,
"LateralResult": LateralResult, "AngleSteeringLimits": AngleSteeringLimits,
"apply_std_steer_angle_limits": apply_std_steer_angle_limits}
execute(source("human"), namespace)
execute(source("values"), namespace, names={"_BP_ANGLE_RATE_UP", "_BP_ANGLE_RATE_DOWN", "BP_ANGLE_LIMITS"})
execute(source("angle"), namespace)
return namespace["LateralAngleExt"]
def builders():
namespace = {"CanBus": CanBus, "structs": structs}
execute(source("fordcan"), namespace, names={"calculate_lat_ctl2_checksum"})
execute(source("builders"), namespace, names={"create_lka_msg", "create_lat_ctl_msg", "create_lat_ctl2_msg", "_BP_LKA_SHADOW_CURVATURE_SCALE"})
return namespace
def curvature_controller():
# Full exact pre-angle production controller, with unchanged current imports.
namespace = {"__name__": "ford_curvature_pre_angle_reference"}
exec(compile(source("starpilot_curvature_controller"), "<current pre-angle controller>", "exec"), namespace)
return namespace["CarController"]
class Angle:
def __init__(self, identity):
self.controller = angle()()
self.controller.CP = SimpleNamespace(carFingerprint=identity)
self.controller._ensure_lateral_curv_initialized = lambda _cp: None # Exact source guard is a no-op.
self.controller.get_current_curvature = lambda cs: -cs.out.yawRate / max(cs.out.vEgoRaw, .1)
self.controller.path_angle_last = 0.
self.controller.lp = None # Read but unused by the source angle strategy.
self.controller.lane_change_factor_bp = [0., 50.]
self.controller.lane_change_factor_low = 1.
self.controller.model = None
self.controller.update_angle_params(None)
def step(self, inputs):
c = self.controller
c.sm = {"liveDelay": SimpleNamespace(lateralDelay=inputs.lateral_delay)}
c.model = SimpleNamespace(orientationRate=SimpleNamespace(z=list(inputs.yaw_predictions)),
meta=SimpleNamespace(laneChangeState=1 if inputs.lane_change else 0,
laneChangeDirection=inputs.lane_direction)) if inputs.yaw_predictions else None
cc = SimpleNamespace(latActive=inputs.active)
cs = SimpleNamespace(out=SimpleNamespace(vEgoRaw=inputs.speed, yawRate=-inputs.measured_curvature * inputs.speed,
steeringPressed=inputs.steering_pressed, steeringAngleDeg=inputs.steering_angle),
lat_ctl_lim_stat=inputs.limit_status)
return c.update_angle_strategy(cc, cs, SimpleNamespace(curvature=inputs.desired_curvature), c.CP)
def trim():
namespace = {"np": np, "interp": np.interp}
execute(source("bpdev_trim"), namespace)
return namespace["LaneCenterTrim"]
@@ -0,0 +1,577 @@
"""
BluePilot: Ford CAN-FD path-angle–primary lateral control (developer).
Steering intent is c1 from κ → θ. Converts planner/model curvature into ``path_angle`` using
PSCM short lookahead d_ref and y ≈ ½κ x² ⇒ path_angle = ½ κ d_ref (see
``bluepilot/agent_info/20_FORD_PSCM_KNOWLEDGE_PACK.md``). Predicted curvature (modelV2) is
blended with ``actuators.curvature`` per ``FordPathAngleBlendRatio`` (0 = planner only,
1 = model only).
**c0 (path_offset) is always zero on the wire, unconditionally.** Angle mode has no centering
trim -- an earlier port attempt piped a small additive trim onto path_angle through the
curv-mode ``LC_PID_controller``, but it never actually tracked lane center correctly in this
mode and was removed; only the DBC-required zero c0 remains.
**Human-turn override**: while the driver manually turns (same sustained-press + angle criteria
as ``lateral_curv_ext``, via the shared ``HumanTurnDetector``), lateral is forced inactive (mode
0, all-zero signals) instead of winding path_angle into a stale command the PSCM has to reconcile
on release -- on the Mach-E's PSCM that reconciliation cost 2-3 s of dead time before control
resumed. Mode 0 is panda-clean by construction: every ford.h check has a legitimate
!steer_control_enabled branch, so no reset-bypass latch involvement. On release, path_angle ramps
back in from zero through the soft ROC below (no jump seed) -- generous at human-turn speeds, and
admitted by ford.h's path_angle ROC check (2% looser) without any bypass.
"""
import numpy as np
from numpy import clip, interp
from opendbc.car import DT_CTRL
from opendbc.car.lateral import apply_std_steer_angle_limits
from opendbc.car.ford.values import CAR, CarControllerParams
from opendbc.sunnypilot.car.ford.lateral_curv_ext import LateralResult
from opendbc.sunnypilot.car.ford.human_turn import HumanTurnDetector
from opendbc.sunnypilot.car.ford.values_ext import BP_ANGLE_LIMITS
from selfdrive.modeld.constants import ModelConstants
# Hard-coded per-platform gain defaults.
# CAN vehicles (Escape MK4, Bronco Sport, Explorer, Maverick, Edge)
_GAIN_CAN = (1.00, 1.15)
# CAN-FD body-on-frame trucks (F-150, Lightning, Expedition, Ranger)
_GAIN_CANFD_BOF = (0.95, 0.95)
# CAN-FD unibody SUVs (Mustang Mach-E, Escape MK4.5)
_GAIN_CANFD_SUV = (1.00, 1.05)
_CANFD_BOF_CARS = frozenset({
CAR.FORD_F_150_MK14,
CAR.FORD_F_150_LIGHTNING_MK1,
CAR.FORD_EXPEDITION_MK4,
CAR.FORD_RANGER_MK2,
})
_CANFD_SUV_CARS = frozenset({
CAR.FORD_MUSTANG_MACH_E_MK1,
CAR.FORD_ESCAPE_MK4_5,
})
# DBC ``LatCtlPath_An_Actl`` (rad) — panda safety uses the same in ``ford.h``; PSCM enforces in firmware.
FORD_DBC_PATH_ANGLE_MIN = -0.5
FORD_DBC_PATH_ANGLE_MAX = 0.5235
# PSCM d_ref (m) vs speed (m/s) — 6 points; above ~55.6 m/s use plateau + optional cap to 5 m.
_PSCM_DREF_SPEEDS_MS = (0.0, 4.17, 27.78, 41.67, 50.0, 55.56)
_PSCM_DREF_M = (0.5, 0.95, 1.4, 2.075, 2.75, 3.875)
# Default blend ratio validated on F-150 fleet data (0.5s lookup time).
_FORD_PATH_ANGLE_BLEND_RATIO_DEFAULT = 0.50
# Variable lookup time (VLT): curvature_lookup_time adapts to speed and curvature magnitude.
# t_lookup = t_base + t_extra_max × speed_factor(v) × kappa_factor(|κ|)
# t_base = liveDelay.lateralDelay + DT_MDL — always matches the planner's pre-compensation floor.
# Extra lookahead collapses toward zero at high speed (PSCM responds faster)
# and at large curvature (prevents blend importing a "start unwinding" signal too early).
_DT_MDL = 0.05 # model loop period (matches common/realtime.py)
_VLT_T_EXTRA_MAX = 0.10 # max extra lookahead above t_base
_VLT_V_LOW_MS = 25.0 * 0.44704 # 25 mph — full extra lookahead at or below this speed
_VLT_V_HIGH_MS = 55.0 * 0.44704 # 55 mph — no extra lookahead at or above this speed
_VLT_KAPPA_FULL = 0.005 # 1/m — full extra lookahead below this curvature (200m+ radius)
_VLT_KAPPA_TAPER = 0.020 # 1/m — no extra lookahead above this curvature (50m radius)
# Rate cap on path_angle magnitude DECREASE during PSCM LimitReached (rad/call = 0.40 rad/s).
# Both model and planner naturally drop path_angle ~0.36 rad/s at a sharp 90° apex, while the PSCM is
# physically pinned and cannot execute the rapidly falling desired angle. The resulting actual-vs-desired
# gap (up to 47° observed) causes a snap correction the moment the PSCM is released. This cap limits
# the desired-angle drop rate to what the PSCM can reasonably track, at the cost of holding the car
# slightly more in the curve during saturation.
# BluePilot: this strategy runs once per STEER_STEP (CarControllerParams.STEER_STEP=5), i.e. once
# every 5th 100Hz control tick = 20Hz, not every tick. The original 0.004 rad/call value (and its
# "50Hz" comment, corrected above) was authored 2026-05-11 on bp-sid-simple, which had already
# switched STEER_STEP 5->1 (true 100Hz) on 2026-04-22 -- so it was tuned at 100Hz real cadence
# even though its own comment mistakenly said 50Hz. Scaled x5 here to restore the same real-world
# 0.40 rad/s (23 deg/s) unwind rate on this branch's actual 20Hz cadence.
_PSCM_SAT_UNWIND_RATE = 0.02 # rad/call (0.02 * 20Hz = 0.40 rad/s)
# Post-override stall blip. Road test 2026-07-14 (route 886240741b067740/000000bd--feb980680f)
# showed that after driver-touch episodes the Mach-E PSCM keeps reporting InProgress but honors
# path_angle at only ~0.56x (healthy hands-free delivery on the same route: ~0.95 median). The
# current-curvature deviation clip below then pins kappa_cmd at measured + CURVATURE_ERROR, so the
# command can never lead the car enough to overcome the attenuation -- a stall equilibrium the
# driver reads as "not engaging" (wire path_angle flat at ~4 deg for 4.5 s while desired kappa
# climbed to 3x measured, EPS motor current ~0 A). A short mode-0 pulse -- the identical
# panda-clean wire pattern the human-turn override sends, no ford.h involvement -- resets the
# PSCM's authority, after which path_angle ramps back in from zero through the soft ROC.
_STEER_DT = CarControllerParams.STEER_STEP * DT_CTRL # 20 Hz lateral tick (matches human_turn.py)
_STALL_GAP_MIN = 2.0 * CarControllerParams.CURVATURE_ERROR # desired must lead measured by 2x the clip tolerance
_STALL_HOLD_S = 0.5 # accumulated clip-binding time before a pulse fires
_STALL_BLIP_FRAMES = 6 # mode-0 pulse length (6 frames @ 20 Hz = 300 ms; PSCM acked mode 0 in ~150 ms on-road)
_STALL_COOLDOWN_S = 2.0 # re-arm delay after a pulse (release ramp + PSCM response time)
_STALL_MAX_BLIPS = 3 # give up on a stuck episode; devLim telemetry keeps recording the stall
# Proactive hand-off blip: any sustained driver press attenuates the PSCM (route 000000be seg 4:
# 3 s of sub-45-deg circle-exit steering left it at ~0x delivery, and the reactive detector's
# fire-after-the-stall-develops timing meant 2.4 s of dead-straight running into the next curve
# before the pulse landed). Firing the same pulse on the falling edge of a sustained press resets
# the PSCM while the car is straight and the command is small -- a 300 ms lateral gap right at
# hand-off, imperceptible, instead of a missed curve. The reactive detector above stays as backstop.
_PRESS_BLIP_MIN_S = 0.5 # press must last this long before its release earns a pulse
# The pulse releases steering for 300 ms; never fire it in a curve.
_BLIP_MAX_PATH_ANGLE = 0.10 # rad
def pscm_d_ref_m(v_ego_ms: float) -> float:
v = max(float(v_ego_ms), 0.0)
d = float(np.interp(v, _PSCM_DREF_SPEEDS_MS, _PSCM_DREF_M))
if v > _PSCM_DREF_SPEEDS_MS[-1]:
# Doc: d_ref table ends at 3.875 m; contribution saturates for high speed — cap at 5 m.
d = min(5.0, d)
return d
class LateralAngleExt:
def __init__(self, CP=None, CP_SP=None):
# Predicted-curvature blend for path_angle: pred * b + desired * (1-b); b from ``FordPathAngleBlendRatio``
self.path_angle_blend_ratio = _FORD_PATH_ANGLE_BLEND_RATIO_DEFAULT
# Max extra VLT above t_base; from ``FordVLTExtraMax`` param
self.vlt_extra_max = _VLT_T_EXTRA_MAX
# Telemetry: final path_angle (rad) after limits (see bp_card_publisher)
self.bp_path_angle_final = 0.0
# High-speed gain factors: set per-platform via carFingerprint in update_angle_params.
self.path_angle_gain_lowC_highV = 1.0 # dampening at high speed, low curvature
self.path_angle_gain_highC_highV = 1.0 # gain at high speed, high curvature
self.bp_path_angle_gain_lowC_highV = 1.0
self.bp_path_angle_gain_highC_highV = 1.0
# User-tunable "feel" multipliers: read from the angle-tuning Params below.
self.low_speed_curv_factor = 1.0
self.high_speed_curv_factor = 1.0
self.user_dampening_factor = 1.0
self.bp_low_speed_curv_factor = 1.0
self.bp_high_speed_curv_factor = 1.0
# BluePilot: angle mode's own lane-change scaling factor, independent of curvature mode's
# lane_change_factor_high_curv -- angle needs a boost (>1) where curvature needs a cut (<1).
self.lane_change_factor_high_ang = 1.0
# Telemetry: variable curvature lookup time used this frame (s)
self.bp_curvature_lookup_time = _VLT_T_EXTRA_MAX + 0.3725 # warm start at ~0.5s
# BluePilot: error-clipped kappa path_angle was derived from -- carcontroller.py reads this as
# shadow_curvature for ford.h's angle-mode deviation check. Actively consumed, not telemetry.
self.bp_kappa_cmd = 0.0
# BluePilot: rate-limit diagnostics (controllerStateBP)
self.bp_angle_rate_limited = False # path_angle soft-ROC clip actually bit this frame
self.bp_curvature_rate_limited = False # equivalent curvature would be rate-limited by curv-mode logic (sim)
self.bp_curvature_deviation_limited = False # current_curvature error-clip constrained kappa_cmd this frame
self.sim_curvature_last = 0.0 # shadow curvature-mode last for the curvatureRateLimited sim
# Exit detection: track previous desired curvature to sense when planner is actively reducing
self._desired_curvature_last = 0.0
# Human-turn override: while the driver manually turns, lateral is forced inactive (mode 0,
# all-zero signals) instead of winding path_angle into a stale command the PSCM can't cleanly
# reconcile on release (2-3 s re-engage dead time observed on Mach-E). See module docstring.
# Note: in CarController this attribute is shared with LateralCurvExt (same mixin instance) --
# only one lateral strategy runs per frame, so a single detector serves both.
self.human_turn_detector = HumanTurnDetector()
self.angle_human_turn_active = False # read by carcontroller to force mode 0
# Post-override stall blip state (see module constants). angle_stall_blip_active is read by
# carcontroller to force mode 0, exactly like angle_human_turn_active.
self.stall_blip_hold_s = 0.0 # accumulated deviation-clip-binding time toward a pulse
self.stall_blip_frames_left = 0 # remaining pulse frames; > 0 -> mode 0 on the wire
self.stall_blip_cooldown_s = 0.0 # re-arm delay after a pulse
self.stall_blip_count = 0 # pulses fired this stall episode
self.angle_stall_blip_active = False
self.press_timer_s = 0.0 # continuous steeringPressed time, for the hand-off blip
def update_angle_params(self, params):
"""Sets per-platform gain defaults and reads user angle-tuning params."""
self._ensure_lateral_curv_initialized(self.CP)
fp = getattr(self.CP, 'carFingerprint', '')
if fp in _CANFD_BOF_CARS:
low, high = _GAIN_CANFD_BOF
elif fp in _CANFD_SUV_CARS:
low, high = _GAIN_CANFD_SUV
else:
low, high = _GAIN_CAN
self.path_angle_gain_lowC_highV = low
self.path_angle_gain_highC_highV = high
if params is not None and hasattr(params, "get"):
for attr, key, min_value, max_value in (
("low_speed_curv_factor", "FordLowSpeedFactor_ang", 0.5, 1.5),
("high_speed_curv_factor", "FordHighSpeedFactor_ang", 0.5, 1.5),
("user_dampening_factor", "FordHighSpeedDampening_ang", 0.25, 1.25),
):
try:
raw = params.get(key, return_default=True)
if raw is not None and raw != b"":
setattr(self, attr, float(clip(
float(raw.decode("utf-8", errors="replace") if isinstance(raw, bytes) else raw), min_value, max_value)))
except Exception:
pass
try:
raw = params.get("lane_change_factor_high_ang", return_default=True)
if raw is not None and raw != b"":
self.lane_change_factor_high_ang = float(clip(
float(raw.decode("utf-8", errors="replace") if isinstance(raw, bytes) else raw), 0.85, 1.50))
except Exception:
pass
def update_angle_strategy(self, CC, CS, actuators, CP):
"""
Curvature from planner (+ optional predicted blend) → path_angle via ½·κ·d_ref.
c0 (path_offset) is always zero on the wire -- no centering trim in angle mode. c2 and c3 are zero.
Blended κ is not passed through Ford c2 rate / DBC limits (those target the curvature actuator).
"""
self._ensure_lateral_curv_initialized(CP)
v_ego = float(CS.out.vEgoRaw)
d_ref = pscm_d_ref_m(v_ego)
curvature_rate = 0.0
path_offset = 0.0
path_angle = 0.0
ramp_type = 0
lateral_uncertainty = 0.0
precision = 1
if not CC.latActive:
self.path_angle_last = 0.0
self.bp_path_angle_final = 0.0
self.apply_curvature_last = 0.0
self.bp_angle_rate_limited = False
self.bp_curvature_rate_limited = False
self.bp_curvature_deviation_limited = False
self.sim_curvature_last = 0.0
# Publish the shadow curvature from the measured curvature while inactive. LKA keeps
# carrying angle_mode_engaged whenever angle mode is configured (independent of
# latActive), and ford.h latches the shadow from every LKA frame -- so the latched
# value must track reality here, not sit at a stale zero. Otherwise the first enabled
# LMC frame after (re-)engage races LKA's 33Hz latch against LMC's 20Hz enable bit and
# ford.h's deviation check compares a zero shadow against real measured curvature.
# (ford.h skips the check while steer_control_enabled is 0, so the value is free to
# follow the measurement during the inactive period itself.)
self.bp_kappa_cmd = self.get_current_curvature(CS)
self.human_turn_detector.reset()
self.angle_human_turn_active = False
self.stall_blip_hold_s = 0.0
self.stall_blip_frames_left = 0
self.stall_blip_cooldown_s = 0.0
self.stall_blip_count = 0
self.angle_stall_blip_active = False
self.press_timer_s = 0.0
self.precision_type = 1
return LateralResult(
apply_curvature=0.0,
curvature_rate=0.0,
path_offset=0.0,
path_angle=0.0,
ramp_type=0,
precision_type=1,
lateralUncertainty=0.0,
)
# Human-turn override: sustained driver press + large wheel angle → force lateral inactive
# (carcontroller drops mode to 0; all signals are zero on the wire) so path_angle can't wind
# into a stale command while the driver turns. Always on in angle mode (no param gate) -- the
# curv-suffixed human-turn toggle belongs to curvature mode's reset strategy, and the Mach-E
# PSCM re-engage stall this prevents is not something a user should be able to opt out of.
# On release, no jump seed: path_angle_last is 0, so the normal flow below ramps the command
# back in through the soft ROC -- generous at human-turn speeds, no panda bypass involved.
self.angle_human_turn_active = self.human_turn_detector.update(
True, CS.out.steeringPressed, CS.out.steeringAngleDeg)
if self.angle_human_turn_active:
self.path_angle_last = 0.0
self.bp_path_angle_final = 0.0
self.apply_curvature_last = 0.0
self.bp_angle_rate_limited = False
self.bp_curvature_rate_limited = False
self.bp_curvature_deviation_limited = False
self.sim_curvature_last = 0.0
# Truthful shadow during the override (mirrors the inactive path -- see the comment
# there): the driver is steering, so the honest command is the car's actual curvature,
# and the panda-latched shadow stays current for the re-engage frame.
self.bp_kappa_cmd = self.get_current_curvature(CS)
# Keep exit detection current so resume doesn't compare against a stale pre-turn value.
self._desired_curvature_last = float(actuators.curvature)
# A human turn ends any stall episode -- its own mode 0 does the PSCM reset job. That also
# covers the press so far: only press time accumulated AFTER the latch releases should earn
# a hand-off pulse.
self.stall_blip_hold_s = 0.0
self.stall_blip_frames_left = 0
self.stall_blip_cooldown_s = 0.0
self.stall_blip_count = 0
self.angle_stall_blip_active = False
self.press_timer_s = 0.0
self.precision_type = 1
return LateralResult(
apply_curvature=0.0,
curvature_rate=0.0,
path_offset=0.0,
path_angle=0.0,
ramp_type=0,
precision_type=1,
lateralUncertainty=0.0,
)
# Proactive hand-off blip: the falling edge of a sustained press earns an immediate mode-0
# pulse (see _PRESS_BLIP_MIN_S) -- resets the PSCM's press-induced attenuation right at
# hand-off, while the car is straight and the command small, instead of waiting for the
# reactive stall detector below to watch the car miss the next curve first.
if CS.out.steeringPressed:
self.press_timer_s += _STEER_DT
else:
if (self.press_timer_s >= _PRESS_BLIP_MIN_S and self.stall_blip_cooldown_s <= 0.0
and self.stall_blip_frames_left <= 0
and abs(self.path_angle_last) < _BLIP_MAX_PATH_ANGLE):
self.stall_blip_frames_left = _STALL_BLIP_FRAMES
self.press_timer_s = 0.0
# Stall-blip pulse in progress: hold lateral inactive (mode 0, all-zero signals -- the same
# wire pattern as the human-turn override, no ford.h involvement) for _STALL_BLIP_FRAMES so the
# PSCM drops its post-override attenuation, then release; path_angle ramps back in from zero
# through the soft ROC exactly like a human-turn release. Detection lives at the end of the
# normal flow below.
if self.stall_blip_frames_left > 0:
self.stall_blip_frames_left -= 1
self.angle_stall_blip_active = True
self.path_angle_last = 0.0
self.bp_path_angle_final = 0.0
self.apply_curvature_last = 0.0
self.bp_angle_rate_limited = False
self.bp_curvature_rate_limited = False
self.bp_curvature_deviation_limited = False
self.sim_curvature_last = 0.0
# Truthful shadow during the blip (see the inactive-path comment).
self.bp_kappa_cmd = self.get_current_curvature(CS)
self._desired_curvature_last = float(actuators.curvature)
self.precision_type = 1
if self.stall_blip_frames_left <= 0:
self.stall_blip_cooldown_s = _STALL_COOLDOWN_S
return LateralResult(
apply_curvature=0.0,
curvature_rate=0.0,
path_offset=0.0,
path_angle=0.0,
ramp_type=0,
precision_type=1,
lateralUncertainty=0.0,
)
self.angle_stall_blip_active = False
self.precision_type = 1
precision = 1
LP = self.lp
desired_curvature = float(actuators.curvature)
# Variable lookup time: t_base tracks planner pre-compensation; extra tapers on high speed and large curves.
# Cap liveDelay at 0.15s for VLT purposes. liveDelay can calibrate up to ~420ms on some runs, which inflates
# VLT to 0.6s and pushes the model lookahead 5m into the curve. At that depth the model sees full peak
# curvature, kappa_entering stays True, and the exit-biased blend is permanently disabled — causing the car
# to command max path_angle through the entire apex. 0.15s gives t_base ≤ 0.20s and VLT ≤ 0.33s, restoring
# the 2.8m lookahead that kept kappa_entering False at the apex in successful earlier runs.
_t_base = float(clip(self.sm['liveDelay'].lateralDelay, 0.1, 0.15)) + _DT_MDL
_speed_factor = float(interp(v_ego, [_VLT_V_LOW_MS, _VLT_V_HIGH_MS], [1.0, 0.0]))
# Direction-aware kappa factor: on curve ENTRY (model shows more curvature at t_base than planner now),
# keep full lookahead so pre-steering begins early. On exit/apex, taper by magnitude to prevent unwind.
_kappa_at_t_base = 0.0
if self.model is not None and len(self.model.orientationRate.z) >= 17:
_curvatures_ref = np.array(self.model.orientationRate.z) / max(0.01, v_ego)
_kappa_at_t_base = abs(float(interp(_t_base, ModelConstants.T_IDXS, _curvatures_ref)))
_kappa_entering = _kappa_at_t_base > abs(desired_curvature)
if _kappa_entering:
_kappa_factor = 1.0 # curve deepening ahead: full extra lookahead for gradual entry
else:
_kappa_factor = float(interp(abs(desired_curvature), [_VLT_KAPPA_FULL, _VLT_KAPPA_TAPER], [1.0, 0.0]))
curvature_lookup_time = _t_base + self.vlt_extra_max * _speed_factor * _kappa_factor
self.bp_curvature_lookup_time = curvature_lookup_time
predicted_curvature = 0.0
if self.model is not None and len(self.model.orientationRate.z) >= 17:
curvatures = np.array(self.model.orientationRate.z) / max(0.01, v_ego)
predicted_curvature = float(
interp(curvature_lookup_time, ModelConstants.T_IDXS, curvatures)
)
b = float(self.path_angle_blend_ratio)
b = float(clip(b, 0.0, 1.0))
# Exit-biased blend: near the PSCM authority limit or while the planner is actively
# reducing curvature (exit detected), drop model prediction weight from 60% → ~15%.
# This lets the planner's natural unwind dominate instead of being diluted by a model
# prediction that still sees the curve (→ seg-14 slow unwind) or that snaps when its
# lookahead window crosses the curve exit (→ seg-17 snap + reverse PSCM hit).
# Normal gentle curves are unaffected: no PSCM limit, no falling desired → full b=0.60.
_pscm_lim = getattr(CS, 'lat_ctl_lim_stat', 0)
# In angle mode, LatCtlLim_D_Stat (→ lat_ctl_lim_stat) does not fire.
# Previously used angleState.saturated (CtrSat) as a proxy, but CtrSat fires whenever the car
# lags the commanded path_angle by > 2.5° — which happens during any normal curve entry.
# That caused a positive-feedback flat-line: under-steer → CtrSat → path_angle frozen → more under-steer.
# Use DBC-limit proximity instead: only block when path_angle is already near the ±0.5 rad CAN limits,
# which is the only condition where the anti-snap unwind rate cap makes physical sense.
_dbc_sat = (self.path_angle_last >= FORD_DBC_PATH_ANGLE_MAX * 0.90 or
self.path_angle_last <= FORD_DBC_PATH_ANGLE_MIN * 0.90)
_in_hard_sat = _pscm_lim >= 2 or _dbc_sat
# BluePilot: per-call delta threshold. The original 0.002 was authored 2026-05-07 on
# bp-sid-simple (9c3d000fd), which ran STEER_STEP=1 (true 100Hz, switched 2026-04-22) -- so it
# was tuned to trigger on planner unwind faster than 0.2 (1/m)/s. Scaled x5 here to restore
# that same real-world trigger rate on this branch's actual 20Hz cadence; unscaled it fired at
# 0.04 (1/m)/s, collapsing the model blend on mild straightening instead of genuine exits.
# Same bug class and fix as _PSCM_SAT_UNWIND_RATE and _soft_roc above.
_desired_falling = abs(desired_curvature) < abs(self._desired_curvature_last) - 0.010
_on_exit_near_limit = not _kappa_entering and (_pscm_lim >= 1 or _in_hard_sat or _desired_falling)
b_blend = float(clip(b * 0.25, 0.0, 1.0)) if _on_exit_near_limit else b
requested_curvature = predicted_curvature * b_blend + desired_curvature * (1.0 - b_blend)
self._desired_curvature_last = desired_curvature
if self.model is not None:
self.lane_change = self.model.meta.laneChangeState in (1, 2, 3)
else:
self.lane_change = False
lane_change_factor = interp(
v_ego, self.lane_change_factor_bp, [self.lane_change_factor_low, self.lane_change_factor_high_ang]
)
if self.lane_change and self.model is not None:
if self.model.meta.laneChangeDirection == 1 and requested_curvature < 0:
requested_curvature *= lane_change_factor
precision = 0
elif self.model.meta.laneChangeDirection == 2 and requested_curvature > 0:
requested_curvature *= lane_change_factor
precision = 0
self.precision_type = precision
# Use planner / predicted κ directly for the κ → path_angle map; we are not sending κ on CAN.
kappa_cmd = float(requested_curvature)
# BluePilot: clip kappa_cmd to current_curvature (measured, from yaw rate) +- CURVATURE_ERROR,
# mirroring lateral_curv_ext.py's apply_ford_curvature_limits_ext exactly (same formula, same
# v_ego > 9 gate, same CarControllerParams.CURVATURE_ERROR tolerance). Without this, kappa_cmd
# (and therefore path_angle, and the shadow_curvature sent to ford.h) can legitimately lead the
# measured curvature by more than ford.h's angle-error tolerance during normal curve entry/exit
# -- the shadow-curvature deviation check (ford_shadow_curvature_error_check) would then block
# routinely, not just on genuine pothole/override divergence. Curvature mode has always clipped
# here; this brings angle mode's actual steering intent in line with that proven behavior rather
# than only clipping the value reported to panda (which would make the check a no-op).
current_curvature = self.get_current_curvature(CS)
self.bp_curvature_deviation_limited = False
if v_ego > 9:
_kappa_cmd_pre_error_clip = kappa_cmd
kappa_cmd = float(clip(kappa_cmd, current_curvature - CarControllerParams.CURVATURE_ERROR,
current_curvature + CarControllerParams.CURVATURE_ERROR))
# BluePilot: did this clip actually constrain kappa_cmd this frame (deviation from measured,
# not rate-of-change -- see carcontroller.py)?
self.bp_curvature_deviation_limited = bool(abs(kappa_cmd - _kappa_cmd_pre_error_clip) > 1e-9)
lateral_uncertainty = 0.0 # no curvature-limit ladder until angle-mode torque display is defined
# Speed-interpolated gain: at low speed both curves use 1.0; at high speed the params take effect.
self.low_gain_calc = interp(
v_ego, [13.5, 26.82], [1.0, (self.path_angle_gain_lowC_highV * self.user_dampening_factor)]
)
self.high_gain_calc = interp(v_ego, [13.5, 26.82], [(1.30 * self.low_speed_curv_factor), (self.path_angle_gain_highC_highV * self.high_speed_curv_factor)])
# As the curve gets bigger, we will need a little boost to the signal to to not understeer
self.curvature_factor = interp(abs(kappa_cmd), [0.0007, 0.001], [self.low_gain_calc, self.high_gain_calc])
path_angle_calc = kappa_cmd * v_ego * self.curvature_factor
path_angle = path_angle_calc
# PSCM authority limit clamp.
# On CANFD Fords in angle mode, LatCtlLim_D_Stat does not fire, so _pscm_lim stays 0.
# _in_hard_sat (computed above) combines _pscm_lim >= 2 with _dbc_sat (path_angle near ±0.5 rad limit).
# LimitClose (_pscm_lim >= 1 only): block magnitude increases — exit-biased blend provides unwind.
# Hard saturation (_in_hard_sat): block increases AND rate-limit decreases to _PSCM_SAT_UNWIND_RATE.
# Without the decrease cap, model+planner drop path_angle at ~0.36 rad/s at a sharp apex,
# driving desired steering 30°+ ahead of actual while the PSCM is pinned, causing a snap when released.
if _in_hard_sat:
_last = self.path_angle_last
_last_mag = abs(_last)
_curr_mag = abs(path_angle)
if _curr_mag > _last_mag: # magnitude growing — block
path_angle = _last
elif _last_mag - _curr_mag > _PSCM_SAT_UNWIND_RATE: # decreasing too fast — rate-limit
_limited_mag = _last_mag - _PSCM_SAT_UNWIND_RATE
path_angle = float(_limited_mag if _last >= 0 else -_limited_mag)
elif _pscm_lim >= 1: # LimitClose (F150/non-angle-mode only): block increases only
path_angle = float(clip(path_angle, -abs(self.path_angle_last), abs(self.path_angle_last)))
path_angle = min(FORD_DBC_PATH_ANGLE_MAX, max(FORD_DBC_PATH_ANGLE_MIN, path_angle))
# Soft ROC limit — unconditional, slightly tighter than ford.h, applied before the
# hardware bypass in ford.h is re-enabled. Lets us observe whether the limit would
# suppress control and tune it, while the PSCM still receives the clipped value.
# BluePilot: this strategy runs once per STEER_STEP (CarControllerParams.STEER_STEP=5), i.e.
# once every 5th 100Hz control tick = 20Hz, not every tick -- ported "verbatim from bp-sid-simple"
# (2026-06-13), which runs STEER_STEP=1 (true 100Hz, switched 2026-04-22). The y-values below are
# scaled x5 from the original [0.011, 0.011, 0.0085, 0.0018] to restore the same real-world rate
# (63/63/49/10 deg/s at v=9-10/15/25) on this branch's actual 20Hz cadence. See ford.h's
# FORD_PATH_ANGLE_LIMITS, which must mirror this scaling (x1.02 looser) to stay a true backstop.
_soft_roc = float(interp(v_ego, [9., 10., 15., 25.], [0.055, 0.055, 0.0425, 0.009]))
_path_angle_pre_roc = path_angle
path_angle = float(clip(path_angle,
self.path_angle_last - _soft_roc,
self.path_angle_last + _soft_roc))
# BluePilot: did the soft ROC clip actually limit the path_angle we wanted to send this frame?
self.bp_angle_rate_limited = bool(abs(path_angle - _path_angle_pre_roc) > 1e-9)
# c0 always zero -- no centering trim in angle mode.
path_offset = 0.0
# Telemetry / state
self.bp_path_angle_gain_lowC_highV = self.path_angle_gain_lowC_highV
self.bp_path_angle_gain_highC_highV = self.path_angle_gain_highC_highV
self.bp_low_speed_curv_factor = self.low_speed_curv_factor
self.bp_high_speed_curv_factor = self.high_speed_curv_factor
self.path_angle_last = path_angle
self.bp_path_angle_final = path_angle
self.apply_curvature_last = 0.0
# BluePilot: the error-clipped kappa path_angle was derived from -- carcontroller.py reads this
# as shadow_curvature for ford.h's angle-mode deviation check (see fordcan_ext.create_lka_msg).
# Not just telemetry: an actively-consumed value, unlike the removed *_kappa_cmd_raw stubs.
# While the driver is pressing (before the human-turn override latches), the clipped planner
# kappa can't follow the wheel: the driver moves the measured curvature faster than the
# deviation clip tracks it, so the shadow can exit ford.h's error band mid-curve -- the one
# in-drive lateral safety block observed across ~3h of replayed road-test routes was exactly
# this (driver fighting a sustained curve with the mode still enabled). The honest command
# during a press is the driver's actual curvature.
self.bp_kappa_cmd = self.get_current_curvature(CS) if CS.out.steeringPressed else kappa_cmd
# BluePilot: would the equivalent curvature (kappa_cmd) have been rate-limited by curvature-mode's
# ROC (apply_std_steer_angle_limits)? kappa_cmd is already error-clipped above (same clip
# curvature mode applies), so only the rate-of-change portion remains to simulate here.
_equiv_curv_rl = apply_std_steer_angle_limits(kappa_cmd, self.sim_curvature_last, v_ego,
CS.out.steeringAngleDeg, CC.latActive, BP_ANGLE_LIMITS)
self.bp_curvature_rate_limited = bool(abs(_equiv_curv_rl - kappa_cmd) > 1e-9)
self.sim_curvature_last = float(_equiv_curv_rl)
# Post-override stall detection (mechanism in the module constants' comment). Fires the mode-0
# blip when, hands-free, desired curvature has led measured by more than 2x the deviation
# clip's tolerance while the clip was actually binding for _STALL_HOLD_S accumulated seconds.
# devLim flickers mid-stall (~63% duty on the diagnosis route), so off frames hold the
# accumulator rather than resetting it; a closed gap or driver press ends the episode.
self.stall_blip_cooldown_s = max(0.0, self.stall_blip_cooldown_s - _STEER_DT)
_stall_gap = desired_curvature - current_curvature
_stalled = (not CS.out.steeringPressed and not self.lane_change and v_ego > 9.0
and abs(_stall_gap) > _STALL_GAP_MIN
and abs(desired_curvature) > abs(current_curvature))
if _stalled:
if self.bp_curvature_deviation_limited and self.stall_blip_cooldown_s <= 0.0:
self.stall_blip_hold_s += _STEER_DT
if (self.stall_blip_hold_s >= _STALL_HOLD_S and self.stall_blip_count < _STALL_MAX_BLIPS
and abs(self.path_angle_last) < _BLIP_MAX_PATH_ANGLE):
self.stall_blip_frames_left = _STALL_BLIP_FRAMES
self.stall_blip_hold_s = 0.0
self.stall_blip_count += 1
else:
self.stall_blip_hold_s = 0.0
if CS.out.steeringPressed or abs(_stall_gap) < 0.5 * _STALL_GAP_MIN:
self.stall_blip_count = 0 # episode over: the car is tracking again or the driver took it
ramp_type = 2
return LateralResult(
apply_curvature=0.0,
curvature_rate=curvature_rate,
path_offset=path_offset,
path_angle=path_angle,
ramp_type=ramp_type,
precision_type=self.precision_type,
lateralUncertainty=lateral_uncertainty,
)
@@ -0,0 +1,203 @@
"""
BluePilot: angle-mode "advanced lane positioning" -- a curvature-domain trim toward true
lane-line center (plus an optional user left/right bias), for use with path_angle-primary
control (``lateral_angle_ext.py``).
Under curvature-primary control, lane positioning rode on a second DBC signal (path_angle as
a heading trim, c3) layered on top of curvature (c1, the primary). In angle mode, path_angle
IS the primary signal -- there is no separate trim slot on the wire. An earlier attempt ported
the old PID controller as an additive delta on the *final* path_angle value and it never tracked
lane center correctly: path_angle there is a derived quantity (``kappa_cmd * v_ego *
curvature_factor``), so an additive trim in that domain has the wrong (inverted) speed-dependence
for a lane-centering nudge, and it bypasses every limiter angle mode already applies to
``kappa_cmd`` (deviation clip, PSCM-saturation clamp, DBC clip, soft ROC).
This class instead computes a small correction in the **curvature domain**, meant to be added to
``kappa_cmd`` before any of those limiters run -- so the correction automatically inherits all of
them, with no new safety-relevant code path. This mirrors where a GM-focused fork (StarPilot,
u/jc01rho -- ``selfdrive/controls/lib/drive_helpers.py::LaneCenteringController`` on
``feat/lane-centering-camera-offset``) places their own lane-centering trim: on the universal
``desired_curvature`` signal, upstream of any car-specific actuator conversion. The geometry here
(``raw_correction = 2*error / lookahead**2``) is the same ``y ~= 1/2 * kappa * x**2`` relation
BluePilot already uses for PSCM d_ref / path_angle elsewhere in this package, solved for the
curvature that would eliminate a lateral position error at the lookahead distance.
**Model-position fallback (blend, not hard gate)**: mirrors ``lateral_curv_ext.py``'s
``path_offset`` blend of ``path_offset_position`` (the model's own predicted path -- a "no
correction" baseline) vs. ``path_offset_lanelines`` (the geometric lane center), weighted by a
laneline confidence score. The *target* we correct toward is that same blend here, so:
- Good lane lines (confidence -> 1): target -> lane-line center + offset (full centering + bias).
- No/poor lane lines (confidence -> 0): target -> the model's own current path + offset, i.e. the
correction reduces to *just* the user's left/right bias riding on top of whatever the model
already wants to do -- it never goes to zero just because lane lines dropped out. This is the
case that matters on center-stripe-only roads with a curbed edge: there's no reliable lane line
to center between, but the user's bias should still nudge the car off the curb.
Confidence uses the exact formula and breakpoints ``lateral_curv_ext.py`` already uses for
``laneline_confidence`` / ``min_laneline_confidence_bp`` (smooth width-tolerance + laneline probs,
not a hard cutoff) -- reusing an already-tuned, production formula instead of inventing a second one.
"""
import numpy as np
from numpy import interp
# Laneline confidence blend -- ported verbatim from lateral_curv_ext.py's path_offset blend
# (laneline_width_tolerance / min_laneline_confidence_bp) so both control schemes agree on what
# "good lane lines" means.
_WIDTH_TOLERANCE_BP = (2.4, 2.8, 3.75, 4.25) # m - the floor is added from StarPilot
_WIDTH_TOLERANCE_V = (0.0, 0.81, 0.81, 0.59) # Adds StarPilot's low edge
_STD_TOLERANCE_BP = (0.3, 0.5) #0.3 is from StarPilot to define bad references
_STD_TOLERANCE_V = (0.81, 0.0) #0.81 is a known good value and allows it to fade to zero as std increases
_CONFIDENCE_BP = (0.6, 0.8)
_CONFIDENCE_V = (0.0, 1.0)
# Speed ramp: reuses curvature-mode's already-tuned centering-authority envelope
# (LC_PID_speed_bp/v in lateral_curv_ext.py) instead of inventing a new one.
_SPEED_RAMP_BP = (0.0, 9.0, 15.0) # m/s
_SPEED_RAMP_V = (0.0, 0.0, 1.0)
# Lookahead distance for the position-error sample, clipped to a sane range (m).
_LOOKAHEAD_MIN_M = 8.0
_LOOKAHEAD_MAX_M = 35.0
# Hard safety ceiling on the raw correction magnitude (1/m) -- fixed, not a "feel" knob, same
# treatment as _PSCM_SAT_UNWIND_RATE / _soft_roc in lateral_angle_ext.py.
_MAX_RAW_CORRECTION = 0.004
# First-order smoothing time constant (s) -- avoids abrupt jumps in the trim.
_SMOOTH_TAU_S = 0.4
# Rate-of-change limit on the applied correction (1/m per 20 Hz tick), independent of the
# smoothing filter above. The filter alone still has its *fastest* slew immediately after a
# target jump -- its per-tick step is proportional to how far the target moved, so a large,
# sudden confidence swing (e.g. crossing into/out of a too-wide merge lane, or lane lines
# dropping out entirely while the model's own path and the laneline center disagree) can still
# produce a big single-tick correction change even though it's technically "smoothed". This caps
# that step explicitly, the same way path_angle's own soft ROC (lateral_angle_ext.py) and
# curvature mode's LC_path_angle_ROC (lateral_curv_ext.py) rate-limit their outputs. At this
# rate, crossing the full -_MAX_RAW_CORRECTION..+_MAX_RAW_CORRECTION span takes ~2.7s; a more
# typical confidence-transition jump (a fraction of that) resolves proportionally faster.
_CORRECTION_ROC_PER_TICK = 0.00015
class LaneCenterTrim:
def __init__(self):
self._correction = 0.0
def reset(self) -> None:
self._correction = 0.0
def update(self, kappa_cmd: float, model, v_ego: float, enabled: bool, offset: float,
gain: float, lat_active: bool, lane_change: bool) -> float:
"""Returns ``kappa_cmd``, nudged toward (lane-blend target + ``offset``) when active.
``offset`` (m): positive shifts the target right, negative left (same sign convention as
curvature mode's ``custom_path_offset_curv``). Applied whether or not lane lines are usable
-- see module docstring.
``gain`` (0.0-1.0): user-tunable authority -- how much of the (already magnitude-clipped)
raw correction is actually applied. 0 disables the trim's effect without disabling detection.
The applied correction is both exponentially smoothed (_SMOOTH_TAU_S) and rate-limited
(_CORRECTION_ROC_PER_TICK) -- see the constants above -- so a lane-line-confidence
transition (e.g. a merge lane too wide to be trusted, then narrowing back into range) eases
into its new target instead of snapping.
"""
if not enabled or not lat_active or lane_change or model is None:
self.reset()
return kappa_cmd
speed_factor = float(interp(v_ego, _SPEED_RAMP_BP, _SPEED_RAMP_V))
if speed_factor <= 0.0:
self.reset()
return kappa_cmd
if not (np.isfinite(offset) and np.isfinite(gain)): #stops not a number from getting to steering command; validation of number
self.reset()
return kappa_cmd
valid, raw = self._raw_correction(model, v_ego, offset)
if not valid:
# Only true failure case now: model.position itself is unusable, so there's no baseline
# to offset from at all (see _raw_correction). Lane-line-only failures fall back to the
# model-position blend instead of landing here.
self.reset()
return kappa_cmd
target = float(np.clip(raw, -_MAX_RAW_CORRECTION, _MAX_RAW_CORRECTION)) * float(np.clip(gain, 0.0, 1.0)) * speed_factor
alpha = 1.0 - np.exp(-0.05 / _SMOOTH_TAU_S) # BluePilot lateral tick is 20 Hz (dt=0.05s)
filtered = float(alpha * target + (1.0 - alpha) * self._correction)
# Rate-of-change limit -- see _CORRECTION_ROC_PER_TICK. Bounds the correction's own per-tick
# delta on top of the exponential filter above, so a lane-line-confidence transition can't
# snap the trim toward its new target in one or two frames.
self._correction = float(np.clip(filtered, self._correction - _CORRECTION_ROC_PER_TICK,
self._correction + _CORRECTION_ROC_PER_TICK))
return kappa_cmd + self._correction
@property
def correction(self) -> float:
"""Telemetry: last applied correction (1/m)."""
return self._correction
def _raw_correction(self, model, v_ego: float, offset: float) -> tuple[bool, float]:
try:
pos_x = np.asarray(model.position.x, dtype=float)
pos_y = np.asarray(model.position.y, dtype=float)
if pos_x.size < 2 or pos_x.size != pos_y.size:
return False, 0.0
if not (np.isfinite(pos_x).all() and np.isfinite(pos_y).all() and np.all(np.diff(pos_x) > 0)):
return False, 0.0
lookahead = float(np.clip(v_ego, _LOOKAHEAD_MIN_M, _LOOKAHEAD_MAX_M))
model_y = float(np.interp(lookahead, pos_x, pos_y))
except (AttributeError, IndexError, TypeError, ValueError):
return False, 0.0
# Laneline contribution, blended in by confidence. scale=0 (model-position-only, i.e. just
# the user's offset bias) whenever lines are missing, low-confidence, or structurally bad --
# see _laneline_blend for the confidence formula (ported from lateral_curv_ext.py).
scale, laneline_center_y = self._laneline_blend(model, lookahead)
target_y = model_y * (1.0 - scale) + laneline_center_y * scale
error = (target_y + offset) - model_y
raw = 2.0 * error / (lookahead ** 2)
return True, float(raw)
def _laneline_blend(self, model, lookahead: float) -> tuple[float, float]:
"""Returns (scale, laneline_center_y). scale=0 whenever lanelines can't be trusted (missing,
low-probability, structurally invalid) -- center_y is unused/meaningless in that case since
it's weighted out by scale in the caller's blend."""
try:
lane_lines = model.laneLines
probs = model.laneLineProbs
stds = model.laneLineStds # a line could exist but this verifies how sure it is of where it is
if len(lane_lines) < 3 or len(probs) < 3 or len(stds) < 3:
return 0.0, 0.0
left_x = np.asarray(lane_lines[1].x, dtype=float)
left_y = np.asarray(lane_lines[1].y, dtype=float)
right_x = np.asarray(lane_lines[2].x, dtype=float)
right_y = np.asarray(lane_lines[2].y, dtype=float)
if (left_x.size < 2 or left_x.size != left_y.size or
right_x.size < 2 or right_x.size != right_y.size):
return 0.0, 0.0
if not (np.isfinite(left_x).all() and np.isfinite(left_y).all() and
np.isfinite(right_x).all() and np.isfinite(right_y).all()):
return 0.0, 0.0
if not (np.all(np.diff(left_x) > 0) and np.all(np.diff(right_x) > 0)):
return 0.0, 0.0
left = float(np.interp(lookahead, left_x, left_y))
right = float(np.interp(lookahead, right_x, right_y))
width = right - left
# Same confidence formula as lateral_curv_ext.py's path_offset blend: width-tolerance
# (penalizes implausibly wide/merging-looking detections) combined with per-line
# probability via min() -- a single missing/unreliable line (e.g. no line on the curb
# side, only a center stripe) drags confidence toward 0 on its own.
width_tolerance = float(np.interp(width, _WIDTH_TOLERANCE_BP, _WIDTH_TOLERANCE_V))
std_tolerance = float(np.interp(max(float(stds[1]), float(stds[2])), _STD_TOLERANCE_BP, _STD_TOLERANCE_V)) #StarPilot stopped at 0.3, this fades the std through the table
confidence = min(float(probs[1]), float(probs[2]), width_tolerance, std_tolerance) #confidence is the weakest signal
scale = float(np.clip(np.interp(confidence, _CONFIDENCE_BP, _CONFIDENCE_V), 0.0, 1.0))
center_y = 0.5 * (left + right)
return scale, center_y
except (AttributeError, IndexError, TypeError, ValueError):
return 0.0, 0.0
@@ -0,0 +1,377 @@
"""
BluePilot Ford CAN message builder extensions.
Provides extended versions of the stock fordcan.py message builders with additional
parameters for BluePilot features:
- Dynamic ramp_type and precision_type for lateral control
- Split brake_actuate / precharge_actuate for smoother deceleration
- BlueCruise cluster HUD status, TJA warnings, and hands-free messaging
- Independent left/right lane line logic for LKAS UI
- ICBM button injection for intelligent cruise button management
Each function mirrors the stock fordcan.py function it replaces, with an extended
parameter list. When stock carcontroller.py is refactored, it will import these
functions instead of the stock versions.
"""
from opendbc.car import structs
from opendbc.car.ford.fordcan import CanBus, calculate_lat_ctl2_checksum
HUDControl = structs.CarControl.HUDControl
_BP_LKA_SHADOW_CURVATURE_SCALE = 1e-6 # 1/meter per raw unit, matches ford.h's decode
def create_lka_msg(packer, CAN: CanBus, lat_active: bool, hud_control,
angle_mode_engaged: bool = False, shadow_curvature: float = 0.0):
"""
Creates a CAN message for the Ford LKA Command.
BluePilot extension: accepts lat_active and hud_control parameters for future
lane departure warning integration (unused so far).
Also carries angle_mode_engaged + shadow_curvature packed into bits with no DBC signal mapped to
them -- confirmed unused (always 0, no cabana signal) on real F-150 dashcam routes. This message
is one openpilot itself originates every cycle, and ford_tx_hook already reads other fields
(LkaActvStats_D2_Req) directly out of these same bytes synchronously, in the same tx_hook call --
no separate CAN ID, no RX round-trip needed (panda does not self-receive its own TX, confirmed
2026-07-09 investigating a controlsMismatch caused by an earlier dedicated-message design).
Byte layout (bits not covered by any Lane_Assist_Data1 DBC signal):
byte 4 bit 0: angle_mode_engaged
byte 4 bits 1-4: reserved (future bools)
byte 5-6: shadow_curvature (int16, scale 1e-6 1/m)
byte 7: reserved (future value)
Must match the decode in ford.h's FORD_Lane_Assist_Data1 tx_hook check exactly.
Frequency is 33Hz.
"""
addr, dat, bus = packer.make_can_msg("Lane_Assist_Data1", CAN.main, {})
dat = bytearray(dat)
shadow_curvature_raw = int(round(shadow_curvature / _BP_LKA_SHADOW_CURVATURE_SCALE))
shadow_curvature_raw = max(-32768, min(32767, shadow_curvature_raw)) & 0xFFFF
dat[4] |= 1 if angle_mode_engaged else 0
dat[5] = (shadow_curvature_raw >> 8) & 0xFF
dat[6] = shadow_curvature_raw & 0xFF
return addr, bytes(dat), bus
def create_lat_ctl_msg(packer, CAN: CanBus, lat_active: bool, ramp_type: int, precision_type: int,
path_offset: float, path_angle: float, curvature: float, curvature_rate: float):
"""
Creates a CAN message for the Ford TJA/LCA Command (non-CAN FD).
BluePilot extension: dynamic ramp_type and precision_type parameters.
Stock hardcodes ramp_type=0 (Slow) and precision_type=1 (Precise).
Ford lane centering uses a third-order polynomial to describe the road centerline:
c0 (path_offset): lateral offset between vehicle and centerline (positive is right)
c1 (path_angle): heading angle between vehicle and centerline (positive is right)
c2 (curvature): curvature of the centerline (positive is left)
c3 (curvature_rate): rate of change of curvature
Frequency is 20Hz.
"""
values = {
"LatCtlRng_L_Max": 0, # Unknown [0|126] meter
"HandsOffCnfm_B_Rq": 0, # Unknown: 0=Inactive, 1=Active [0|1]
"LatCtl_D_Rq": 1 if lat_active else 0, # Mode: 0=None, 1=ContinuousPathFollowing, 2=InterventionLeft,
# 3=InterventionRight, 4-7=NotUsed [0|7]
"LatCtlRampType_D_Rq": ramp_type, # Ramp speed: 0=Slow, 1=Medium, 2=Fast, 3=Immediate [0|3]
"LatCtlPrecision_D_Rq": precision_type, # Precision: 0=Comfortable, 1=Precise, 2/3=NotUsed [0|3]
"LatCtlPathOffst_L_Actl": path_offset, # Path offset [-5.12|5.11] meter
"LatCtlPath_An_Actl": path_angle, # Path angle [-0.5|0.5235] radians
"LatCtlCurv_NoRate_Actl": curvature_rate, # Curvature rate [-0.001024|0.00102375] 1/meter^2
"LatCtlCurv_No_Actl": curvature, # Curvature [-0.02|0.02094] 1/meter
}
return packer.make_can_msg("LateralMotionControl", CAN.main, values)
def create_lat_ctl2_msg(packer, CAN: CanBus, mode: int, ramp_type: int, precision_type: int,
path_offset: float, path_angle: float, curvature: float,
curvature_rate: float, counter: int):
"""
Creates a CAN message for the Ford Lane Centering command (CAN FD).
BluePilot extension: dynamic ramp_type and precision_type parameters.
Stock hardcodes ramp_type=0 (Slow) and precision_type=1 (Precise).
This message replaces LateralMotionControl on CAN FD platforms and includes
counter and checksum fields.
Frequency is 20Hz.
"""
values = {
"LatCtl_D2_Rq": mode, # Mode: 0=None, 1=PathFollowingLimitedMode, 2=PathFollowingExtendedMode,
# 3=SafeRampOut, 4-7=NotUsed [0|7]
"LatCtlRampType_D_Rq": ramp_type, # 0=Slow, 1=Medium, 2=Fast, 3=Immediate [0|3]
"LatCtlPrecision_D_Rq": precision_type, # 0=Comfortable, 1=Precise, 2/3=NotUsed [0|3]
"LatCtlPathOffst_L_Actl": path_offset, # [-5.12|5.11] meter
"LatCtlPath_An_Actl": path_angle, # [-0.5|0.5235] radians
"LatCtlCurv_No_Actl": curvature, # [-0.02|0.02094] 1/meter
"LatCtlCrv_NoRate2_Actl": curvature_rate, # [-0.001024|0.001023] 1/meter^2
"HandsOffCnfm_B_Rq": 0, # 0=Inactive, 1=Active [0|1]
"LatCtlPath_No_Cnt": counter, # [0|15]
"LatCtlPath_No_Cs": 0, # [0|255]
}
# Calculate checksum (reuse stock function)
dat = packer.make_can_msg("LateralMotionControl2", 0, values)[1]
values["LatCtlPath_No_Cs"] = calculate_lat_ctl2_checksum(mode, counter, dat)
return packer.make_can_msg("LateralMotionControl2", CAN.main, values)
def create_acc_msg(packer, CAN: CanBus, long_active: bool, gas: float, accel: float, accel_pred: float,
stopping: bool, brake_actuate: bool, precharge_actuate: bool, v_ego_kph: float):
"""
Creates a CAN message for the Ford ACC Command.
BluePilot extension: split brake control into brake_actuate and precharge_actuate
(each with independent hysteresis thresholds) for smoother deceleration. Also
accepts accel_pred as a parameter instead of hardcoding -5.0.
Precharge engages slightly before full brake for smoother initial decel feel.
Both use configurable hysteresis to avoid binary on/off feel.
Frequency is 50Hz.
"""
values = {
"AccBrkTot_A_Rq": accel, # Brake total accel request: [-20|11.9449] m/s^2
"Cmbb_B_Enbl": 1 if long_active else 0, # Enabled: 0=No, 1=Yes
"AccPrpl_A_Rq": gas, # Acceleration request: [-5|5.23] m/s^2
"AccPrpl_A_Pred": accel_pred, # Predicted accel (from carcontroller, not hardcoded)
"AccResumEnbl_B_Rq": 1 if long_active else 0,
"AccVeh_V_Trg": v_ego_kph, # Target speed: [0|255] km/h
"AccBrkPrchg_B_Rq": 1 if precharge_actuate else 0, # Pre-charge brake request (independent hysteresis)
"AccBrkDecel_B_Rq": 1 if brake_actuate else 0, # Deceleration request (independent hysteresis)
"AccStopStat_B_Rq": 1 if stopping else 0,
}
return packer.make_can_msg("ACCDATA", CAN.main, values)
def create_acc_ui_msg(packer, CAN: CanBus, CP, main_on: bool, enabled: bool, fcw_alert: bool,
standstill: bool, hud_control, stock_values: dict, send_hands_free_msg: bool,
send_ui: bool, send_bars: bool, tja_warn: int, tja_msg: int):
"""
Creates a CAN message for the Ford IPC adaptive cruise, FCW and TJA status.
BluePilot extension: replaces stock show_distance_bars with explicit send_ui,
send_bars, and TJA parameters. Adds BlueCruise status 7 for hands-free cluster
UI. TJA warn/msg are set from DM state computation rather than stock passthrough.
Stock functionality is maintained by passing through unmodified signals.
Frequency is 5Hz.
"""
# Tja_D_Stat: TJA status for cluster display
if enabled:
if hud_control.leftLaneDepart:
status = 3 # ActiveInterventionLeft
elif hud_control.rightLaneDepart:
status = 4 # ActiveInterventionRight
elif send_hands_free_msg:
status = 7 # BlueCruise UI in the cluster
else:
status = 2 # Active
elif main_on:
if hud_control.leftLaneDepart:
status = 5 # ActiveWarningLeft
elif hud_control.rightLaneDepart:
status = 6 # ActiveWarningRight
else:
status = 1 # Standby
elif standstill:
status = 0 # Off
else:
status = 1 # Standby
values = {s: stock_values[s] for s in [
"HaDsply_No_Cs",
"HaDsply_No_Cnt",
"AccStopStat_D_Dsply", # ACC stopped status message
"AccTrgDist2_D_Dsply", # ACC target distance
"AccStopRes_B_Dsply",
# TjaWarn_D_Rq and TjaMsgTxt_D_Dsply are set explicitly below, not passed through
"IaccLamp_D_Rq", # iACC status icon
"AccMsgTxt_D2_Rq", # ACC text
"FcwDeny_B_Dsply", # FCW disabled
"FcwMemStat_B_Actl", # FCW enabled setting
"AccTGap_B_Dsply", # ACC time gap display setting
"CadsAlignIncplt_B_Actl",
"AccFllwMde_B_Dsply", # ACC follow mode display setting
"CadsRadrBlck_B_Actl",
"CmbbPostEvnt_B_Dsply", # AEB event status
"AccStopMde_B_Dsply", # ACC stop mode display setting
"FcwMemSens_D_Actl", # FCW sensitivity setting
"FcwMsgTxt_D_Rq", # FCW text
"AccWarn_D_Dsply", # ACC warning
"FcwVisblWarn_B_Rq", # FCW visible alert
"FcwAudioWarn_B_Rq", # FCW audio alert
"AccTGap_D_Dsply", # ACC time gap
"AccMemEnbl_B_RqDrv", # ACC adaptive/normal setting
"FdaMem_B_Stat", # FDA enabled setting
]}
values.update({
"Tja_D_Stat": status, # TJA status
"TjaWarn_D_Rq": tja_warn, # TJA warning (from DM state, not stock passthrough)
"TjaMsgTxt_D_Dsply": tja_msg, # TJA text (from DM state, not stock passthrough)
})
if CP.openpilotLongitudinalControl:
values.update({
"AccStopStat_D_Dsply": 2 if standstill else 0, # Stopping status text
"AccMsgTxt_D2_Rq": 0, # ACC text
"AccTGap_B_Dsply": 1 if send_bars else 0, # Show time gap control UI
"AccFllwMde_B_Dsply": 1 if hud_control.leadVisible else 0, # Lead indicator
"AccStopMde_B_Dsply": 1 if standstill else 0,
"AccWarn_D_Dsply": 0, # ACC warning
"AccTGap_D_Dsply": hud_control.leadDistanceBars, # Time gap
})
# Forward FCW alert from IPMA
if fcw_alert:
values["FcwVisblWarn_B_Rq"] = 1 # FCW visible alert
values["FcwAudioWarn_B_Rq"] = 1 # FCW audio alert
return packer.make_can_msg("ACCDATA_3", CAN.main, values)
def create_lkas_ui_msg(packer, CAN: CanBus, main_on: bool, enabled: bool, hands: int,
hud_control, stock_values: dict):
"""
Creates a CAN message for the Ford IPC IPMA/LKAS status.
BluePilot extension: replaces stock steer_alert bool with hands int (0-3),
and uses independent left/right lane line status logic.
hands values:
0 = HandsOn
1 = Level1 (warning without chime)
2 = Level2 (warning with chime)
3 = Suppressed
LaActvStats_D_Dsply value table (left \\ right):
Right → | Intervene | Warning | Suppress | Available | None
Intervene | 24 | 19 | 14 | 9 | 4
Warning | 23 | 18 | 13 | 8 | 3
Suppress | 22 | 17 | 12 | 7 | 2
Available | 21 | 16 | 11 | 6 | 1
None | 20 | 15 | 10 | 5 | 0
Stock functionality is maintained by passing through unmodified signals.
Frequency is 1Hz.
"""
lines = 0
if hud_control is not None:
# Determine left lane status independently
if hud_control.leftLaneDepart:
left_status = 4 # Intervene (Yellow)
elif hud_control.leftLaneVisible:
left_status = 1 # Available
else:
left_status = 2 # Suppress
# Determine right lane status independently
if hud_control.rightLaneDepart:
right_status = 20 # Intervene (Yellow)
elif hud_control.rightLaneVisible:
right_status = 5 # Available
else:
right_status = 10 # Suppress
# Combine left and right lane status
lines = left_status + right_status
values = {s: stock_values[s] for s in [
"FeatConfigIpmaActl",
"FeatNoIpmaActl",
"PersIndexIpma_D_Actl",
"AhbcRampingV_D_Rq", # AHB ramping
"LaDenyStats_B_Dsply", # LKAS error
"CamraDefog_B_Req", # Windshield heater?
"CamraStats_D_Dsply", # Camera status
"DasAlrtLvl_D_Dsply", # DAS alert level
"DasStats_D_Dsply", # DAS status
"DasWarn_D_Dsply", # DAS warning
"AhbHiBeam_D_Rq", # AHB status
"Passthru_63",
"Passthru_48",
]}
values.update({
"LaActvStats_D_Dsply": lines, # LKAS status (lane lines) [0|31]
"LaHandsOff_D_Dsply": hands, # 0=HandsOn, 1=Level1 (w/o chime), 2=Level2 (w/ chime), 3=Suppressed
})
return packer.make_can_msg("IPMA_Data", CAN.main, values)
def create_button_msg(packer, bus: int, stock_values: dict, cancel=False, resume=False,
tja_toggle=False, icbm_button=None):
"""
Creates a CAN message for the Ford SCCM buttons/switches.
BluePilot extension: adds icbm_button parameter for Intelligent Cruise Button
Management. When set, the specified CAN signal is set to 1 in the outgoing
message, enabling openpilot to emulate cruise button presses for speed adjustment.
Args:
icbm_button: Optional string signal name (e.g., "CcAslButtnSetIncPress",
"CcAslButtnSetDecPress") for ICBM button injection.
Frequency is 10Hz.
"""
values = {s: stock_values[s] for s in [
"HeadLghtHiFlash_D_Stat", # SCCM Passthrough the remaining buttons
"TurnLghtSwtch_D_Stat", # SCCM Turn signal switch
"WiprFront_D_Stat",
"LghtAmb_D_Sns",
"AccButtnGapDecPress",
"AccButtnGapIncPress",
"AslButtnOnOffCnclPress",
"AslButtnOnOffPress",
"LaSwtchPos_D_Stat",
"CcAslButtnCnclResPress",
"CcAslButtnDeny_B_Actl",
"CcAslButtnIndxDecPress",
"CcAslButtnIndxIncPress",
"CcAslButtnOffCnclPress",
"CcAslButtnOnOffCncl",
"CcAslButtnOnPress",
"CcAslButtnResDecPress",
"CcAslButtnResIncPress",
"CcAslButtnSetDecPress",
"CcAslButtnSetIncPress",
"CcAslButtnSetPress",
"CcButtnOffPress",
"CcButtnOnOffCnclPress",
"CcButtnOnOffPress",
"CcButtnOnPress",
"HeadLghtHiFlash_D_Actl",
"HeadLghtHiOn_B_StatAhb",
"AhbStat_B_Dsply",
"AccButtnGapTogglePress",
"WiprFrontSwtch_D_Stat",
"HeadLghtHiCtrl_D_RqAhb",
]}
values.update({
"CcAslButtnCnclPress": 1 if cancel else 0, # CC cancel button
"CcAsllButtnResPress": 1 if resume else 0, # CC resume button
"TjaButtnOnOffPress": 1 if tja_toggle else 0, # LCA/TJA toggle button
})
# ICBM button support — set the specified button signal to 1
if icbm_button is not None:
values[icbm_button] = 1
return packer.make_can_msg("Steering_Data_FD1", bus, values)
@@ -0,0 +1,342 @@
from opendbc.car import CanBusBase, structs
HUDControl = structs.CarControl.HUDControl
class CanBus(CanBusBase):
def __init__(self, CP=None, fingerprint=None) -> None:
super().__init__(CP, fingerprint)
@property
def main(self) -> int:
return self.offset
@property
def radar(self) -> int:
return self.offset + 1
@property
def camera(self) -> int:
return self.offset + 2
def calculate_lat_ctl2_checksum(mode: int, counter: int, dat: bytearray) -> int:
curvature = (dat[2] << 3) | ((dat[3]) >> 5)
curvature_rate = (dat[6] << 3) | ((dat[7]) >> 5)
path_angle = ((dat[3] & 0x1F) << 6) | ((dat[4]) >> 2)
path_offset = ((dat[4] & 0x3) << 8) | dat[5]
checksum = mode + counter
for sig_val in (curvature, curvature_rate, path_angle, path_offset):
checksum += sig_val + (sig_val >> 8)
return 0xFF - (checksum & 0xFF)
def create_lka_msg(packer, CAN: CanBus):
"""
Creates an empty CAN message for the Ford LKA Command.
This command can apply "Lane Keeping Aid" maneuvers, which are subject to the PSCM lockout.
Frequency is 33Hz.
"""
return packer.make_can_msg("Lane_Assist_Data1", CAN.main, {})
def create_lat_ctl_msg(packer, CAN: CanBus, lat_active: bool, path_offset: float, path_angle: float, curvature: float,
curvature_rate: float):
"""
Creates a CAN message for the Ford TJA/LCA Command.
This command can apply "Lane Centering" maneuvers: continuous lane centering for traffic jam assist and highway
driving. It is not subject to the PSCM lockout.
Ford lane centering command uses a third order polynomial to describe the road centerline. The polynomial is defined
by the following coefficients:
c0: lateral offset between the vehicle and the centerline (positive is right)
c1: heading angle between the vehicle and the centerline (positive is right)
c2: curvature of the centerline (positive is left)
c3: rate of change of curvature of the centerline
As the PSCM combines this information with other sensor data, such as the vehicle's yaw rate and speed, the steering
angle cannot be easily controlled.
The PSCM should be configured to accept TJA/LCA commands before these commands will be processed. This can be done
using tools such as Forscan.
Frequency is 20Hz.
"""
values = {
"LatCtlRng_L_Max": 0, # Unknown [0|126] meter
"HandsOffCnfm_B_Rq": 0, # Unknown: 0=Inactive, 1=Active [0|1]
"LatCtl_D_Rq": 1 if lat_active else 0, # Mode: 0=None, 1=ContinuousPathFollowing, 2=InterventionLeft,
# 3=InterventionRight, 4-7=NotUsed [0|7]
"LatCtlRampType_D_Rq": 0, # Ramp speed: 0=Slow, 1=Medium, 2=Fast, 3=Immediate [0|3]
# Makes no difference with curvature control
"LatCtlPrecision_D_Rq": 1, # Precision: 0=Comfortable, 1=Precise, 2/3=NotUsed [0|3]
# The stock system always uses comfortable
"LatCtlPathOffst_L_Actl": path_offset, # Path offset [-5.12|5.11] meter
"LatCtlPath_An_Actl": path_angle, # Path angle [-0.5|0.5235] radians
"LatCtlCurv_NoRate_Actl": curvature_rate, # Curvature rate [-0.001024|0.00102375] 1/meter^2
"LatCtlCurv_No_Actl": curvature, # Curvature [-0.02|0.02094] 1/meter
}
return packer.make_can_msg("LateralMotionControl", CAN.main, values)
def create_lat_ctl2_msg(packer, CAN: CanBus, mode: int, path_offset: float, path_angle: float, curvature: float,
curvature_rate: float, counter: int):
"""
Create a CAN message for the new Ford Lane Centering command.
This message is used on the CAN FD platform and replaces the old LateralMotionControl message. It is similar but has
additional signals for a counter and checksum.
Frequency is 20Hz.
"""
values = {
"LatCtl_D2_Rq": mode, # Mode: 0=None, 1=PathFollowingLimitedMode, 2=PathFollowingExtendedMode,
# 3=SafeRampOut, 4-7=NotUsed [0|7]
"LatCtlRampType_D_Rq": 0, # 0=Slow, 1=Medium, 2=Fast, 3=Immediate [0|3]
"LatCtlPrecision_D_Rq": 1, # 0=Comfortable, 1=Precise, 2/3=NotUsed [0|3]
"LatCtlPathOffst_L_Actl": path_offset, # [-5.12|5.11] meter
"LatCtlPath_An_Actl": path_angle, # [-0.5|0.5235] radians
"LatCtlCurv_No_Actl": curvature, # [-0.02|0.02094] 1/meter
"LatCtlCrv_NoRate2_Actl": curvature_rate, # [-0.001024|0.001023] 1/meter^2
"HandsOffCnfm_B_Rq": 0, # 0=Inactive, 1=Active [0|1]
"LatCtlPath_No_Cnt": counter, # [0|15]
"LatCtlPath_No_Cs": 0, # [0|255]
}
# calculate checksum
dat = packer.make_can_msg("LateralMotionControl2", 0, values)[1]
values["LatCtlPath_No_Cs"] = calculate_lat_ctl2_checksum(mode, counter, dat)
return packer.make_can_msg("LateralMotionControl2", CAN.main, values)
def create_acc_msg(packer, CAN: CanBus, long_active: bool, gas: float, accel: float, stopping: bool, brake_request, v_ego_kph: float):
"""
Creates a CAN message for the Ford ACC Command.
This command can be used to enable ACC, to set the ACC gas/brake/decel values
and to disable ACC.
Frequency is 50Hz.
"""
values = {
"AccBrkTot_A_Rq": accel, # Brake total accel request: [-20|11.9449] m/s^2
"Cmbb_B_Enbl": 1 if long_active else 0, # Enabled: 0=No, 1=Yes
"AccPrpl_A_Rq": gas, # Acceleration request: [-5|5.23] m/s^2
# No observed acceleration seen from this signal alone. During stock system operation, it appears to
# be the raw acceleration request (AccPrpl_A_Rq when positive, AccBrkTot_A_Rq when negative)
"AccPrpl_A_Pred": -5.0, # Acceleration request: [-5|5.23] m/s^2
"AccResumEnbl_B_Rq": 1 if long_active else 0,
# No observed acceleration seen from this signal alone
"AccVeh_V_Trg": v_ego_kph, # Target speed: [0|255] km/h
# TODO: we may be able to improve braking response by utilizing pre-charging better
# When setting these two bits without AccBrkTot_A_Rq, an initial jerk is observed and car may be able to brake temporarily with AccPrpl_A_Rq
"AccBrkPrchg_B_Rq": 1 if brake_request else 0, # Pre-charge brake request: 0=No, 1=Yes
"AccBrkDecel_B_Rq": 1 if brake_request else 0, # Deceleration request: 0=Inactive, 1=Active
"AccStopStat_B_Rq": 1 if stopping else 0,
}
return packer.make_can_msg("ACCDATA", CAN.main, values)
def create_acc_ui_msg(packer, CAN: CanBus, CP, main_on: bool, enabled: bool, fcw_alert: bool, standstill: bool,
show_distance_bars: bool, hud_control, stock_values: dict):
"""
Creates a CAN message for the Ford IPC adaptive cruise, forward collision warning and traffic jam
assist status.
Stock functionality is maintained by passing through unmodified signals.
Frequency is 5Hz.
"""
# Tja_D_Stat
if enabled:
if hud_control.leftLaneDepart:
status = 3 # ActiveInterventionLeft
elif hud_control.rightLaneDepart:
status = 4 # ActiveInterventionRight
else:
status = 2 # Active
elif main_on:
if hud_control.leftLaneDepart:
status = 5 # ActiveWarningLeft
elif hud_control.rightLaneDepart:
status = 6 # ActiveWarningRight
else:
status = 1 # Standby
else:
status = 0 # Off
values = {s: stock_values[s] for s in [
"HaDsply_No_Cs",
"HaDsply_No_Cnt",
"AccStopStat_D_Dsply", # ACC stopped status message
"AccTrgDist2_D_Dsply", # ACC target distance
"AccStopRes_B_Dsply",
"TjaWarn_D_Rq", # TJA warning
"TjaMsgTxt_D_Dsply", # TJA text
"IaccLamp_D_Rq", # iACC status icon
"AccMsgTxt_D2_Rq", # ACC text
"FcwDeny_B_Dsply", # FCW disabled
"FcwMemStat_B_Actl", # FCW enabled setting
"AccTGap_B_Dsply", # ACC time gap display setting
"CadsAlignIncplt_B_Actl",
"AccFllwMde_B_Dsply", # ACC follow mode display setting
"CadsRadrBlck_B_Actl",
"CmbbPostEvnt_B_Dsply", # AEB event status
"AccStopMde_B_Dsply", # ACC stop mode display setting
"FcwMemSens_D_Actl", # FCW sensitivity setting
"FcwMsgTxt_D_Rq", # FCW text
"AccWarn_D_Dsply", # ACC warning
"FcwVisblWarn_B_Rq", # FCW visible alert
"FcwAudioWarn_B_Rq", # FCW audio alert
"AccTGap_D_Dsply", # ACC time gap
"AccMemEnbl_B_RqDrv", # ACC adaptive/normal setting
"FdaMem_B_Stat", # FDA enabled setting
]}
values.update({
"Tja_D_Stat": status, # TJA status
})
if CP.openpilotLongitudinalControl:
values.update({
"AccStopStat_D_Dsply": 2 if standstill else 0, # Stopping status text
"AccMsgTxt_D2_Rq": 0, # ACC text
"AccTGap_B_Dsply": 1 if show_distance_bars else 0, # Show time gap control UI
"AccFllwMde_B_Dsply": 1 if hud_control.leadVisible else 0, # Lead indicator
"AccStopMde_B_Dsply": 1 if standstill else 0,
"AccWarn_D_Dsply": 0, # ACC warning
"AccTGap_D_Dsply": hud_control.leadDistanceBars, # Time gap
})
# Forwards FCW alert from IPMA
if fcw_alert:
values["FcwVisblWarn_B_Rq"] = 1 # FCW visible alert
return packer.make_can_msg("ACCDATA_3", CAN.main, values)
def create_lkas_ui_msg(packer, CAN: CanBus, main_on: bool, enabled: bool, steer_alert: bool, hud_control,
stock_values: dict):
"""
Creates a CAN message for the Ford IPC IPMA/LKAS status.
Show the LKAS status with the "driver assist" lines in the IPC.
Stock functionality is maintained by passing through unmodified signals.
Frequency is 1Hz.
"""
# LaActvStats_D_Dsply
# R Intvn Warn Supprs Avail No
# L
# Intvn 24 19 14 9 4
# Warn 23 18 13 8 3
# Supprs 22 17 12 7 2
# Avail 21 16 11 6 1
# No 20 15 10 5 0
#
# TODO: test suppress state
if enabled:
lines = 0 # NoLeft_NoRight
if hud_control.leftLaneDepart:
lines += 4
elif hud_control.leftLaneVisible:
lines += 1
if hud_control.rightLaneDepart:
lines += 20
elif hud_control.rightLaneVisible:
lines += 5
elif main_on:
lines = 0
else:
if hud_control.leftLaneDepart:
lines = 3 # WarnLeft_NoRight
elif hud_control.rightLaneDepart:
lines = 15 # NoLeft_WarnRight
else:
lines = 30 # LA_Off
hands_on_wheel_dsply = 1 if steer_alert else 0
values = {s: stock_values[s] for s in [
"FeatConfigIpmaActl",
"FeatNoIpmaActl",
"PersIndexIpma_D_Actl",
"AhbcRampingV_D_Rq", # AHB ramping
"LaDenyStats_B_Dsply", # LKAS error
"CamraDefog_B_Req", # Windshield heater?
"CamraStats_D_Dsply", # Camera status
"DasAlrtLvl_D_Dsply", # DAS alert level
"DasStats_D_Dsply", # DAS status
"DasWarn_D_Dsply", # DAS warning
"AhbHiBeam_D_Rq", # AHB status
"Passthru_63",
"Passthru_48",
]}
values.update({
"LaActvStats_D_Dsply": lines, # LKAS status (lines) [0|31]
"LaHandsOff_D_Dsply": hands_on_wheel_dsply, # 0=HandsOn, 1=Level1 (w/o chime), 2=Level2 (w/ chime), 3=Suppressed
})
return packer.make_can_msg("IPMA_Data", CAN.main, values)
def create_button_msg(packer, bus: int, stock_values: dict, cancel=False, resume=False, tja_toggle=False):
"""
Creates a CAN message for the Ford SCCM buttons/switches.
Includes cruise control buttons, turn lights and more.
Frequency is 10Hz.
"""
values = {s: stock_values[s] for s in [
"HeadLghtHiFlash_D_Stat", # SCCM Passthrough the remaining buttons
"TurnLghtSwtch_D_Stat", # SCCM Turn signal switch
"WiprFront_D_Stat",
"LghtAmb_D_Sns",
"AccButtnGapDecPress",
"AccButtnGapIncPress",
"AslButtnOnOffCnclPress",
"AslButtnOnOffPress",
"LaSwtchPos_D_Stat",
"CcAslButtnCnclResPress",
"CcAslButtnDeny_B_Actl",
"CcAslButtnIndxDecPress",
"CcAslButtnIndxIncPress",
"CcAslButtnOffCnclPress",
"CcAslButtnOnOffCncl",
"CcAslButtnOnPress",
"CcAslButtnResDecPress",
"CcAslButtnResIncPress",
"CcAslButtnSetDecPress",
"CcAslButtnSetIncPress",
"CcAslButtnSetPress",
"CcButtnOffPress",
"CcButtnOnOffCnclPress",
"CcButtnOnOffPress",
"CcButtnOnPress",
"HeadLghtHiFlash_D_Actl",
"HeadLghtHiOn_B_StatAhb",
"AhbStat_B_Dsply",
"AccButtnGapTogglePress",
"WiprFrontSwtch_D_Stat",
"HeadLghtHiCtrl_D_RqAhb",
]}
values.update({
"CcAslButtnCnclPress": 1 if cancel else 0, # CC cancel button
"CcAsllButtnResPress": 1 if resume else 0, # CC resume button
"TjaButtnOnOffPress": 1 if tja_toggle else 0, # LCA/TJA toggle button
})
return packer.make_can_msg("Steering_Data_FD1", bus, values)
@@ -0,0 +1,71 @@
"""
BluePilot: shared manual-steering-override ("human turn") detection for Ford lateral control.
Both Ford lateral strategies hand control back to the driver on a sustained manual turn, and the
detection is identical, so it lives here as one class instead of being copied into each mode. What
each mode DOES with the signal differs: curvature-primary (``lateral_curv_ext``) zeroes its command
(reset_steering + post-reset ramp); angle-primary (``lateral_angle_ext``) forces lateral inactive
(mode 0 on the wire) and ramps path_angle back in from zero through its soft ROC on release.
"""
from opendbc.car import DT_CTRL
from opendbc.car.ford.values import CarControllerParams
# Require sustained hands-on AND a large angle (avoids resetting on small wheel nudges in a curve).
HUMAN_TURN_ANGLE_DEG = 45.0
HUMAN_TURN_HOLD_S = 1.5
# When the wheel was ALREADY past HUMAN_TURN_ANGLE_DEG at first contact -- lateral control had it
# turned mid-curve -- the angle condition is pre-satisfied, so a brief corrective nudge would latch
# after only HUMAN_TURN_HOLD_S of light contact and kill steering mid-curve. Require a longer hold
# there before reading it as an intentional takeover. Route 000000bd (2026-07-14) showed the
# discriminator holds on-road: all 7 deliberate turns began with the wheel below the threshold
# (driver wound it up through 45 deg); only mid-maneuver grabs/nudges began beyond it.
HUMAN_TURN_HOLD_PRETURNED_S = 3.0
_STEER_DT = CarControllerParams.STEER_STEP * DT_CTRL # 20 Hz lateral tick
class HumanTurnDetector:
"""Latches ``active`` once the driver holds real steering pressure AND ``|wheel angle|`` >
``HUMAN_TURN_ANGLE_DEG`` continuously for ``HUMAN_TURN_HOLD_S`` — long enough to tell an
intentional turn from a brief nudge. ``just_released`` pulses True on the first frame after the
override clears, so a mode can re-seed its command as it re-engages.
Call ``update`` once per lateral tick while control is active. Modes that want the timer to zero
on disengage call ``reset`` on their inactive path; modes that want it to persist simply stop
calling ``update`` (the timer holds its value).
"""
def __init__(self):
self.hold_timer_s = 0.0
self.active = False
self._active_last = False
self._pressed_last = False
self._press_started_preturned = False
def update(self, enabled: bool, steering_pressed: bool, steering_angle_deg: float) -> bool:
self._active_last = self.active
# Was the wheel already past the angle threshold when this press began? If so the driver is
# touching a wheel that lateral control turned (mid-curve nudge), not driving a turn -- hold
# the longer HUMAN_TURN_HOLD_PRETURNED_S before latching.
if steering_pressed and not self._pressed_last:
self._press_started_preturned = abs(steering_angle_deg) > HUMAN_TURN_ANGLE_DEG
self._pressed_last = steering_pressed
if not enabled:
self.hold_timer_s = 0.0
elif steering_pressed and abs(steering_angle_deg) > HUMAN_TURN_ANGLE_DEG:
self.hold_timer_s += _STEER_DT
else:
self.hold_timer_s = 0.0
hold_req = HUMAN_TURN_HOLD_PRETURNED_S if self._press_started_preturned else HUMAN_TURN_HOLD_S
self.active = self.hold_timer_s >= hold_req
return self.active
@property
def just_released(self) -> bool:
return self._active_last and not self.active
def reset(self) -> None:
self.hold_timer_s = 0.0
self.active = False
self._active_last = False
self._pressed_last = False
self._press_started_preturned = False
@@ -0,0 +1,37 @@
{
"angle": {
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},
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"origin": "opendbc_repo/opendbc/sunnypilot/car/ford/human_turn.py",
"sha256": "82735e348c5ce3e7b2c6a28ea3e298cca71ae8867433c270f7b54a9ee315ef37",
"revision": "e1d051d7ba270261b4455068bd68f1a58db15a4a"
},
"builders": {
"origin": "opendbc_repo/opendbc/sunnypilot/car/ford/fordcan_ext.py",
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"revision": "e1d051d7ba270261b4455068bd68f1a58db15a4a"
},
"fordcan": {
"origin": "opendbc_repo/opendbc/car/ford/fordcan.py",
"sha256": "0c35b8663afcaa3a58ab028a56f076c2c9f2f0296416c0abaf5905c674672956",
"revision": "e1d051d7ba270261b4455068bd68f1a58db15a4a"
},
"values": {
"origin": "opendbc_repo/opendbc/sunnypilot/car/ford/values_ext.py",
"sha256": "74802d82314eaa27eb610810d2815d3da77003c4a1c62e0437e57e785ba25f52",
"revision": "e1d051d7ba270261b4455068bd68f1a58db15a4a"
},
"starpilot_curvature_controller": {
"origin": "opendbc_repo/opendbc/car/ford/carcontroller.py",
"sha256": "c131d1d5f4231004e00f46968988b5d5f379ec22ef8c44d7f67ded8464344855",
"revision": "d2ae98eb3959c88011ed537e7cbc033d91fd3efa"
},
"bpdev_trim": {
"origin": "opendbc_repo/opendbc/sunnypilot/car/ford/lane_center_trim.py",
"sha256": "1affc0abeaeeabaefca4741b0d75d8f249590c157340c5a9760a395d28f0a621",
"revision": "e22afa6be9b881fa784c92ebb316db47728a3d81"
}
}
@@ -0,0 +1,329 @@
import math
import numpy as np
from opendbc.can import CANPacker
from opendbc.car import ACCELERATION_DUE_TO_GRAVITY, Bus, DT_CTRL, apply_hysteresis, structs
from opendbc.car.ford import fordcan
from opendbc.car.ford.manual_turn import ManualTurnLatch
from opendbc.car.ford.aol import qualified as qualified_aol
from opendbc.car.ford.stock_cruise import FordStockCruiseButton, qualified as stock_switch_qualified
from opendbc.car.ford.curvature_preview import blend_curvature
from opendbc.car.ford import mache_can
from opendbc.car.ford.extended_classic_can import create_extended_classic_lat_ctl_msg
from opendbc.car.ford.classic_lateral import create_controller as create_classic_controller, bounded_command as classic_bounded_command
from opendbc.car.ford.generic_canfd_can import create_extended_canfd_msg
from opendbc.car.ford.generic_canfd_lateral import (
GenericCanfdLateralController, qualified as generic_canfd_qualified, bounded_command as generic_canfd_bounded_command,
)
from opendbc.car.ford.mache_lateral import MachELateralController, FordLateralResult, bounded_command, qualified as mache_qualified
from opendbc.car.ford.values import CarControllerParams, FordFlags, FordSafetyFlags, CAR
from opendbc.car.interfaces import CarControllerBase, V_CRUISE_MAX
LongCtrlState = structs.CarControl.Actuators.LongControlState
VisualAlert = structs.CarControl.HUDControl.VisualAlert
def anti_overshoot(apply_curvature, apply_curvature_last, v_ego):
diff = 0.1
tau = 5 # 5s smooths over the overshoot
dt = DT_CTRL * CarControllerParams.STEER_STEP
alpha = 1 - np.exp(-dt / tau)
lataccel = apply_curvature * (v_ego ** 2)
last_lataccel = apply_curvature_last * (v_ego ** 2)
last_lataccel = apply_hysteresis(lataccel, last_lataccel, diff)
last_lataccel = alpha * lataccel + (1 - alpha) * last_lataccel
output_curvature = last_lataccel / (max(v_ego, 1) ** 2)
return float(np.interp(v_ego, [5, 10], [apply_curvature, output_curvature]))
def apply_creep_compensation(accel: float, v_ego: float, car_fingerprint: str, *, standstill: bool, stopping: bool) -> float:
if car_fingerprint == CAR.FORD_MUSTANG_MACH_E_MK1 and not (standstill and stopping):
return accel
creep_accel = np.interp(v_ego, [1., 3.], [0.6, 0.])
creep_accel = np.interp(accel, [0., 0.2], [creep_accel, 0.])
accel -= creep_accel
return float(accel)
def apply_brake_rate_limit(accel: float, gas: float, accel_last: float, v_ego: float, car_fingerprint: str,
*, stopping: bool, standstill: bool, fcw: bool) -> tuple[float, float]:
mild_mach_e_braking = (
car_fingerprint == CAR.FORD_MUSTANG_MACH_E_MK1 and
-1.0 < gas < 0.0 and v_ego >= 5.0 and not (stopping or standstill or fcw)
)
if mild_mach_e_braking:
accel = max(accel, min(accel_last, 0.0) - 2.0 * CarControllerParams.ACC_CONTROL_STEP * DT_CTRL)
gas = accel
else:
accel = max(accel, accel_last - 3.5 * CarControllerParams.ACC_CONTROL_STEP * DT_CTRL)
return float(accel), float(gas)
class CarController(CarControllerBase):
def __init__(self, dbc_names, CP):
super().__init__(dbc_names, CP)
self.packer = CANPacker(dbc_names[Bus.pt])
self.CAN = fordcan.CanBus(CP)
self.manual_turn = ManualTurnLatch() if CP.carFingerprint == CAR.FORD_MUSTANG_MACH_E_MK1 and not CP.flags & FordFlags.LKA_STEERING else None
self.stock_cruise_button = FordStockCruiseButton()
self.manual_turn_inputs = None
self.mache_lateral = MachELateralController(CP) if mache_qualified(CP) else None
self.mache_extended_announced = False
self.generic_canfd = generic_canfd_qualified(CP)
self.classic_lateral = GenericCanfdLateralController(CP) if self.generic_canfd else create_classic_controller(CP)
self.classic_extended_announced = False
self.classic_profile = any(s.safetyModel == structs.CarParams.SafetyModel.ford and
s.safetyParam & (FordSafetyFlags.CLASSIC_EXTENDED | FordSafetyFlags.GENERIC_CANFD_EXTENDED) for s in CP.safetyConfigs)
self.mache_profile = any(s.safetyModel == structs.CarParams.SafetyModel.ford and
s.safetyParam & FordSafetyFlags.MACH_E_EXTENDED for s in CP.safetyConfigs)
self.apply_curvature_last = 0
self.anti_overshoot_curvature_last = 0
self.accel = 0.0
self.gas = 0.0
self.brake_request = False
self.main_on_last = False
self.lkas_enabled_last = False
self.steer_alert_last = False
self.lead_distance_bars_last = None
self.distance_bar_frame = 0
self.apply_lka_angle_last = 0.
self.apply_lka_curvature_last = 0.
def update(self, CC, CS, now_nanos):
can_sends = []
if (self.mache_lateral is not None or self.classic_lateral is not None) and self.manual_turn_inputs is not None:
self.manual_turn_inputs.update()
self.manual_turn_inputs.apply_blend_settings(self)
actuators = CC.actuators
hud_control = CC.hudControl
main_on = CS.out.cruiseState.available
steer_alert = hud_control.visualAlert in (VisualAlert.steerRequired, VisualAlert.ldw)
fcw_alert = hud_control.visualAlert == VisualAlert.fcw
### acc buttons ###
stock_cancel = False
stock_resume = False
if stock_switch_qualified(self.CP):
stock_cancel, stock_resume = self.stock_cruise_button.update(
bool(CS.buttons_stock_values["CcAslButtnCnclResPress"]),
CS.out.cruiseState.available, CS.out.cruiseState.enabled)
if CC.cruiseControl.cancel:
can_sends.append(fordcan.create_button_msg(self.packer, self.CAN.camera, CS.buttons_stock_values, cancel=True))
can_sends.append(fordcan.create_button_msg(self.packer, self.CAN.main, CS.buttons_stock_values, cancel=True))
elif (stock_cancel or stock_resume) and (self.frame % CarControllerParams.BUTTONS_STEP) == 0:
can_sends.append(fordcan.create_button_msg(
self.packer, self.CAN.camera, CS.buttons_stock_values, cancel=stock_cancel, resume=stock_resume))
can_sends.append(fordcan.create_button_msg(
self.packer, self.CAN.main, CS.buttons_stock_values, cancel=stock_cancel, resume=stock_resume))
elif CC.cruiseControl.resume and (self.frame % CarControllerParams.BUTTONS_STEP) == 0:
can_sends.append(fordcan.create_button_msg(self.packer, self.CAN.camera, CS.buttons_stock_values, resume=True))
can_sends.append(fordcan.create_button_msg(self.packer, self.CAN.main, CS.buttons_stock_values, resume=True))
# if stock lane centering isn't off, send a button press to toggle it off
# the stock system checks for steering pressed, and eventually disengages cruise control
elif CS.acc_tja_status_stock_values["Tja_D_Stat"] != 0 and (self.frame % CarControllerParams.ACC_UI_STEP) == 0:
can_sends.append(fordcan.create_button_msg(self.packer, self.CAN.camera, CS.buttons_stock_values, tja_toggle=True))
### lateral control ###
# send steer msg at 20Hz
if (self.frame % CarControllerParams.STEER_STEP) == 0 and self.CP.flags & FordFlags.LKA_STEERING:
# Preserve the stock LMC heartbeat without requesting lateral action.
can_sends.append(fordcan.create_lat_ctl_msg(self.packer, self.CAN, False, 0., 0., 0., 0.,
stock_lmc=CS.lateral_motion_control))
elif (self.frame % CarControllerParams.STEER_STEP) == 0 and self.mache_lateral is not None:
permission = getattr(self.manual_turn_inputs, "assist_permission", None)
self.mache_lateral.set_assist_permission(*(permission() if permission is not None else ((), False)))
inputs = self.manual_turn_inputs.lateral_snapshot(CS.out.vEgoRaw) if self.manual_turn_inputs is not None else None
if inputs is not None:
self.mache_lateral.set_inputs(*inputs)
else:
# Withdraw stale preview while retaining current actuator/manual-turn control.
self.mache_lateral.set_inputs(None, (), 0.2, self.manual_turn_inputs.enabled if self.manual_turn_inputs is not None else True)
previous = self.mache_lateral.curvature_last
previous_path_angle = self.mache_lateral.path_angle_last
demanded = self.mache_lateral.update(CC, CS, actuators) if self.mache_extended_announced else FordLateralResult()
lateral = bounded_command(self.mache_lateral, demanded, previous, CS.out.vEgoRaw, previous_path_angle)
self.mache_lateral_demand = demanded
self.apply_curvature_last = lateral.curvature
counter = (self.frame // CarControllerParams.STEER_STEP) % 0x10
can_sends.append(mache_can.create_lat_ctl2_msg(
self.packer, self.CAN, int(lateral.active), lateral.ramp_type, lateral.precision_type,
-lateral.curvature, -lateral.curvature_rate, counter, -lateral.path_angle))
elif (self.frame % CarControllerParams.STEER_STEP) == 0 and self.classic_lateral is not None:
inputs = self.manual_turn_inputs.lateral_snapshot(CS.out.vEgoRaw) if self.manual_turn_inputs is not None else None
if inputs is not None:
self.classic_lateral.set_inputs(*inputs)
else:
self.classic_lateral.set_inputs(None, (), 0.2, self.manual_turn_inputs.enabled if self.manual_turn_inputs is not None else True)
previous = self.classic_lateral.curvature_last
demanded = self.classic_lateral.update(CC, CS, actuators) if self.classic_extended_announced else FordLateralResult()
bound = generic_canfd_bounded_command if self.generic_canfd else classic_bounded_command
lateral = bound(self.classic_lateral, demanded, previous, CS.out.vEgoRaw,
-CS.out.yawRate / max(CS.out.vEgoRaw, 0.1))
self.classic_lateral_demand = demanded
self.apply_curvature_last = lateral.curvature
if self.generic_canfd:
counter = (self.frame // CarControllerParams.STEER_STEP) % 0x10
can_sends.append(create_extended_canfd_msg(
self.packer, self.CAN, lateral.active, lateral.ramp_type, lateral.precision_type,
-lateral.curvature, -lateral.curvature_rate, counter))
else:
can_sends.append(create_extended_classic_lat_ctl_msg(
self.packer, self.CAN, lateral.active, lateral.ramp_type, lateral.precision_type,
-lateral.curvature, -lateral.curvature_rate))
elif (self.frame % CarControllerParams.STEER_STEP) == 0:
lateral_active = CC.latActive and not self.mache_profile and not self.classic_profile
manual_turn = False
if self.manual_turn is not None and self.manual_turn_inputs is not None:
detection_enabled, lane_change, model_ready = self.manual_turn_inputs.update()
manual_turn = self.manual_turn.update(CC, CS, float(actuators.curvature), detection_enabled, lane_change, model_ready)
if manual_turn:
lateral_active = False
self.apply_curvature_last = 0.
# Bronco and some other cars consistently overshoot curv requests
# Apply some deadzone + smoothing convergence to avoid oscillations
if self.CP.carFingerprint in (CAR.FORD_BRONCO_SPORT_MK1, CAR.FORD_F_150_MK14):
self.anti_overshoot_curvature_last = anti_overshoot(actuators.curvature, self.anti_overshoot_curvature_last, CS.out.vEgoRaw)
apply_curvature = self.anti_overshoot_curvature_last
else:
apply_curvature = actuators.curvature
# apply rate limits, curvature error limit, and clip to signal range
current_curvature = -CS.out.yawRate / max(CS.out.vEgoRaw, 0.1)
if self.manual_turn is not None and self.manual_turn_inputs is not None and lateral_active:
prediction = getattr(self.manual_turn_inputs, "preview_curvature", None)
preview = prediction(CS.out.vEgoRaw) if prediction is not None else None
if preview is not None:
apply_curvature = blend_curvature(apply_curvature, preview, current_curvature)
# No blending at low speed due to lack of torque wind-up and inaccurate current curvature
if CS.out.vEgoRaw > 9:
apply_curvature = float(np.clip(apply_curvature, current_curvature - CarControllerParams.CURVATURE_ERROR,
current_curvature + CarControllerParams.CURVATURE_ERROR))
apply_curvature = CarControllerParams.CURVATURE_LIMITS.apply_limits(apply_curvature, self.apply_curvature_last, CS.out.vEgoRaw,
0., lateral_active, CarControllerParams.STEER_STEP)
self.apply_curvature_last = 0. if manual_turn else apply_curvature
if self.CP.flags & FordFlags.CANFD:
# TODO: extended mode
# Ford uses four individual signals to dictate how to drive to the car. Curvature alone (limited to 0.02 m^-1)
# can actuate the steering for a large portion of any lateral movements. However, in order to get further control on
# steer actuation, the other three signals are necessary. Ford controls vehicles differently than most other makes.
# A detailed explanation on ford control can be found here:
# https://www.f150gen14.com/forum/threads/introducing-bluepilot-a-ford-specific-fork-for-comma3x-openpilot.24241/#post-457706
mode = 1 if lateral_active else 0
counter = (self.frame // CarControllerParams.STEER_STEP) % 0x10
can_sends.append(fordcan.create_lat_ctl2_msg(self.packer, self.CAN, mode, 0., 0., -self.apply_curvature_last, 0., counter))
else:
can_sends.append(fordcan.create_lat_ctl_msg(self.packer, self.CAN, lateral_active, 0., 0., -self.apply_curvature_last, 0.))
# send lka msg at 33Hz
if (self.frame % CarControllerParams.LKA_STEP) == 0:
if self.CP.flags & FordFlags.LKA_STEERING:
source_age_ns = now_nanos - CS.lkas_available_ts_nanos
lka_active = (CC.latActive and CS.lkas_available and 0 <= source_age_ns <= 100_000_000 and
(CS.out.cruiseState.enabled or qualified_aol(self.CP, marked_only=True)) and
not CS.out.steerFaultTemporary and
not CS.out.vehicleSensorsInvalid)
if lka_active:
desired_angle = float(np.clip(actuators.steeringAngleDeg - CS.out.steeringAngleDeg, -5.8, 5.8))
self.apply_lka_angle_last = float(np.clip(desired_angle, self.apply_lka_angle_last - 1.,
self.apply_lka_angle_last + 1.))
desired_curvature = -actuators.curvature
current_curvature = CS.out.yawRate / max(CS.out.vEgoRaw, 0.1)
if CS.out.vEgoRaw > 9.:
desired_curvature = float(np.clip(desired_curvature, current_curvature - CarControllerParams.CURVATURE_ERROR,
current_curvature + CarControllerParams.CURVATURE_ERROR))
self.apply_lka_curvature_last = CarControllerParams.LKA_CURVATURE_LIMITS.apply_limits(
desired_curvature, self.apply_lka_curvature_last, CS.out.vEgoRaw, 0., True, CarControllerParams.LKA_STEP)
else:
self.apply_lka_angle_last = 0.
self.apply_lka_curvature_last = 0.
self.apply_curvature_last = -self.apply_lka_curvature_last
direction = 2 if self.apply_lka_angle_last >= 0. else 4
can_sends.append(fordcan.create_lka_msg(self.packer, self.CAN, lka_active, self.apply_lka_angle_last,
direction, self.apply_lka_curvature_last, transit=True))
elif self.mache_lateral is not None:
can_sends.append(mache_can.create_lka_msg(self.packer, self.CAN))
self.mache_extended_announced = True
elif self.classic_lateral is not None:
can_sends.append(mache_can.create_lka_msg(self.packer, self.CAN))
self.classic_extended_announced = True
else:
can_sends.append(fordcan.create_lka_msg(self.packer, self.CAN))
### longitudinal control ###
# send acc msg at 50Hz
if self.CP.openpilotLongitudinalControl and (self.frame % CarControllerParams.ACC_CONTROL_STEP) == 0:
accel = actuators.accel
gas = accel
stopping = actuators.longControlState == LongCtrlState.stopping
if CC.longActive:
accel = apply_creep_compensation(accel, CS.out.vEgo, self.CP.carFingerprint,
standstill=CS.out.standstill, stopping=stopping)
accel, gas = apply_brake_rate_limit(
accel, gas, self.accel, CS.out.vEgo, self.CP.carFingerprint,
stopping=stopping, standstill=CS.out.standstill,
fcw=fcw_alert or CS.out.stockFcw or CS.out.stockAeb,
)
accel = float(np.clip(accel, CarControllerParams.ACCEL_MIN, CarControllerParams.ACCEL_MAX))
gas = float(np.clip(gas, CarControllerParams.ACCEL_MIN, CarControllerParams.ACCEL_MAX))
# Both gas and accel are in m/s^2, accel is used solely for braking
if not CC.longActive or gas < CarControllerParams.MIN_GAS:
gas = CarControllerParams.INACTIVE_GAS
# PCM applies pitch compensation to gas/accel, but we need to compensate for the brake/pre-charge bits
accel_due_to_pitch = 0.0
if len(CC.orientationNED) == 3:
accel_due_to_pitch = math.sin(CC.orientationNED[1]) * ACCELERATION_DUE_TO_GRAVITY
accel_pitch_compensated = accel + accel_due_to_pitch
if accel_pitch_compensated > 0.3 or not CC.longActive:
self.brake_request = False
elif accel_pitch_compensated < 0.0:
self.brake_request = True
# TODO: look into using the actuators packet to send the desired speed
can_sends.append(fordcan.create_acc_msg(self.packer, self.CAN, CC.longActive, gas, accel, stopping, self.brake_request, v_ego_kph=V_CRUISE_MAX))
self.accel = accel
self.gas = gas
### ui ###
send_ui = (self.main_on_last != main_on) or (self.lkas_enabled_last != CC.latActive) or (self.steer_alert_last != steer_alert)
# send lkas ui msg at 1Hz or if ui state changes
if (self.frame % CarControllerParams.LKAS_UI_STEP) == 0 or send_ui:
can_sends.append(fordcan.create_lkas_ui_msg(self.packer, self.CAN, main_on, CC.latActive, steer_alert, hud_control, CS.lkas_status_stock_values))
# send acc ui msg at 5Hz or if ui state changes
if hud_control.leadDistanceBars != self.lead_distance_bars_last:
send_ui = True
self.distance_bar_frame = self.frame
if (self.frame % CarControllerParams.ACC_UI_STEP) == 0 or send_ui:
show_distance_bars = self.frame - self.distance_bar_frame < 400
can_sends.append(fordcan.create_acc_ui_msg(self.packer, self.CAN, self.CP, main_on, CC.latActive,
fcw_alert, CS.out.cruiseState.standstill, show_distance_bars,
hud_control, CS.acc_tja_status_stock_values))
self.main_on_last = main_on
self.lkas_enabled_last = CC.latActive
self.steer_alert_last = steer_alert
self.lead_distance_bars_last = hud_control.leadDistanceBars
new_actuators = actuators.as_builder()
new_actuators.curvature = self.apply_curvature_last
if self.CP.flags & FordFlags.LKA_STEERING:
new_actuators.steeringAngleDeg = CS.out.steeringAngleDeg + self.apply_lka_angle_last
new_actuators.accel = self.accel
new_actuators.gas = self.gas
self.frame += 1
return new_actuators, can_sends
@@ -0,0 +1,125 @@
"""
Copyright (c) 2021-, Haibin Wen, sunnypilot, and a number of other contributors.
This file is part of sunnypilot and is licensed under the MIT License.
See the LICENSE.md file in the root directory for more details.
"""
from collections import namedtuple
from opendbc.car import structs
from opendbc.car.docs_definitions import CarParts, Device
from opendbc.car.ford.values import CAR
from opendbc.car.lateral import AngleSteeringLimits
ButtonType = structs.CarState.ButtonEvent.Type
Button = namedtuple('Button', ['event_type', 'can_addr', 'can_msg', 'values'])
# Ford cruise control buttons are in the Steering_Data_FD1 message (CAN ID 131)
# These signals are 1-bit flags: 1 = pressed, 0 = not pressed
#
# Note: Some buttons are combo buttons that emit multiple ButtonEvent types:
# - CcAslButtnSetIncPress emits both accelCruise (type 3) and setCruise (type 9)
# - CcAslButtnCnclResPress emits both cancel (type 5) and resumeCruise (type 10)
#
# There is also a separate CcAslButtnSetPress signal for the standalone "Set" button,
# but based on user mapping, setCruise is mapped to the combo button instead.
BUTTONS = [
# Combo button: Set + Increase (emits accelCruise when enabled, setCruise when disabled)
Button(ButtonType.accelCruise, "Steering_Data_FD1", "CcAslButtnSetIncPress", [1]),
Button(ButtonType.setCruise, "Steering_Data_FD1", "CcAslButtnSetIncPress", [1]),
# Combo button: Set + Decrease (emits decelCruise when enabled, setCruise when disabled)
Button(ButtonType.decelCruise, "Steering_Data_FD1", "CcAslButtnSetDecPress", [1]),
Button(ButtonType.setCruise, "Steering_Data_FD1", "CcAslButtnSetDecPress", [1]),
# Combo button: Cancel/Resume (emits cancel when enabled, resumeCruise when disabled)
Button(ButtonType.cancel, "Steering_Data_FD1", "CcAslButtnCnclResPress", [1]),
Button(ButtonType.resumeCruise, "Steering_Data_FD1", "CcAslButtnCnclResPress", [1]),
# Main cruise button (on/off toggle)
Button(ButtonType.mainCruise, "Steering_Data_FD1", "CcButtnOnOffPress", [1]),
]
class FordSafetyFlagsSP:
"""Sunnypilot-level safety flags for Ford.
Carried in CP_SP.safetyParam and delivered to the safety firmware as
current_safety_param_sp (the separate SP uint16, USB control 0xdf) -- NOT the main
safetyConfigs[].safetyParam. ford_init reads it with GET_FLAG(current_safety_param_sp,
...), same pattern as Subaru STOP_AND_GO (subaru_common.h). Plain int constants, not
IntFlag: CP_SP.safetyParam must stay a plain int through capnp serialization in card.
"""
STEER_ANGLE_CURVATURE = 1
# Geometry-table index for the steering-angle curvature measurement, packed into
# CP_SP.safetyParam bits 1-4 when STEER_ANGLE_CURVATURE is set. Must match the
# ford_pinion_geometry table in safety/modes/ford.h row for row (enforced by
# test_ford.py's geometry-consistency test against CarSpecs + calc_slip_factor).
# Index 0 is reserved as invalid: the firmware treats flag-set-but-no-index as feature
# off, so a half-configured param can never select the wrong geometry silently.
# FORD_EDGE_MK2 is deliberately absent: ALT_STEER_ANGLE platforms read a RELATIVE pinion
# angle (SteeringPinion_Data_Alt + learned offset) and lack the absolute measurement
# this feature needs -- the toggle no-ops there and yaw behavior is kept.
FORD_PINION_GEOMETRY_SHIFT = 1
FORD_PINION_GEOMETRY_INDEX = {
CAR.FORD_BRONCO_SPORT_MK1: 1,
CAR.FORD_ESCAPE_MK4: 2,
CAR.FORD_ESCAPE_MK4_5: 3,
CAR.FORD_EXPEDITION_MK4: 4,
CAR.FORD_EXPLORER_MK6: 5,
CAR.FORD_FOCUS_MK4: 6,
CAR.FORD_F_150_LIGHTNING_MK1: 7,
CAR.FORD_F_150_MK14: 8,
CAR.FORD_MAVERICK_MK1: 9,
CAR.FORD_MONDEO_MK5: 10,
CAR.FORD_MUSTANG_MACH_E_MK1: 11,
CAR.FORD_RANGER_MK2: 12,
}
# BluePilot: Max curvature for steering command (m^-1), from DBC file limits
CURVATURE_MAX = 0.02
# BluePilot: Curvature rate limits — 3-point breakpoints for smoother lateral control.
# Upstream opendbc uses 2-point ([5, 25]) with more conservative values.
# These allow higher rates at low speed for responsiveness, lower rates at mid-speed
# for comfort, and very low rates at highway speed for stability.
#
# Control (Python) uses stricter windup than unwind so OP stays inside panda when apply_std
# picks the wrong table vs steer_angle_cmd_checks. Safety firmware uses looser symmetric ROCs
# (former “down” table for both up/down) — see ford.h FORD_LIMITS.
# Tests: test_ford.py ANGLE_RATE_* match ford.h, not the stricter BP_ANGLE_LIMITS up row.
_BP_ANGLE_RATE_UP = ([5, 16, 25], [0.0025, 0.0012, 0.00008])
_BP_ANGLE_RATE_DOWN = ([5, 16, 25], [0.0025, 0.0014, 0.00018])
BP_ANGLE_LIMITS = AngleSteeringLimits(
0.02, # Max curvature for steering command, m^-1
_BP_ANGLE_RATE_UP,
_BP_ANGLE_RATE_DOWN,
)
def apply_bp_device_mount(car_docs, CP):
"""BluePilot: Select comma3 mount type per vehicle.
Most Ford vehicles use the angled mount due to windshield angle.
Vehicles not in this list use the standard mount.
"""
from opendbc.car.ford.values import CAR, CarHarness, FordFlags
harness = CarHarness.ford_q4 if CP.flags & FordFlags.CANFD else CarHarness.ford_q3
if CP.carFingerprint in (
CAR.FORD_BRONCO_SPORT_MK1,
CAR.FORD_MAVERICK_MK1,
CAR.FORD_F_150_MK14,
CAR.FORD_F_150_LIGHTNING_MK1,
CAR.FORD_ESCAPE_MK4_5,
CAR.FORD_MUSTANG_MACH_E_MK1,
CAR.FORD_RANGER_MK2,
CAR.FORD_EDGE_MK2,
):
car_docs.car_parts = CarParts([Device.threex_angled_mount, harness])
else:
car_docs.car_parts = CarParts([Device.threex, harness])
@@ -0,0 +1,213 @@
"""Pure angle host-independent finite inputs and explicit override/blip reset."""
import math
import unittest
from opendbc.bluepilot_lateral.core.angle import AngleController, Inputs, Command
from opendbc.bluepilot_lateral.params import limits
from opendbc.bluepilot_lateral.tests import reference
from opendbc.bluepilot_lateral.hosts.starpilot import CLASSIC, CANFD, TRUCKS
from opendbc.bluepilot_lateral.can.ford import lateral, lka
from opendbc.can import CANPacker
from types import SimpleNamespace
from dataclasses import replace
from opendbc.bluepilot_lateral.core.trim import LaneCenterTrim, LaneGeometry, TrimConfig
from opendbc.bluepilot_lateral.hosts.starpilot import model_geometry
from openpilot.selfdrive.modeld.constants import ModelConstants
class TestAngleCore(unittest.TestCase):
def test_finite_permission_and_inactive_state_clear_pending_history(self):
for value in (math.nan, math.inf, -math.inf):
for field in ("speed", "desired_curvature", "measured_curvature", "steering_angle", "lateral_delay"):
core = AngleController()
inputs = Inputs(active=True, speed=15., measured_curvature=0., desired_curvature=.001)
self.assertEqual(core.step(replace(inputs, **{field: value})), Command())
core = AngleController()
for _ in range(10):
self.assertTrue(core.step(Inputs(True, 15., 0., .001)).active)
self.assertEqual(core.step(Inputs(False, 15., 0., .001)), Command())
self.assertEqual(core.path_last, 0.)
def test_actual_equivalent_jerk_and_cap_both_signs_and_speeds(self):
for speed in (1., 9., 10., 15., 25., 40., 55.):
for direction in (-1, 1):
core = AngleController(low_gain=.95, high_gain=.95)
previous = 0.
for _ in range(60):
command = core.step(Inputs(True, speed, 0., direction * .002))
if command.active:
equivalent = command.path_angle / speed / limits.GAIN_MIN
self.assertLessEqual(abs(equivalent), min(limits.CURVATURE_MAX, limits.LATERAL_ACCEL / max(speed, 1.) ** 2))
self.assertLessEqual(abs(equivalent - previous), limits.LATERAL_JERK / max(speed - 1., 1.) ** 2 * .05)
previous = equivalent
else:
previous = 0.
def test_human_turn_and_release_blips_are_neutral_then_bounded(self):
core = AngleController()
for _ in range(61):
result = core.step(Inputs(True, 15., 0., .001, steering_pressed=True, steering_angle=60.))
self.assertFalse(result.active)
self.assertEqual(result.path_angle, 0.)
core = AngleController()
for _ in range(12):
core.step(Inputs(True, 15., 0., .001, steering_pressed=True))
for _ in range(6):
self.assertEqual(core.step(Inputs(True, 15., 0., .001)), Command())
resumed = core.step(Inputs(True, 15., 0., .001))
self.assertTrue(resumed.active)
self.assertLess(abs(resumed.path_angle), .02)
def test_pinned_bp7_pure_angle_and_actual_control_bytes_with_documented_limits(self):
builders = reference.builders()
bus = SimpleNamespace(main=0)
differences = set()
packer = CANPacker("ford_lincoln_base_pt")
for identity in sorted(CLASSIC | CANFD):
gains = (.95, .95) if identity in TRUCKS else ((1., 1.05) if identity in CANFD else (1., 1.15))
for speed in (5., 15., 25., 40.):
for direction in (-1, 1):
adapted, upstream = AngleController(low_gain=gains[0], high_gain=gains[1]), reference.Angle(identity)
for tick in range(60):
# Tiny tracking curves stay clear of all intentional envelope changes.
desired = direction * .00005 * (1. + .2 * math.sin(tick / 8.))
inputs = Inputs(True, speed, desired, desired,
yaw_predictions=tuple(desired * speed for _ in ModelConstants.T_IDXS),
time_indices=tuple(ModelConstants.T_IDXS), lateral_delay=.15,
lane_change=tick >= 30, lane_direction=1 if direction < 0 else 2)
result = upstream.step(inputs)
command = adapted.step(inputs)
self.assertTrue(command.active)
self.assertAlmostEqual(command.path_angle, result.path_angle, places=12)
self.assertEqual(command.precision, result.precision_type)
fd = identity in CANFD
actual = lateral(packer, 0, command, canfd=fd, counter=tick % 16)
expected = (builders["create_lat_ctl2_msg"](packer, bus, 1, result.ramp_type, result.precision_type,
0., -result.path_angle, 0., 0., tick % 16) if fd else
builders["create_lat_ctl_msg"](packer, bus, True, result.ramp_type, result.precision_type,
0., -result.path_angle, 0., 0.))
self.assertEqual(actual, expected)
old_shadow = builders["create_lka_msg"](packer, bus, True, SimpleNamespace(), True, upstream.controller.bp_kappa_cmd)
new_shadow = lka(packer, 0, command.shadow_curvature, tick % 8)
# bp7 packs an empty body as raw zeros; the strict native contract requires physical zeros.
self.assertEqual(old_shadow[1][:4], b"\x00\x00\x00\x00")
self.assertEqual(new_shadow[1][:4], b"\x00\x80\x08\x00")
differences.update(("physical_neutral_dbc_offsets", "versioned_side_channel"))
# Aggressive entry demonstrates the required stricter native-equivalent derivative/cap.
adapted, upstream = AngleController(low_gain=gains[0], high_gain=gains[1]), reference.Angle(identity)
previous = 0.
for _tick in range(8):
inputs = Inputs(True, speed, 0., direction * .02,
yaw_predictions=tuple(direction * .02 * speed for _ in ModelConstants.T_IDXS),
time_indices=tuple(ModelConstants.T_IDXS), lateral_delay=.15)
result, command = upstream.step(inputs), adapted.step(inputs)
if command.active:
equivalent = command.path_angle / max(speed, .1) / limits.GAIN_MIN
self.assertLessEqual(abs(equivalent), min(limits.CURVATURE_MAX, limits.LATERAL_ACCEL / max(speed, 1.) ** 2))
self.assertLessEqual(abs(equivalent - previous), limits.LATERAL_JERK / max(speed - 1., 1.) ** 2 * .05)
previous = equivalent
if abs(command.path_angle - result.path_angle) > 1e-7:
differences.add("native_cap_jerk_deviation_packing")
else:
previous = 0.
self.assertEqual(differences, {"physical_neutral_dbc_offsets", "versioned_side_channel", "native_cap_jerk_deviation_packing"})
class TestAngleTrim(unittest.TestCase):
@staticmethod
def geometry(direction=1., *, width=3.3, probability=.9):
xs = (0., 10., 40.)
return LaneGeometry(xs, (direction * .3,) * 3, xs, (-width / 2,) * 3,
xs, (width / 2,) * 3, (probability,) * 2, (.1,) * 2, True)
@staticmethod
def model(g):
return SimpleNamespace(position=SimpleNamespace(x=g.position_x, y=g.position_y),
laneLines=[SimpleNamespace(x=(), y=()), SimpleNamespace(x=g.left_x, y=g.left_y),
SimpleNamespace(x=g.right_x, y=g.right_y)],
laneLineProbs=[0., *g.probabilities], laneLineStds=[0., *g.standard_deviations])
def test_disabled_trim_preserves_all_eleven_default_commands_and_wire_bytes(self):
packer = CANPacker("ford_lincoln_base_pt")
for identity in sorted(CLASSIC | CANFD):
low, high = (.95, .95) if identity in TRUCKS else ((1., 1.05) if identity in CANFD else (1., 1.15))
for speed in (5., 15., 25., 40.):
for direction in (-1, 1):
baseline, supplied = AngleController(low_gain=low, high_gain=high), AngleController(low_gain=low, high_gain=high)
self.assertFalse(supplied.trim_config.enabled)
for tick in range(30):
i = Inputs(True, speed, 0., direction * .0002)
a, b = baseline.step(i), supplied.step(replace(i, geometry=self.geometry(direction)))
self.assertEqual(a, b)
self.assertEqual(lateral(packer, 0, a, canfd=identity in CANFD, counter=tick % 16),
lateral(packer, 0, b, canfd=identity in CANFD, counter=tick % 16))
self.assertEqual(lka(packer, 0, a.shadow_curvature, tick % 8), lka(packer, 0, b.shadow_curvature, tick % 8))
self.assertEqual(supplied.trim.correction, 0.)
def test_fresh_geometry_matches_exact_currentdev_trim_and_model_fallback(self):
for speed in (5., 9., 12., 15., 25., 40.):
for direction in (-1, 1):
adapted, upstream = LaneCenterTrim(), reference.trim()()
config = TrimConfig(True, direction * .1, .25)
for tick in range(90):
g = self.geometry(direction, width=3.3 if tick < 30 or tick >= 60 else 1.5,
probability=.9 if tick < 60 else .3)
actual = adapted.update(.0001, speed, g, config, active=True, lane_change=False)
expected = upstream.update(.0001, self.model(g), speed, True, config.offset_m, config.gain, True, False)
self.assertAlmostEqual(actual, expected, places=14)
self.assertAlmostEqual(adapted.correction, upstream.correction, places=14)
projected = model_geometry(self.model(g), fresh=True)
self.assertEqual(projected, g)
self.assertIsNone(model_geometry(self.model(g), fresh=False))
def test_invalid_stale_driver_and_lane_change_suppress_trim_and_reset_history(self):
original = self.geometry()
config = TrimConfig(True, 0., .25)
for geometry in (replace(original, fresh=False), replace(original, position_x=(0., 0., 40.)),
replace(original, position_y=(0., math.nan, 0.)), replace(original, position_y=(0.,)), None):
trim = LaneCenterTrim()
self.assertNotEqual(trim.update(0., 15., original, config, active=True, lane_change=False), 0.)
self.assertEqual(trim.update(.001, 15., geometry, config, active=True, lane_change=False), .001)
self.assertEqual(trim.correction, 0.)
for changes in ({"active": False}, {"lane_change": True}, {"steering_pressed": True}):
trim = LaneCenterTrim()
trim.update(0., 15., original, config, active=True, lane_change=False)
flags = dict(active=True, lane_change=False, steering_pressed=False)
flags.update(changes)
self.assertEqual(trim.update(.001, 15., original, config, **flags), .001)
self.assertEqual(trim.correction, 0.)
for invalid in (TrimConfig(True, math.nan, .25), TrimConfig(True, 0., math.inf), TrimConfig(True, .6, .25)):
self.assertEqual(LaneCenterTrim().update(.001, 15., original, invalid, active=True, lane_change=False), .001)
# Bad lane-only references fall back to the model+offset, not a stale lane correction.
bad = replace(original, probabilities=(math.nan, .9))
without_lines = replace(original, left_x=(), right_x=())
a, b = LaneCenterTrim(), LaneCenterTrim()
self.assertEqual(a.update(0., 15., bad, TrimConfig(True, .1, .25), active=True, lane_change=False),
b.update(0., 15., without_lines, TrimConfig(True, .1, .25), active=True, lane_change=False))
core = AngleController(trim_config=config)
core.step(Inputs(True, 15., 0., 0., geometry=original))
self.assertNotEqual(core.trim.correction, 0.)
self.assertEqual(core.step(Inputs(False, 15., 0., 0., geometry=original)), Command())
self.assertEqual(core.trim.correction, 0.)
def test_enabled_trim_remains_inside_final_curvature_jerk_and_shadow_bounds(self):
for speed in (9., 10., 15., 25., 40.):
for direction in (-1, 1):
core = AngleController(low_gain=.95, high_gain=.95, trim_config=TrimConfig(True, direction * .5, 1.))
previous, previous_trim, previous_active = 0., 0., False
for _tick in range(100):
command = core.step(Inputs(True, speed, 0., direction * .02, geometry=self.geometry(-direction)))
if command.active and previous_active:
self.assertLessEqual(abs(core.trim.correction - previous_trim), .00015 + 1e-12)
previous_trim, previous_active = core.trim.correction, command.active
if command.active:
equivalent = command.path_angle / speed / limits.GAIN_MIN
self.assertLessEqual(abs(equivalent), min(limits.CURVATURE_MAX, limits.LATERAL_ACCEL / max(speed, 1.) ** 2))
self.assertLessEqual(abs(equivalent - previous), limits.LATERAL_JERK / max(speed - 1., 1.) ** 2 * .05)
self.assertLessEqual(abs(command.shadow_curvature), min(limits.CURVATURE_MAX, limits.LATERAL_ACCEL / max(speed, 1.) ** 2))
# Shadow comes from the final path; no independent trim/shadow command can bypass bounds.
ratio = command.path_angle / (speed * command.shadow_curvature) if command.shadow_curvature else 1.
self.assertTrue(limits.GAIN_MIN - 1e-12 <= ratio <= limits.GAIN_MAX + 1e-12)
previous = equivalent
else:
previous = 0.
self.assertEqual(core.trim.correction, 0.)
@@ -0,0 +1,307 @@
"""Public packed angle/native boundaries; uses the runner-selected safety library."""
from opendbc.bluepilot_lateral.core.angle import AngleController, Inputs, Command
from opendbc.bluepilot_lateral.can.ford import lateral, lka, checksum4
from opendbc.safety.tests import common
from opendbc.safety.tests.libsafety import libsafety_py
from opendbc.car.structs import CarParams
from opendbc.can import CANPacker
class TestFordAngleNative(common.SafetyTestBase):
DBC = "ford_lincoln_base_pt"
SAFETY_MODEL = CarParams.SafetyModel.ford
SAFETY_PARAM = 128
def setUp(self):
super().setUp()
self.debug = self.safety.set_safety_hooks(CarParams.SafetyModel.allOutput, 0) == 0
self.safety.set_safety_hooks(self.SAFETY_MODEL, self.SAFETY_PARAM)
self.safety.init_tests()
self.now = 1_000_000
self.lka_count = 0
self.control_count = 0
self.word = self.SAFETY_PARAM
def packet(self, msg):
addr, dat, bus = msg
return libsafety_py.make_CANPacket(addr, bus, dat)
def rx(self, name, values, *, bus=0):
self.assertTrue(self._rx(self.packer.make_can_msg_safety(name, bus, values)))
def warm(self, speed=15.0, curvature=0.0):
self.safety.set_timer(self.now)
for _ in range(6):
self.rx("BrakeSysFeatures", {"Veh_V_ActlBrk": speed * 3.6, "VehVActlBrk_D_Qf": 3})
self.rx("EngVehicleSpThrottle2", {"Veh_V_ActlEng": speed * 3.6, "VehVActlEng_D_Qf": 3})
self.rx("Yaw_Data_FD1", {"VehYaw_W_Actl": curvature * speed, "VehYawWActl_D_Qf": 3})
self.rx("EngVehicleSpThrottle", {"ApedPos_Pc_ActlArb": 0})
self.rx("DesiredTorqBrk", {"VehStop_D_Stat": 0})
self.rx("Steering_Data_FD1", {"CcAslButtnCnclResPress": 0})
if not self.safety.get_controls_allowed():
self.rx("EngBrakeData", {"BpedDrvAppl_D_Actl": 1, "CcStat_D_Actl": 0})
self.rx("EngBrakeData", {"BpedDrvAppl_D_Actl": 1, "CcStat_D_Actl": 5})
self.assertTrue(self.safety.get_controls_allowed())
def reset_word(self, word):
self.safety.set_alternative_experience(0)
self.safety.set_safety_hooks(self.SAFETY_MODEL, word)
self.word = word
self.lka_count = self.control_count = 0
self.now += 1_000_000
self.warm()
def shadow(self, command):
msg = lka(self.packer, 0, command.shadow_curvature, self.lka_count)
self.lka_count = (self.lka_count + 1) % 8
return msg
def control(self, command):
msg = lateral(self.packer, 0, command, canfd=bool(self.word & 2), counter=self.control_count)
self.control_count = (self.control_count + 1) % 16
return msg
def send(self, msg, expected=True):
self.assertEqual(bool(self._tx(self.packet(msg))), expected)
def tick(self, command):
self.now += 50_000
self.warm()
self.send(self.shadow(command))
self.send(self.control(command))
def test_real_packer_physical_neutral_shadow_and_corruptions(self):
packer = CANPacker(self.DBC)
for word in (128, 130):
for direction in (-1, 1):
for fault in ("angle", "curvature", "checksum", "version", "counter", "replay"):
with self.subTest(word=word, direction=direction, fault=fault):
self.reset_word(word)
command = Command(True, direction * 0.005, direction * 0.005 / 15.0)
# Real RX and PCM edges in warm() establish permission, with no allowance setter.
self.assertTrue(self.safety.get_controls_allowed())
good = lka(packer, 0, command.shadow_curvature, 0)
addr, data, bus = good
self.assertEqual((addr, bus), (0x3CA, 0))
self.assertEqual(data[:4], b"\x00\x80\x08\x00")
self.assertEqual(((data[2] & 15) << 8) | data[3], 2048)
self.assertEqual((data[1] << 4) | (data[2] >> 4), 2048)
self.assertEqual(data[7] & 15, 1)
self.assertEqual(data[7] >> 4, checksum4(data))
self.assertEqual(int.from_bytes(data[5:7], "big", signed=True), round(-command.shadow_curvature * 1e6))
self.send(good)
self.send(lateral(packer, 0, command, canfd=bool(word & 2), counter=0))
self.now += 50_000
self.warm()
next_good = lka(packer, 0, command.shadow_curvature, 1)
mutated = bytearray(next_good[1])
if fault == "angle":
mutated[3] ^= 1
elif fault == "curvature":
mutated[1] ^= 1
elif fault == "checksum":
mutated[7] ^= 16
elif fault == "version":
mutated[7] ^= 1
elif fault == "counter":
mutated[4] ^= 4
if fault in ("angle", "curvature", "counter"):
mutated[7] = 1 | (checksum4(mutated) << 4)
bad = good if fault == "replay" else (addr, bytes(mutated), bus)
self.send(bad, False)
self.assertTrue(self.safety.get_controls_allowed())
self.send(lateral(packer, 0, command, canfd=bool(word & 2), counter=1), False)
# A new valid announcement restores the same bounded path without relaxing native checks.
self.now += 50_000
self.warm()
self.send(next_good)
self.send(lateral(packer, 0, command, canfd=bool(word & 2), counter=1))
def test_actual_core_packer_boundary_all_namespaces(self):
words = [128, 129, 130]
if self.debug:
words.append(131)
for word in words:
for direction in (-1, 1):
self.reset_word(word)
core = AngleController(low_gain=0.95, high_gain=0.95)
active_seen = False
for _ in range(40):
command = core.step(Inputs(True, 15.0, 0.0, direction * 0.02))
active_seen |= command.active
self.tick(command)
self.assertTrue(active_seen)
self.tick(Command())
def test_cold_and_stale_shadow_require_new_valid_announcement(self):
command = Command(True, 0.005, 0.005 / 15.0)
self.warm()
self.send(self.control(command), False)
self.send(self.shadow(command))
self.send(self.control(command))
self.now += 60_001
self.warm()
self.send(self.control(command), False)
self.now += 50_000
self.warm()
self.send(self.shadow(command))
self.send(self.control(command))
def test_invalid_shadow_version_checksum_and_dbc_bits_withdraw(self):
command = Command(True, 0.005, 0.005 / 15.0)
for index, mask in ((7, 1), (7, 16), (0, 32), (4, 2), (4, 32)):
self.reset_word(128)
valid = self.shadow(command)
addr, data, bus = valid
mutated = bytearray(data)
mutated[index] ^= mask
if index != 7:
mutated[7] = 1 | (checksum4(mutated) << 4)
self.send((addr, bytes(mutated), bus), False)
self.send(self.control(command), False)
self.send(valid)
self.send(self.control(command))
def test_replay_wrong_bus_and_length_cannot_refresh_shadow(self):
command = Command(True, 0.005, 0.005 / 15.0)
self.warm()
msg = self.shadow(command)
self.send(msg)
self.send(msg, False)
self.send(self.control(command), False)
for bus, size in ((2, 8), (0, 7), (0, 16)):
addr, dat, _ = self.shadow(command)
self.send((addr, (dat + b"\x00" * 8)[:size], bus), False)
self.now += 30_000
self.rx("EngBrakeData", {"BpedDrvAppl_D_Actl": 1, "CcStat_D_Actl": 0})
self.send(self.shadow(Command()))
self.now += 30_000
self.warm()
self.send(self.shadow(command))
self.send(self.control(command))
def test_native_actual_path_cannot_be_laundered_by_shadow(self):
for command in (Command(True, 0.0005, 0.0), Command(True, -0.0005, 0.0), Command(True, 0.5, 0.0), Command(True, -0.01, 0.001),
Command(True, 0.04, 0.002), Command(True, 0.10, 0.005)):
self.reset_word(128)
self.send(self.shadow(command))
self.send(self.control(command), False)
# A rejected command does not seed an excessive subsequent ROC.
self.reset_word(128)
large = Command(True, 0.20, 0.01)
self.send(self.shadow(large))
self.send(self.control(large), False)
self.now += 50_000
self.warm()
small = Command(True, 0.005, 0.005 / 15.0)
self.send(self.shadow(small))
self.send(self.control(small))
def test_permission_and_rx_withdrawals(self):
command = Command(True, 0.005, 0.005 / 15.0)
for source in ("brake", "gas", "cruise", "speed_quality", "yaw_checksum", "stale"):
self.reset_word(128)
self.send(self.shadow(command))
self.send(self.control(command))
self.now += 50_000
self.warm()
self.send(self.shadow(command))
if source == "brake":
self.rx("EngBrakeData", {"BpedDrvAppl_D_Actl": 2, "CcStat_D_Actl": 5})
elif source == "gas":
self.rx("EngVehicleSpThrottle", {"ApedPos_Pc_ActlArb": 50})
elif source == "cruise":
self.rx("EngBrakeData", {"BpedDrvAppl_D_Actl": 1, "CcStat_D_Actl": 3})
elif source == "speed_quality":
self.assertFalse(self._rx(self.packer.make_can_msg_safety("BrakeSysFeatures", 0, {"VehVActlBrk_D_Qf": 0})))
elif source == "yaw_checksum":
packet = self.packer.make_can_msg_safety("Yaw_Data_FD1", 0, {"VehYawWActl_D_Qf": 3})
packet[0].data[4] ^= 1
self.assertFalse(self._rx(packet))
else:
self.now += 200_001
self.safety.set_timer(self.now)
self.send(self.control(command), False)
self.send(self.control(Command()))
def test_fd_bad_crc_counter_and_mode_neutral_recovery(self):
self.reset_word(130)
command = Command(True, 0.005, 0.005 / 15.0)
self.send(self.shadow(command))
good = self.control(command)
addr, dat, bus = good
bad = bytearray(dat)
bad[1] ^= 1
self.send((addr, bytes(bad), bus), False)
self.send(good, False) # bad CRC withdrew shadow
self.now += 50_000
self.warm()
self.send(self.shadow(command))
self.send(self.control(Command())) # valid mode0 resynchronizes skipped counters
self.now += 50_000
self.warm()
self.send(self.shadow(command))
self.send(self.control(command))
self.now += 50_000
self.warm()
self.send(self.shadow(command))
self.control_count = (self.control_count + 1) % 16
self.send(self.control(command), False)
def test_adjacent_profile_version_and_release_long_denials(self):
command = Command(True, 0.005, 0.005 / 15.0)
for word in (0, 2, 4, 8, 10, 12, 18, 32, 66, 132, 134, 136, 160, 194, 256):
self.reset_word(word)
announcement = self.shadow(command)
if word & 128:
self.send(announcement, False)
else:
self._tx(self.packet(announcement)) # Existing neutral metadata is not angle authority.
self.send(self.control(command), False)
self.reset_word(131)
expected = bool(self.debug)
self.send(self.shadow(command), expected)
self.send(self.control(command), expected)
def test_rejected_metadata_does_not_erase_last_accepted_path_and_neutral_resync(self):
self.reset_word(128)
# At25m/s ROC is tight enough that erasing the accepted path would reject a same-path retry.
core = AngleController(low_gain=.95, high_gain=.95)
for _ in range(30):
self.now += 50_000
self.warm(speed=25., curvature=.001)
command = core.step(Inputs(True, 25., -.001, -.001))
self.send(self.shadow(command))
self.send(self.control(command))
self.assertGreater(abs(command.path_angle), .01)
self.now += 50_000
self.warm(speed=25., curvature=.001)
good = self.shadow(command)
addr, data, bus = good
bad = bytearray(data)
bad[7] ^= 16
self.send((addr, bytes(bad), bus), False)
self.send(good)
self.send(self.control(command))
self.now += 50_000
self.warm(speed=25., curvature=.001)
self.send(self.control(Command()))
self.now += 50_000
self.warm(speed=25., curvature=.001)
recovery = AngleController(low_gain=.95, high_gain=.95).step(Inputs(True, 25., -.001, -.001))
self.send(self.shadow(recovery))
self.send(self.control(recovery))
def test_rt_rate_denial_expires_and_neutral_can_recover(self):
self.reset_word(130)
for _ in range(8):
self.send(self.control(Command()))
self.send(self.control(Command()), False)
self.now += 250_000
self.warm()
self.send(self.control(Command()))
self.now += 50_000
self.warm()
command = Command(True, .005, .005 / 15.)
self.send(self.shadow(command))
self.send(self.control(command))
@@ -0,0 +1,7 @@
Copyright (c) 2018, Comma.ai, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
@@ -0,0 +1,21 @@
# Custom MIT License
Copyright (c) 2024, Haibin Wen, SUNNYPILOT LLC
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to view and modify the Software, subject to the following conditions:
1. **Permission Required**: Permission Required for Commercial, For-Profit, or Closed Source Use: Use of the Software, in whole or in part, for any commercial purposes, for-profit projects, or in closed source projects requires explicit written permission from the original author(s).
2. **Redistribution**: Any redistribution of the Software, modified or unmodified, must retain this license notice and the following acknowledgment:
"This software is licensed under a custom license requiring permission for use."
3. **Visibility**: Any project that uses the Software must visibly mention the following acknowledgment:
"This project uses software from Haibin Wen and SUNNYPILOT LLC and is licensed under a custom license requiring permission for use."
4. **No Warranty**: THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Contact sunnypilot Support <support@sunnypilot.ai> for permission requests.
---
Haibin Wen, SUNNYPILOT LLC
+2 -2
View File
@@ -204,8 +204,8 @@ class CANParser:
strings = [strings]
for addr in self.addresses:
for k in self.vl_all[addr]:
self.vl_all[addr][k].clear()
for values in self.vl_all[addr].values():
values.clear()
updated_addrs: set[int] = set()
for entry in strings:
@@ -0,0 +1,47 @@
import unittest
from opendbc.can import CANPacker, CANParser
from opendbc.can.tests import TEST_DBC
class TestParserClearValues(unittest.TestCase):
def test_empty_update_clears_every_list_without_replacing_aliases(self):
parser = CANParser(TEST_DBC, [("CAN_FD_MESSAGE", 10)], 0)
packer = CANPacker(TEST_DBC)
first = packer.make_can_msg("CAN_FD_MESSAGE", 0, {"SIGNED": 12})
second = packer.make_can_msg("CAN_FD_MESSAGE", 0, {"SIGNED": 34})
parser.update([(1_000_000, [first]), (2_000_000, [second])])
values = parser.vl_all["CAN_FD_MESSAGE"]
self.assertIs(values, parser.vl_all[first[0]])
self.assertEqual(values["SIGNED"], [12, 34])
# Extra caller-created entries are also part of the public mapping.
values["extra"] = [56]
aliases = dict(values)
timestamps = dict(parser.ts_nanos["CAN_FD_MESSAGE"])
latest = dict(parser.vl["CAN_FD_MESSAGE"])
self.assertEqual(parser.update([]), set())
self.assertEqual(set(values), set(aliases))
for key, value in aliases.items():
self.assertIs(values[key], value)
self.assertEqual(value, [])
self.assertEqual(parser.ts_nanos["CAN_FD_MESSAGE"], timestamps)
self.assertEqual(parser.vl["CAN_FD_MESSAGE"], latest)
self.assertEqual(parser._last_update_nanos, 2_000_000)
self.assertEqual(parser.last_nonempty_nanos, 2_000_000)
def test_lazily_added_message_and_repeated_empty_updates(self):
parser = CANParser(TEST_DBC, [], 0)
parser.vl["Brake_Status"]
values = parser.vl_all["Brake_Status"]
values["Signal1"] = [1, 2]
alias = values["Signal1"]
for _ in range(3):
self.assertEqual(parser.update([]), set())
self.assertIs(values["Signal1"], alias)
self.assertEqual(alias, [])
alias.append(3)
if __name__ == "__main__":
unittest.main()
+29 -3
View File
@@ -1,6 +1,8 @@
import math
import numpy as np
from opendbc.can import CANPacker
from opendbc.bluepilot_lateral import BluePilotLateral
from opendbc.bluepilot_lateral.hosts.starpilot import qualified as angle_qualified
from opendbc.car import ACCELERATION_DUE_TO_GRAVITY, Bus, DT_CTRL, apply_hysteresis, structs
from opendbc.car.ford import fordcan
from opendbc.car.ford.manual_turn import ManualTurnLatch
@@ -15,6 +17,7 @@ from opendbc.car.ford.generic_canfd_lateral import (
GenericCanfdLateralController, qualified as generic_canfd_qualified, bounded_command as generic_canfd_bounded_command,
)
from opendbc.car.ford.mache_lateral import MachELateralController, FordLateralResult, bounded_command, qualified as mache_qualified
from opendbc.car.ford.new_port_curvature import create_controller as create_new_port_curvature, bounded_command as new_port_bounded_command
from opendbc.car.ford.values import CarControllerParams, FordFlags, FordSafetyFlags, CAR
from opendbc.car.interfaces import CarControllerBase, V_CRUISE_MAX
@@ -66,6 +69,7 @@ class CarController(CarControllerBase):
self.packer = CANPacker(dbc_names[Bus.pt])
self.CAN = fordcan.CanBus(CP)
self.bp_lat = BluePilotLateral(CP) if angle_qualified(CP) else None
self.manual_turn = ManualTurnLatch() if CP.carFingerprint == CAR.FORD_MUSTANG_MACH_E_MK1 and not CP.flags & FordFlags.LKA_STEERING else None
self.stock_cruise_button = FordStockCruiseButton()
self.manual_turn_inputs = None
@@ -73,6 +77,7 @@ class CarController(CarControllerBase):
self.mache_extended_announced = False
self.generic_canfd = generic_canfd_qualified(CP)
self.classic_lateral = GenericCanfdLateralController(CP) if self.generic_canfd else create_classic_controller(CP)
self.new_port_curvature = create_new_port_curvature(CP)
self.classic_extended_announced = False
self.classic_profile = any(s.safetyModel == structs.CarParams.SafetyModel.ford and
s.safetyParam & (FordSafetyFlags.CLASSIC_EXTENDED | FordSafetyFlags.GENERIC_CANFD_EXTENDED) for s in CP.safetyConfigs)
@@ -93,7 +98,7 @@ class CarController(CarControllerBase):
def update(self, CC, CS, now_nanos):
can_sends = []
if (self.mache_lateral is not None or self.classic_lateral is not None) and self.manual_turn_inputs is not None:
if (self.mache_lateral is not None or self.classic_lateral is not None or self.new_port_curvature is not None) and self.manual_turn_inputs is not None:
self.manual_turn_inputs.update()
self.manual_turn_inputs.apply_blend_settings(self)
@@ -130,7 +135,10 @@ class CarController(CarControllerBase):
### lateral control ###
# send steer msg at 20Hz
if (self.frame % CarControllerParams.STEER_STEP) == 0 and self.CP.flags & FordFlags.LKA_STEERING:
if (self.frame % CarControllerParams.STEER_STEP) == 0 and self.bp_lat is not None:
can_sends += self.bp_lat.step_lateral(CC, CS, self.packer, self.CAN, self.frame, now_nanos)
self.apply_curvature_last = self.bp_lat.apply_curvature_last
elif (self.frame % CarControllerParams.STEER_STEP) == 0 and self.CP.flags & FordFlags.LKA_STEERING:
# Preserve the stock LMC heartbeat without requesting lateral action.
can_sends.append(fordcan.create_lat_ctl_msg(self.packer, self.CAN, False, 0., 0., 0., 0.,
stock_lmc=CS.lateral_motion_control))
@@ -175,6 +183,22 @@ class CarController(CarControllerBase):
can_sends.append(create_extended_classic_lat_ctl_msg(
self.packer, self.CAN, lateral.active, lateral.ramp_type, lateral.precision_type,
-lateral.curvature, -lateral.curvature_rate))
elif (self.frame % CarControllerParams.STEER_STEP) == 0 and self.new_port_curvature is not None:
inputs = self.manual_turn_inputs.lateral_snapshot(CS.out.vEgoRaw) if self.manual_turn_inputs is not None else None
self.new_port_curvature.set_inputs(*(inputs if inputs is not None else
(None, (), 0.2, self.manual_turn_inputs.enabled if self.manual_turn_inputs is not None else True)))
previous = self.new_port_curvature.curvature_last
demanded = self.new_port_curvature.update(CC, CS, actuators)
lateral = new_port_bounded_command(self.new_port_curvature, demanded, previous, CS.out.vEgoRaw,
-CS.out.yawRate / max(CS.out.vEgoRaw, 0.1))
self.new_port_curvature_demand = demanded
self.apply_curvature_last = lateral.curvature
if self.CP.flags & FordFlags.CANFD:
counter = (self.frame // CarControllerParams.STEER_STEP) % 0x10
can_sends.append(fordcan.create_lat_ctl2_msg(self.packer, self.CAN, int(lateral.active), 0., 0.,
-lateral.curvature, 0., counter))
else:
can_sends.append(fordcan.create_lat_ctl_msg(self.packer, self.CAN, lateral.active, 0., 0., -lateral.curvature, 0.))
elif (self.frame % CarControllerParams.STEER_STEP) == 0:
lateral_active = CC.latActive and not self.mache_profile and not self.classic_profile
manual_turn = False
@@ -222,7 +246,9 @@ class CarController(CarControllerBase):
# send lka msg at 33Hz
if (self.frame % CarControllerParams.LKA_STEP) == 0:
if self.CP.flags & FordFlags.LKA_STEERING:
if self.bp_lat is not None:
can_sends += self.bp_lat.step_lka(self.packer, self.CAN, now_nanos)
elif self.CP.flags & FordFlags.LKA_STEERING:
source_age_ns = now_nanos - CS.lkas_available_ts_nanos
lka_active = (CC.latActive and CS.lkas_available and 0 <= source_age_ns <= 100_000_000 and
(CS.out.cruiseState.enabled or qualified_aol(self.CP, marked_only=True)) and
@@ -6,6 +6,7 @@ THIRD_PARTY_NOTICES.md.
"""
from dataclasses import replace
from typing import Protocol
import numpy as np
@@ -23,7 +24,7 @@ class ExplorerLateralController(FordLateralController):
super().__init__(CP)
self.manual_turn_detected = False
def _manual_turn(self, CC, CS, desired, driver_assisting) -> bool:
def _manual_turn(self, CC, CS, desired: float, driver_assisting: bool = False) -> bool:
self.manual_turn_detected = super()._manual_turn(CC, CS, desired, driver_assisting)
return self.manual_turn_detected
@@ -47,7 +48,13 @@ def qualified(CP) -> bool:
return safety.safetyModel == structs.CarParams.SafetyModel.ford and safety.safetyParam == expected
def bounded_command(owner: ExplorerLateralController, demanded: FordLateralResult,
class CurvatureOwner(Protocol):
manual_turn_detected: bool
curvature_last: float
path_angle_last: float
def bounded_command(owner: CurvatureOwner, demanded: FordLateralResult,
previous: float, speed: float, measured: float, *, absolute_cap: float | None = None) -> FordLateralResult:
"""Keep classic demand inside the modern common ISO/jerk envelope."""
limits = CarControllerParams.CURVATURE_LIMITS
+1 -1
View File
@@ -35,7 +35,7 @@ class CarInterface(CarInterfaceBase):
ret.radarUnavailable = Bus.radar not in DBC[candidate]
ret.steerControlType = structs.CarParams.SteerControlType.angle
ret.steerActuatorDelay = 0.05 if ret.flags & FordFlags.LKA_STEERING else 0.2
ret.steerActuatorDelay = 0.05 if ret.flags & FordFlags.LKA_STEERING else 0.22
ret.steerLimitTimer = 1.0
ret.steerAtStandstill = True
@@ -0,0 +1,69 @@
"""Reuse the current Ford curvature strategy for exact Edge/Mondeo callers.
Only scalar curvature crosses the existing native boundary; no protocol extension.
The reused strategy retains its required provenance and notices in lateral_strategy.py.
"""
from dataclasses import replace
import math
from opendbc.car import structs
from opendbc.car.ford.explorer_lateral import bounded_command as shared_bound
from opendbc.car.ford.lateral_strategy import FordLateralController, FordLateralResult
from opendbc.car.ford.values import CAR, FordFlags
PROFILES = {
CAR.FORD_EDGE_MK2: (int(FordFlags.NEW_PORT | FordFlags.ALT_STEER_ANGLE), 8),
CAR.FORD_MONDEO_MK5: (int(FordFlags.NEW_PORT | FordFlags.CANFD), 10),
}
def qualified(cp):
profile = PROFILES.get(cp.carFingerprint)
if (profile is None or cp.brand != "ford" or cp.passive or cp.dashcamOnly or cp.notCar or
cp.alternativeExperience not in (0, 32) or not cp.pcmCruise or
cp.steerControlType != structs.CarParams.SteerControlType.angle or
len(cp.safetyConfigs) not in (1, 2) or (cp.alternativeExperience == 32 and len(cp.safetyConfigs) != 1)):
return False
flags, word = profile
if (int(cp.flags) & ~int(FordFlags.HAS_BSM)) != flags:
return False
if len(cp.safetyConfigs) == 2 and (cp.safetyConfigs[0].safetyModel != structs.CarParams.SafetyModel.noOutput or
cp.safetyConfigs[0].safetyParam != 0):
return False
safety = cp.safetyConfigs[-1]
return safety.safetyModel == structs.CarParams.SafetyModel.ford and safety.safetyParam == word + int(cp.openpilotLongitudinalControl)
class NewPortCurvatureController(FordLateralController):
def __init__(self, cp):
if not qualified(cp):
raise ValueError("Edge/Mondeo curvature requires its exact current native profile")
super().__init__(cp)
self.manual_turn_detected = False
def _manual_turn(self, CC, CS, desired: float, driver_assisting: bool = False) -> bool:
self.manual_turn_detected = super()._manual_turn(CC, CS, desired, driver_assisting)
return self.manual_turn_detected
def update(self, CC, CS, actuators):
out = CS.out
if (not CC.latActive or not out.canValid or out.canTimeout or out.steerFaultTemporary or
out.steerFaultPermanent or out.vehicleSensorsInvalid or
not all(math.isfinite(value) for value in (out.vEgoRaw, out.yawRate, out.steeringAngleDeg, actuators.curvature))):
self.human_turn.reset()
self.curvature_samples.clear()
self.curvature_last = self.path_angle_last = 0.0
self.manual_turn_detected = False
return FordLateralResult()
return super().update(CC, CS, actuators)
def create_controller(cp):
return NewPortCurvatureController(cp) if qualified(cp) else None
def bounded_command(owner, demanded, previous, speed, measured):
cap = (3.0 - 9.81 * .06) / max(speed, 1.) ** 2 if owner.CP.flags & FordFlags.CANFD else None
command = shared_bound(owner, demanded, previous, speed, measured, absolute_cap=cap)
# These profiles keep their current curvature-only native/codec contract.
return replace(command, curvature_rate=0.0, path_angle=0.0, ramp_type=0, precision_type=1)
@@ -27,6 +27,9 @@ class FordStockCruiseButton:
def qualified(CP) -> bool:
from opendbc.bluepilot_lateral.hosts.starpilot import qualified as angle_qualified
if angle_qualified(CP):
return not CP.openpilotLongitudinalControl
if CP.alternativeExperience == 32 and len(CP.safetyConfigs) != 1:
return False
"""Existing stock profiles with the paired physical-driver button contract."""
@@ -0,0 +1,206 @@
"""Current-strategy Edge/Mondeo wiring and current native scalar-curvature proof.
Source-only authored cases; runtime must bind actual DEBUG/RELEASE libraries.
"""
import os
from pathlib import Path
import unittest
from unittest.mock import patch
from openpilot.cereal import messaging
from openpilot.common.params import Params
from openpilot.common.prefix import OpenpilotPrefix
from openpilot.selfdrive.controls.controlsd import Controls
from openpilot.starpilot.tests import test_vehicle_preferences as startup
from openpilot.starpilot.lateral.tests import test_lane_runtime as lane
from opendbc.car import gen_empty_fingerprint, structs
from opendbc.car.ford.new_port_curvature import qualified, create_controller
from opendbc.car.ford.tests.test_three_ports import params as factory
from opendbc.car.ford.values import CAR, FordFlags
from opendbc.safety.tests import test_ford_aol as physical
from opendbc.safety.tests.libsafety import libsafety_py
PROFILES = (CAR.FORD_EDGE_MK2, CAR.FORD_MONDEO_MK5)
class TestNewPortCurvature(unittest.TestCase):
def test_exact_existing_factory_profiles_and_no_namespace_or_topology_inference(self):
for identity in PROFILES:
for alpha, release in ((False, False), (True, False), (False, True), (True, True)):
cp = factory(identity, alpha, release)
expected_long = bool(alpha and (identity == CAR.FORD_EDGE_MK2 or not release))
self.assertTrue(cp.pcmCruise)
self.assertEqual(cp.openpilotLongitudinalControl, expected_long)
self.assertEqual(cp.safetyConfigs[-1].safetyParam, (8 if identity == CAR.FORD_EDGE_MK2 else 10) + int(expected_long))
self.assertTrue(qualified(cp))
self.assertIsNotNone(create_controller(cp))
original = cp.to_bytes()
cp.clear_write_flag()
create_controller(cp)
self.assertEqual(cp.to_bytes(), original)
cp.clear_write_flag()
for field, value in (("passive", True), ("dashcamOnly", True), ("notCar", True), ("alternativeExperience", 64),
("pcmCruise", False), ("openpilotLongitudinalControl", not expected_long)):
with structs.CarParams.from_bytes(original) as prior:
changed = prior.as_builder()
setattr(changed, field, value)
self.assertFalse(qualified(changed))
for word in (0, 2, 12, 18, 32, 66, 128, 130, 65535):
with structs.CarParams.from_bytes(original) as prior:
changed = prior.as_builder()
changed.safetyConfigs[-1].safetyParam = word
self.assertIsNone(create_controller(changed))
cp.alternativeExperience = 32
self.assertTrue(qualified(cp))
cp.safetyConfigs = [cp.safetyConfigs[-1], cp.safetyConfigs[-1]]
self.assertFalse(qualified(cp))
self.assertIsNone(create_controller(factory(CAR.FORD_TRANSIT_MK5)))
self.assertIsNone(create_controller(factory(CAR.FORD_BRONCO_SPORT_MK1)))
def test_saved_card_controls_actual_parser_provider_sender_and_native_both_signs(self):
safety = libsafety_py.libsafety
for identity in PROFILES:
for direction in (-1, 1):
with self.subTest(identity=identity, direction=direction), OpenpilotPrefix(), \
patch.dict(os.environ, {"REPLAY": "1", "SIMULATION": "1"}), \
patch("openpilot.selfdrive.controls.controlsd.messaging.PubMaster"):
saved = Params()
helper = startup.TestVehicleStartupPreferences()
helper.setUp()
helper.params = saved
native = physical.TestFordAolDriverIntent()
try:
for key, value in (("OpenpilotEnabledToggle", True), ("SafeMode", False), ("AlwaysOnLateral", False),
("AlphaLongitudinalEnabled", False), ("IsReleaseBranch", False)):
saved.put_bool(key, value, block=True)
observed = gen_empty_fingerprint()
observed[0][0x5A] = 8
observed[2].update({0x3D6: 8, 0x186: 8})
host, constructed, cp = helper.start(identity, key="FordHumanTurnDetection", observed=observed,
capture=lambda ci: (ci.CP.safetyConfigs[-1].safetyParam, ci.CC.new_port_curvature is not None))
self.assertEqual(constructed, [(8 if identity == CAR.FORD_EDGE_MK2 else 10, True)])
self.assertEqual(host.CI.CP.to_dict(), cp.to_dict())
self.assertTrue(qualified(cp))
owner = host.CI.CC.new_port_curvature
inputs = host.CI.CC.manual_turn_inputs
self.assertIsNotNone(inputs)
inputs.sm = messaging.SubMaster(["modelV2", "lateralDelay"])
host.sm = messaging.SubMaster(["carControl"])
controls = Controls()
native.setUp()
native.word, native.tick = cp.safetyConfigs[-1].safetyParam, 0
safety.set_alternative_experience(0)
self.assertEqual(safety.set_safety_hooks(structs.CarParams.SafetyModel.ford, native.word), 0)
safety.init_tests()
received, sent, active_curvatures = [], [], []
def rx(name, values, *, native=native, received=received):
self.assertLessEqual(set(values), set(native.packer.dbc.name_to_msg[name].sigs))
frame = native.packer.make_can_msg(name, 0, values)
addr, data, bus = frame
self.assertTrue(safety.safety_rx_hook(libsafety_py.make_CANPacket(addr, bus, data)))
received.append(frame)
host.publish_sendcan = lambda frames, valid=True, sent=sent: sent.extend(frames) if valid else self.fail("Invalid Card trace")
host.ci_initialized = True
host.CI.update([])
saw_human_zero = saw_fault_zero = saw_stale_model = saw_rate_neutral = False
for tick in range(600):
received.clear()
with patch.object(native, "rx", rx):
native.pump(1, main=0 if tick < 30 else 4, speed=15.)
now = (1_000_000 + native.tick * 10_000) * 1000
pressed = 100 <= tick < 430
fault = 460 <= tick < 480
extra: list[tuple[str, int, dict[str, float]]] = [("Cluster_Info1_FD1", 0, {"AccEnbl_B_RqDrv": 1}),
("BodyInfo_3_FD1", 0, {}), ("RCMStatusMessage2_FD1", 0, {"FirstRowBuckleDriver": 1}),
("INSTRUMENT_PANEL", 0, {}), ("IPMA_Data", 2, {}), ("ACCDATA", 2, {}),
("ACCDATA_2", 2, {}), ("ACCDATA_3", 2, {}),
("EPAS_INFO", 0, {"SteeringColumnTorque": 2 if pressed else 0, "EPAS_Failure": 2 if fault else 0})]
if cp.flags & FordFlags.ALT_STEER_ANGLE:
extra += [("ParkAid_Data", 0, {"ExtSteeringAngleReq2": 60 if pressed else 0, "EPASExtAngleStatReq": 0, "ApaSys_D_Stat": 0}),
("SteeringPinion_Data_Alt", 0, {"StePinRelInit_An_Sns": 60 if pressed else 0})]
else:
extra += [("SteeringPinion_Data", 0, {"StePinComp_An_Est": 60 if pressed else 0, "StePinCompAnEst_D_Qf": 3})]
host_sources = [native.packer.make_can_msg(name, bus, values) for name, bus, values in extra]
for addr, data, bus in host_sources:
self.assertTrue(safety.safety_rx_hook(libsafety_py.make_CANPacket(addr, bus, data)))
received.extend(host_sources)
state = host.CI.update([(now, list(received))])
if tick < 40:
continue
self.assertTrue(state.canValid)
self.assertFalse(state.canTimeout)
self.assertTrue(safety.get_controls_allowed())
with patch("openpilot.starpilot.controller_extensions.time.monotonic_ns", return_value=now), \
patch("openpilot.selfdrive.car.card.time.monotonic", return_value=now / 1e9), \
patch.object(inputs.sm, "update", return_value=None):
feed_events = []
with patch.object(controls.sm, "update_msgs", side_effect=lambda _, events, collector=feed_events: collector.extend(events)):
lane.feed(controls, now, tick, speed=15.)
car_state = messaging.new_message("carState", valid=True, logMonoTime=now)
car_state.carState = state
preview = messaging.new_message("modelV2", valid=True, logMonoTime=now)
preview.modelV2 = lane.model()
preview.modelV2.action.desiredCurvature = direction * .0002
predicted = .012 + (tick - 430) * .0002 if 430 <= tick < 460 else .0012
preview.modelV2.orientationRate.z = [direction * predicted * 15.] * 33
delay = messaging.new_message("lateralDelay", valid=True, logMonoTime=now)
delay.lateralDelay.lateralDelay = .38
replacements = {"carState": car_state.as_reader(), "modelV2": preview.as_reader(), "lateralDelay": delay.as_reader()}
controls.sm.update_msgs(now / 1e9, [event for event in feed_events
if event.which() not in replacements] + list(replacements.values()))
if tick < 490:
inputs.sm.update_msgs(now / 1e9, [preview.as_reader(), delay.as_reader()])
command, controller_log = controls.state_control()
self.assertTrue(command.enabled)
control_events = []
def capture_control(service, event, collector=control_events):
if service == "carControl":
collector.append(messaging.log_from_bytes(event.to_bytes()))
with patch.object(controls.pm, "send", side_effect=capture_control):
controls.publish(command, controller_log)
self.assertEqual(len(control_events), 1)
self.assertEqual(control_events[0].carControl.to_dict(), command.to_dict())
self.assertEqual(control_events[0].valid, state.canValid)
host.sm.update_msgs(now / 1e9, control_events)
command = host.sm["carControl"]
host.can_log_mono_time = now
sent.clear()
host.controls_update(state, command)
if tick > 510:
self.assertIsNone(owner.model)
saw_stale_model = True
for addr, data, bus in sent:
if addr not in (0x3CA, 0x3D3, 0x3D6):
continue
self.assertTrue(safety.safety_tx_hook(libsafety_py.make_CANPacket(addr, bus, data)), (identity, tick, hex(addr)))
if addr == 0x3CA:
self.assertEqual(data[4] & 3, 0) # Existing neutral body, no extension announcement.
elif addr in (0x3D3, 0x3D6):
fd = addr == 0x3D6
mode = (data[0] >> 4) & 7 if fd else (data[4] >> 2) & 7
curvature = ((data[2] << 3) | (data[3] >> 5)) - 1000 if fd else ((data[0] << 3) | (data[1] >> 5)) - 1000
rate = (data[6] << 3) | (data[7] >> 5) if fd else ((data[1] & 31) << 8) | data[2]
self.assertEqual(rate, 1024 if fd else 4096)
if 430 <= tick < 460 and host.CI.CC.new_port_curvature_demand.curvature_rate != 0:
saw_rate_neutral = True
if 400 <= tick < 425:
self.assertEqual((mode, curvature), (0, 0))
saw_human_zero = True
if fault:
self.assertEqual((mode, curvature), (0, 0))
saw_fault_zero = True
if 70 <= tick < 100 and mode and curvature:
active_curvatures.append(curvature)
self.assertAlmostEqual(owner._curvature_lookahead(), .38, places=6)
self.assertGreater(direction * host.CI.CC.new_port_curvature_demand.curvature, .0002)
self.assertTrue(active_curvatures)
self.assertTrue(all(value * direction < 0 for value in active_curvatures))
self.assertTrue(saw_human_zero and saw_fault_zero and saw_stale_model and saw_rate_neutral)
self.assertEqual(Path(saved.get_param_path("FordHumanTurnDetection")).read_bytes(), b"1")
finally:
helper.doCleanups()
safety.set_alternative_experience(0)
safety.set_safety_hooks(structs.CarParams.SafetyModel.noOutput, 0)
@@ -55,6 +55,7 @@ class TestFordThreePorts(unittest.TestCase):
with self.subTest(candidate=candidate):
stock = params(candidate)
self.assertFalse(stock.openpilotLongitudinalControl)
self.assertAlmostEqual(stock.steerActuatorDelay, 0.05 if candidate == CAR.FORD_TRANSIT_MK5 else 0.22, places=7)
self.assertTrue(stock.safetyConfigs[-1].safetyParam & FordSafetyFlags.NEW_PORT)
self.assertFalse(stock.safetyConfigs[-1].safetyParam & FordSafetyFlags.LONG_CONTROL)
requested = params(candidate, alpha=True)
@@ -62,14 +63,16 @@ class TestFordThreePorts(unittest.TestCase):
self.assertTrue(requested.safetyConfigs[-1].safetyParam & FordSafetyFlags.LONG_CONTROL)
if candidate == CAR.FORD_MONDEO_MK5:
self.assertFalse(params(candidate, alpha=True, release=True).openpilotLongitudinalControl)
self.assertAlmostEqual(params(CAR.FORD_MUSTANG_MACH_E_MK1).steerActuatorDelay, 0.22, places=7)
self.assertFalse(params(CAR.FORD_BRONCO_SPORT_MK1).openpilotLongitudinalControl)
self.assertTrue(params(CAR.FORD_BRONCO_SPORT_MK1, alpha=True).openpilotLongitudinalControl)
def test_real_edge_angle_and_mondeo_gear_parsers(self):
for candidate, source_name, source_values in (
cases: tuple[tuple[CAR, str, dict[str, float]], ...] = (
(CAR.FORD_EDGE_MK2, "TransGearData", {"GearLvrPos_D_Actl": 4}),
(CAR.FORD_MONDEO_MK5, "Gear_Shift_by_Wire_FD1", {"TrnRng_D_RqGsm": 4}),
):
)
for candidate, source_name, source_values in cases:
with self.subTest(candidate=candidate):
cp = params(candidate)
self.assertEqual(cp.transmissionType, structs.CarParams.TransmissionType.automatic)
+1
View File
@@ -48,6 +48,7 @@ class FordSafetyFlags(IntFlag):
MACH_E_EXTENDED = 16
CLASSIC_EXTENDED = 32
EXPLORER_EXTENDED = CLASSIC_EXTENDED # Existing public profile spelling.
BLUEPILOT_ANGLE = 128
GENERIC_CANFD_EXTENDED = 64
+2 -1
View File
@@ -568,7 +568,7 @@ class CarController(CarControllerBase):
if self.CP.openpilotLongitudinalControl:
stock_steer_ready = (stock_steer_ready and CS.pedal_sensor_healthy and
0 < CS.pedal_sensor_ts_nanos <= now_nanos <= CS.pedal_sensor_ts_nanos + PEDAL_SENSOR_TIMEOUT_NS)
lat_active = CC.latActive and stock_steer_ready
lat_active = CC.latActive and stock_steer_ready and not CS.steering_authority.latched
# Steering (Active: 50Hz, inactive: 10Hz)
steer_step = self.params.STEER_STEP if lat_active else self.params.INACTIVE_STEER_STEP
@@ -605,6 +605,7 @@ class CarController(CarControllerBase):
self.apply_torque_last = apply_torque
idx = self.lka_steering_cmd_counter % 4
can_sends.append(gmcan.create_steering_control(self.packer_pt, CanBus.POWERTRAIN, apply_torque, idx, lat_active))
CS.steering_authority.command(now_nanos, lat_active)
status_bolt = self.CP.carFingerprint in NO_ACC_BOLT_CAR and (
is_bolt_present_no_acc_pedal_profile(self.CP) or is_bolt_pedal_removed_profile(self.CP))
+2
View File
@@ -1,3 +1,4 @@
from opendbc.car.gm.steering_authority import SteeringAuthority
from opendbc.car.gps import CarGpsTracker, get_car_gps_config
from opendbc.car.gm.values import gm_control_word, is_volt_one_pedal, camera_acc_pedal_profile, BrakeSource, volt_cc_pedal_profile
from opendbc.car.gm.values import is_volt_longitudinal, is_gm_auto_hold
@@ -35,6 +36,7 @@ BUTTONS_DICT = {CruiseButtons.RES_ACCEL: ButtonType.accelCruise, CruiseButtons.D
class CarState(CarStateBase):
def __init__(self, CP):
super().__init__(CP)
self.steering_authority = SteeringAuthority(CP)
self.car_gps_tracker = CarGpsTracker(CP)
self.car_gps_supported = self.car_gps_tracker.config is not None
self.hybrid_profile = malibu_hybrid_profile(CP)
+5 -2
View File
@@ -2,7 +2,7 @@
from math import fabs, exp
import numpy as np
from opendbc.car import get_safety_config, structs
from opendbc.car import Bus, get_safety_config, structs
from opendbc.car.pedal import supported_pedal_detected
from opendbc.car.gm.pedal_capability import pedal_candidate
from opendbc.car.common.conversions import Conversions as CV
@@ -50,6 +50,7 @@ class CarInterface(CarInterfaceBase):
return super().apply(c, now_nanos)
def update(self, can_packets):
self.CS.steering_authority.observe(can_packets)
if malibu_hybrid_profile(self.CP) is not None:
self.CS.hybrid_buttons.observe_packets(can_packets)
if (is_bolt_pedal_removed_profile(self.CP) or is_bolt_pedal_removed_profile(self.CP, stock_only=True)):
@@ -63,7 +64,9 @@ class CarInterface(CarInterfaceBase):
if is_conventional_cc_pedal_profile(self.CP):
self.CS.conventional_cancel_credit.observe(can_packets)
if not is_bolt_cc_profile(self.CP):
return super().update(can_packets)
ret = super().update(can_packets)
self.CS.steering_authority.update(ret, self.can_parsers[Bus.pt]._last_update_nanos)
return ret
adaptive = (self.CP.carFingerprint == CAR.CHEVROLET_BOLT_ACC_2022_2023_PEDAL and
self.CP.safetyConfigs[0].safetyParam == 0xC140)
camera_source = getattr(self, "bolt_cc_camera_observed", (0, b""))
@@ -0,0 +1,168 @@
from opendbc.car import structs
from opendbc.car.gm.values import GMFlags, camera_acc_pedal_profile, is_volt_ascm_longitudinal
# PSCMStatus is expected at 10 Hz. Three periods bound first acquisition and missing feedback.
EPS_STATUS_TIMEOUT_NS = 300_000_000
STEERING_COMMAND_TIMEOUT_NS = 100_000_000
ButtonType = structs.CarState.ButtonEvent.Type
def monitored_profile(CP: structs.CarParams) -> bool:
return (is_volt_ascm_longitudinal(CP) and camera_acc_pedal_profile(CP) is None and
not CP.flags & GMFlags.PEDAL_LONG)
class SteeringAuthority:
def __init__(self, CP: structs.CarParams):
self.enabled = monitored_profile(CP)
self.min_speed = CP.minSteerSpeed
self.latched = False
self.command_active = False
self.neutral_since_ns = 0
self.seen_active = False
self.last_active_ns = 0
self.active_since_ns = 0
self.command_edge_ns = 0
self.acquire_since_ns = 0
self.status_ns = 0
self.status = -1
self.bad_since_ns = 0
self.bad_samples = 0
self.last_sample_ns = 0
self.disable_ns = 0
self.neutral_ns = 0
self.main_off = False
self.source_ns: dict[int, int] = {}
def observe(self, can_packets):
if not self.enabled:
return
self.source_ns.clear()
malformed = any(bus == 0 and address == 0x184 and (stamp <= 0 or len(data) != 8)
for stamp, packets in can_packets for address, data, bus in packets)
lengths = {0xC9: 8, 0xBE: 6, 0xBD: 7, 0x1E1: 7}
invalid = {address for stamp, packets in can_packets for address, data, bus in packets
if bus == 0 and address in lengths and (stamp <= 0 or len(data) != lengths[address])}
for address in invalid:
self.source_ns.pop(address, None)
for stamp, packets in can_packets:
for address, data, bus in packets:
if bus != 0 or stamp <= 0:
continue
if address in lengths and address not in invalid:
self.source_ns[address] = max(stamp, self.source_ns.get(address, 0))
if address == 0x184 and stamp > self.status_ns:
if self.active_since_ns and stamp - max(self.status_ns, self.active_since_ns) > EPS_STATUS_TIMEOUT_NS:
self.latched = True
self.status_ns = stamp
self.status = -1 if malformed else (data[0] >> 3) & 7
def command(self, now_ns: int, active: bool):
if not self.enabled:
return
if not active and self.command_active:
self.neutral_since_ns = now_ns
if active:
if not self.command_active:
self.command_edge_ns = now_ns
# A measured inactive response to emitted neutral requires active acquisition.
# Retain episode/feed history, and never renew an acquisition on brief edges.
if (not self.acquire_since_ns and self.neutral_since_ns and
self.neutral_since_ns < self.status_ns <= now_ns and
now_ns - self.status_ns <= EPS_STATUS_TIMEOUT_NS and self.status == 0):
self.acquire_since_ns = now_ns
# A sustained emitted neutral with healthy inactive feedback is a new acquisition.
# Brief withdrawals retain the confirmed episode; a fault latch never clears here.
if (not self.latched and self.neutral_since_ns and
now_ns - self.neutral_since_ns >= EPS_STATUS_TIMEOUT_NS and
0 < self.status_ns <= now_ns and now_ns - self.status_ns <= EPS_STATUS_TIMEOUT_NS and
self.status in (0, 1)):
self.seen_active = False
self.active_since_ns = 0
self.acquire_since_ns = now_ns
self.bad_since_ns = self.bad_samples = 0
self.last_sample_ns = self.status_ns
self.neutral_since_ns = 0
self.command_active = active
if active:
self.last_active_ns = now_ns
if not self.active_since_ns:
self.active_since_ns = now_ns
elif self.disable_ns and now_ns > self.disable_ns:
self.neutral_ns = now_ns
def update(self, CS: structs.CarState, now_ns: int):
if not self.enabled:
return
healthy = CS.canValid and not CS.canTimeout
def fresh(address):
stamp = self.source_ns.get(address, 0)
return 0 < stamp <= now_ns and now_ns - stamp <= STEERING_COMMAND_TIMEOUT_NS
main_fresh = fresh(0xC9)
buttons_fresh = fresh(0x1E1)
pedal_fresh = (CS.brakePressed and (main_fresh or fresh(0xBE)) or
CS.regenBraking and fresh(0xBD))
cancel = buttons_fresh and any(b.type == ButtonType.cancel and b.pressed for b in CS.buttonEvents)
if self.latched and healthy:
if pedal_fresh or cancel or main_fresh and not CS.cruiseState.available:
if not self.disable_ns:
self.disable_ns = now_ns
self.main_off |= main_fresh and not CS.cruiseState.available
physical_enable = buttons_fresh and self.source_ns[0x1E1] > self.neutral_ns and CS.buttonEnable
main_enable = self.main_off and main_fresh and self.source_ns[0xC9] > self.neutral_ns and CS.cruiseState.available
if (self.neutral_ns > self.disable_ns > 0 and (physical_enable or main_enable) and
CS.cruiseState.available and not CS.brakePressed and not CS.regenBraking):
self.latched = False
self.disable_ns = self.neutral_ns = 0
self.main_off = False
self.last_active_ns = self.active_since_ns = self.acquire_since_ns = 0
self.seen_active = False
self.bad_since_ns = self.bad_samples = 0
deliberate_pause = (pedal_fresh or cancel or main_fresh and not CS.cruiseState.available or
CS.standstill or CS.vEgo < self.min_speed or CS.steeringPressed or
self.status in (2, 3) and 0 < self.status_ns <= now_ns and
now_ns - self.status_ns <= EPS_STATUS_TIMEOUT_NS)
if healthy and deliberate_pause and not self.latched:
self.seen_active = False
self.command_active = False
self.last_active_ns = self.active_since_ns = self.acquire_since_ns = 0
self.bad_since_ns = self.bad_samples = 0
self.last_sample_ns = self.status_ns
# A missing EPS feed must retain a fault even after host health gates emit neutral.
if (self.active_since_ns and not self.latched and
now_ns - max(self.status_ns, self.active_since_ns) > EPS_STATUS_TIMEOUT_NS):
self.latched = True
recent_command = 0 < self.last_active_ns <= now_ns and now_ns - self.last_active_ns <= STEERING_COMMAND_TIMEOUT_NS
eligible = ((healthy or self.status == -1) and self.command_active and recent_command and CS.cruiseState.available and
not CS.brakePressed and not CS.regenBraking and not cancel and
not CS.standstill and CS.vEgo >= self.min_speed and not CS.steeringPressed)
fresh_status = 0 < self.status_ns <= now_ns and now_ns - self.status_ns <= EPS_STATUS_TIMEOUT_NS
if eligible and fresh_status and self.status_ns > max(self.active_since_ns, self.command_edge_ns) and self.status_ns != self.last_sample_ns:
self.last_sample_ns = self.status_ns
if self.status == 1:
self.acquire_since_ns = 0
self.seen_active = True
self.bad_since_ns = self.bad_samples = 0
elif self.status not in (2, 3):
if not self.bad_since_ns:
self.bad_since_ns = self.status_ns
self.bad_samples += 1
if self.seen_active and (self.status != 0 or not self.acquire_since_ns):
self.latched = True
else:
self.bad_since_ns = self.bad_samples = 0
# A confirmed neutral acquisition has a fixed deadline, even if repeated edges
# place every inactive sample before the latest active command.
if eligible and self.acquire_since_ns and now_ns - self.acquire_since_ns >= EPS_STATUS_TIMEOUT_NS:
self.latched = True
if (eligible and self.bad_samples >= 2 and self.bad_since_ns and
now_ns - max(self.active_since_ns, self.acquire_since_ns) >= EPS_STATUS_TIMEOUT_NS):
self.latched = True
if not recent_command or CS.steeringPressed or CS.standstill or CS.vEgo < self.min_speed:
self.bad_since_ns = self.bad_samples = 0
if self.latched:
CS.steerFaultTemporary = True
@@ -1,9 +1,11 @@
import unittest
from opendbc.can import CANPacker
from opendbc.car import Bus
from opendbc.car import Bus, structs
from opendbc.car import gen_empty_fingerprint
from opendbc.car.gm.carstate import CarState
from opendbc.car.gm import gmcan
from opendbc.car.gm.values import CruiseButtons
from opendbc.car.gm.interface import CarInterface
from opendbc.car.gm.fingerprints import FINGERPRINTS, FW_VERSIONS
from opendbc.car.gm.values import ASCM_INTERCEPT_CAR, CAR, DBC, GMSafetyFlags, CarControllerParams
@@ -22,6 +24,298 @@ def params(car, *, sascm=False, accelerator=True, radar=False, alpha=False, rele
class TestAscmIntercept(unittest.TestCase):
def authority_frame(self, ci, packer, tick, *, status=1, active=True, main=True,
regen=False, brake=False, button=CruiseButtons.UNPRESS, driver=0., speed=8., torque=0.02,
malformed=False, physical_delay_ns=0, eps_missing=False, now_ns=None, eps_stamp_ns=None, emit_eps=None):
now = 1_000_000_000 + tick * 10_000_000 if now_ns is None else now_ns
values = {
'ECMCruiseControl': {'CruiseActive': 0},
'ECMEngineStatus': {'CruiseMainOn': int(main), 'BrakePressed': int(brake)},
'AcceleratorPedal2': {'CruiseState': 0},
'ECMPRDNL2': {'PRNDL2': 4},
'EBCMWheelSpdRear': {'RLWheelSpd': speed * 3.6, 'RRWheelSpd': speed * 3.6, 'RLWheelDir': 1, 'RRWheelDir': 1},
'EBCMWheelSpdFront': {'FLWheelSpd': speed * 3.6, 'FRWheelSpd': speed * 3.6},
'ESPStatus': {'TractionControlOn': 1},
'BCMDoorBeltStatus': {'LeftSeatBelt': 1},
'BCMGeneralPlatformStatus': {}, 'BCMTurnSignals': {}, 'PSCMSteeringAngle': {},
'ECMAcceleratorPos': {'BrakePedalPos': 30 if brake else 0},
'EBCMFrictionBrakeStatus': {}, 'EBCMRegenPaddle': {'RegenPaddle': int(regen)},
}
packets = [packer.make_can_msg(name, 0, signals) for name, signals in values.items()]
packets += [gmcan.create_buttons(packer, 0, tick % 4, button),
packer.make_can_msg('ASCMLKASteeringCmd', 2, {}),
packer.make_can_msg('ASCMActiveCruiseControlStatus', 2, {}),
packer.make_can_msg('AEBCmd', 2, {})]
eps_packets = []
if (tick % 10 == 0 if emit_eps is None else emit_eps) and not eps_missing:
pscm = packer.make_can_msg('PSCMStatus', 0, {'LKATorqueDeliveredStatus': status,
'LKADriverAppldTrq': driver, 'LKATorqueDelivered': 0})
if malformed:
packets.append((0x184, b'\x00', 0))
eps_packets.append(pscm)
physical = [packet for packet in packets if packet[0] in (0xC9, 0xBE, 0xBD, 0x1E1)]
other = [packet for packet in packets if packet[0] not in (0xC9, 0xBE, 0xBD, 0x1E1)]
cs = ci.update(sorted([(now - physical_delay_ns, physical), (now, other),
(now if eps_stamp_ns is None else eps_stamp_ns, eps_packets)], key=lambda packet: packet[0]))
if tick >= 10 and not eps_missing:
self.assertTrue(cs.canValid, (tick, status))
self.assertFalse(cs.canTimeout, tick)
cc = structs.CarControl()
cc.enabled = active
cc.latActive = active
cc.actuators.torque = torque
cc.hudControl.setSpeed = 30
_, sends = ci.apply(cc.as_reader(), now)
steering = [data for address, data, bus in sends if address == 0x180 and bus == 0]
if steering:
self.assertEqual(bool((steering[-1][0] >> 3) & 1), active and not ci.CS.steering_authority.latched, tick)
return cs
def test_volt_steering_loss_requires_driver_rearm(self):
for reset in ('regen', 'brake', 'cancel', 'set', 'main'):
with self.subTest(reset=reset):
cp = params(CAR.CHEVROLET_VOLT_ASCM, sascm=True, alpha=True, radar=True)
ci, packer = CarInterface(cp), CANPacker(DBC[cp.carFingerprint][Bus.pt])
for tick in range(30):
self.authority_frame(ci, packer, tick)
self.assertTrue(ci.CS.steering_authority.seen_active)
# One emitted neutral frame must not erase the confirmed EPS episode.
for tick in range(30, 34):
self.authority_frame(ci, packer, tick, active=False)
for tick in range(34, 41):
cs = self.authority_frame(ci, packer, tick, status=0)
self.assertTrue(cs.steerFaultTemporary)
self.assertTrue(ci.CS.steering_authority.latched)
for tick in range(41, 60):
cs = self.authority_frame(ci, packer, tick, active=False)
self.assertTrue(cs.steerFaultTemporary) # EPS recovery/automatic CC off cannot rearm.
for tick in range(60, 70):
self.authority_frame(ci, packer, tick, active=False, main=reset != 'main',
regen=reset == 'regen', brake=reset == 'brake',
button=CruiseButtons.CANCEL if reset == 'cancel' else CruiseButtons.UNPRESS)
cs = self.authority_frame(ci, packer, 70, active=False, physical_delay_ns=200_000_000 if reset == 'main' else 1_000_000,
button=CruiseButtons.DECEL_SET if reset == 'set' else
CruiseButtons.RES_ACCEL if reset != 'main' else CruiseButtons.UNPRESS)
if reset in ('set', 'main'):
self.assertTrue(cs.steerFaultTemporary, reset)
cs = self.authority_frame(ci, packer, 71, active=False)
resume_tick = 72
if reset == 'set':
# SET alone is not the physical disable required to reset a loss latch.
self.assertTrue(cs.steerFaultTemporary, reset)
self.assertTrue(ci.CS.steering_authority.latched, reset)
self.assertEqual(ci.CS.steering_authority.disable_ns, 0, reset)
for tick in range(72, 82):
self.authority_frame(ci, packer, tick, active=False, regen=True)
self.assertGreater(ci.CS.steering_authority.neutral_ns, ci.CS.steering_authority.disable_ns, reset)
cs = self.authority_frame(ci, packer, 82, active=False, button=CruiseButtons.DECEL_SET)
self.assertTrue(cs.steerFaultTemporary, reset)
cs = self.authority_frame(ci, packer, 83, active=False)
resume_tick = 84
context = (reset, cs.buttonEnable, cs.brakePressed, cs.regenBraking,
ci.CS.steering_authority.disable_ns, ci.CS.steering_authority.neutral_ns)
self.assertFalse(cs.steerFaultTemporary, context)
self.assertFalse(ci.CS.steering_authority.latched, context)
for tick in range(resume_tick, resume_tick + 20):
self.authority_frame(ci, packer, tick)
self.assertTrue(ci.CS.steering_authority.seen_active, context)
def test_volt_steering_acquisition_and_invalid_status(self):
for status, malformed in ((0, False), (4, False), (1, True)):
with self.subTest(status=status, malformed=malformed):
cp = params(CAR.CHEVROLET_VOLT_ASCM, sascm=True, alpha=True, radar=True)
ci, packer = CarInterface(cp), CANPacker(DBC[cp.carFingerprint][Bus.pt])
for tick in range(30):
cs = self.authority_frame(ci, packer, tick, status=status, malformed=malformed)
self.assertFalse(cs.steerFaultTemporary, tick)
for tick in range(30, 41):
cs = self.authority_frame(ci, packer, tick, status=status, malformed=malformed)
self.assertTrue(cs.steerFaultTemporary)
self.assertTrue(ci.CS.steering_authority.latched)
cp = params(CAR.CHEVROLET_VOLT_ASCM, sascm=True, alpha=True, radar=True)
ci, packer = CarInterface(cp), CANPacker(DBC[cp.carFingerprint][Bus.pt])
for tick in range(30):
self.authority_frame(ci, packer, tick)
for tick in range(30, 70):
cs = self.authority_frame(ci, packer, tick, active=tick < 40, eps_missing=True)
self.assertTrue(cs.steerFaultTemporary)
for tick in range(70, 90):
cs = self.authority_frame(ci, packer, tick, active=False)
self.assertTrue(cs.steerFaultTemporary) # Fresh EPS does not erase a missing-feed latch.
# A total receive gap cannot conceal a stale EPS episode on the first fresh return.
cp = params(CAR.CHEVROLET_VOLT_ASCM, sascm=True, alpha=True, radar=True)
ci, packer = CarInterface(cp), CANPacker(DBC[cp.carFingerprint][Bus.pt])
for tick in range(30):
self.authority_frame(ci, packer, tick)
cs = self.authority_frame(ci, packer, 70)
self.assertTrue(cs.steerFaultTemporary)
self.assertTrue(ci.CS.steering_authority.latched)
def test_volt_steering_healthy_zero_and_existing_faults(self):
for status, active, speed, driver in ((1, True, 8., 0.), (0, False, 8., 0.),
(0, True, 0., 0.), (0, True, 8., 3.),
(2, True, 8., 0.), (3, True, 8., 0.)):
with self.subTest(status=status, active=active, speed=speed, driver=driver):
cp = params(CAR.CHEVROLET_VOLT_ASCM, sascm=True, alpha=True, radar=True)
ci, packer = CarInterface(cp), CANPacker(DBC[cp.carFingerprint][Bus.pt])
for tick in range(60):
cs = self.authority_frame(ci, packer, tick, status=status, active=active, speed=speed, driver=driver,
torque=0. if status == 1 else 0.02)
self.assertFalse(ci.CS.steering_authority.latched)
self.assertEqual(cs.steerFaultTemporary, status == 2)
self.assertEqual(cs.steerFaultPermanent, status == 3)
# A genuine driver pause starts a new acquisition window, unlike an unexplained brief CC drop.
for pause in ('regen', 'brake', 'cancel', 'main', 'override', 'standstill'):
with self.subTest(pause=pause):
cp = params(CAR.CHEVROLET_VOLT_ASCM, sascm=True, alpha=True, radar=True)
ci, packer = CarInterface(cp), CANPacker(DBC[cp.carFingerprint][Bus.pt])
for tick in range(30):
self.authority_frame(ci, packer, tick)
for tick in range(30, 50):
cs = self.authority_frame(ci, packer, tick, status=0, active=False,
regen=pause == 'regen', brake=pause == 'brake', main=pause != 'main',
button=CruiseButtons.CANCEL if pause == 'cancel' else CruiseButtons.UNPRESS,
driver=3. if pause == 'override' else 0., speed=0. if pause == 'standstill' else 8.)
self.assertFalse(cs.steerFaultTemporary)
for tick in range(50, 70):
cs = self.authority_frame(ci, packer, tick, status=0 if tick < 65 else 1)
self.assertFalse(cs.steerFaultTemporary, tick)
for tick in range(70, 80):
cs = self.authority_frame(ci, packer, tick)
self.assertFalse(cs.steerFaultTemporary, tick)
self.assertTrue(ci.CS.steering_authority.seen_active)
# Ordinary temporary EPS faults retain their normal recovery/acquisition behavior.
cp = params(CAR.CHEVROLET_VOLT_ASCM, sascm=True, alpha=True, radar=True)
ci, packer = CarInterface(cp), CANPacker(DBC[cp.carFingerprint][Bus.pt])
for tick in range(30):
self.authority_frame(ci, packer, tick)
for tick in range(30, 50):
cs = self.authority_frame(ci, packer, tick, status=2, active=False)
self.assertTrue(cs.steerFaultTemporary)
self.assertFalse(ci.CS.steering_authority.latched)
for tick in range(50, 80):
cs = self.authority_frame(ci, packer, tick, status=0 if tick < 65 else 1)
self.assertFalse(cs.steerFaultTemporary, tick)
self.assertTrue(ci.CS.steering_authority.seen_active)
for cp in (params(CAR.CHEVROLET_VOLT_ASCM), params(CAR.CHEVROLET_VOLT),
params(CAR.CHEVROLET_BOLT_EUV)):
self.assertFalse(CarState(cp).steering_authority.enabled)
def test_volt_steering_neutral_reacquisition(self):
for recovered in (True, False):
with self.subTest(recovered=recovered):
cp = params(CAR.CHEVROLET_VOLT_ASCM, sascm=True, alpha=True, radar=True)
ci, packer = CarInterface(cp), CANPacker(DBC[cp.carFingerprint][Bus.pt])
for tick in range(30):
self.authority_frame(ci, packer, tick)
self.assertTrue(ci.CS.steering_authority.seen_active)
for tick in range(30, 90):
cs = self.authority_frame(ci, packer, tick, active=False, status=1 if tick < 50 else 0)
self.assertFalse(cs.steerFaultTemporary, tick)
self.assertTrue(ci.CS.steering_authority.seen_active)
for tick in range(90, 120):
cs = self.authority_frame(ci, packer, tick, status=1 if recovered and tick >= 105 else 0)
self.assertFalse(cs.steerFaultTemporary, (recovered, tick))
for tick in range(120, 131):
cs = self.authority_frame(ci, packer, tick, status=1 if recovered else 0)
self.assertEqual(cs.steerFaultTemporary, not recovered)
self.assertEqual(ci.CS.steering_authority.latched, not recovered)
if recovered:
self.assertTrue(ci.CS.steering_authority.seen_active)
else:
for tick in range(131, 180):
cs = self.authority_frame(ci, packer, tick, active=False)
self.assertTrue(cs.steerFaultTemporary)
self.assertTrue(ci.CS.steering_authority.latched)
for tick in range(180, 200):
cs = self.authority_frame(ci, packer, tick)
self.assertTrue(cs.steerFaultTemporary, tick)
self.assertTrue(ci.CS.steering_authority.latched)
def test_volt_route24_eps_sample_before_resumed_command(self):
# Route 24: 163.588 ms between active sends, 131.971 ms of emitted neutral.
# Exercise the actual interface/parser/controller path; do not assign monitor history.
for subsequent_status in (1, 0, 3, -1, "edge-zero"):
with self.subTest(subsequent_status=subsequent_status):
cp = params(CAR.CHEVROLET_VOLT_ASCM, sascm=True, alpha=True, radar=True)
ci, packer = CarInterface(cp), CANPacker(DBC[cp.carFingerprint][Bus.pt])
for tick in range(30):
self.authority_frame(ci, packer, tick, now_ns=232_790_000_000 + tick * 10_000_000)
self.assertTrue(ci.CS.steering_authority.seen_active)
timeline = ((233_179_157_875, True, None, 1),
(233_195_000_000, True, 233_182_155_170, 1),
(233_203_000_000, False, None, 1),
(233_210_774_096, False, None, 1),
(233_230_000_000, False, None, 1),
(233_243_000_000, False, None, 1),
(233_253_611_922, False, None, 1),
(233_267_000_000, False, None, 1),
(233_274_000_000, False, None, 1),
(233_281_143_669, False, None, 1),
(233_298_000_000, False, 233_282_094_035, 0),
(233_306_000_000, False, None, 0),
(233_314_029_085, False, None, 0),
(233_328_000_000, True, None, 0),
(233_335_000_000, True, None, 0),
(233_342_745_540, True, None, 0),
(233_346_666_621, True, None, 0))
for tick, (now, active, stamp, status) in enumerate(timeline, 30):
cs = self.authority_frame(ci, packer, tick, now_ns=now, active=active, status=status,
emit_eps=stamp is not None, eps_stamp_ns=stamp)
self.assertFalse(ci.CS.steering_authority.latched, (now, stamp))
self.assertFalse(cs.steerFaultTemporary, now)
monitor = ci.CS.steering_authority
self.assertTrue(monitor.seen_active) # Short neutral retains genuine fault history.
self.assertEqual(monitor.command_edge_ns, 233_342_745_540)
self.assertEqual(monitor.status_ns, 233_282_094_035)
self.assertEqual(monitor.acquire_since_ns, 233_342_745_540)
if subsequent_status == "edge-zero":
# Every 10Hz zero arrives during emitted neutral, before the next resume.
# Thus no post-edge bad sample is counted; short edges must not renew 300ms.
self.authority_frame(ci, packer, 47, now_ns=233_360_000_000, active=False, emit_eps=False)
self.authority_frame(ci, packer, 48, now_ns=233_370_000_000, active=False, emit_eps=False)
self.authority_frame(ci, packer, 49, now_ns=233_386_000_000, active=False,
status=0, emit_eps=True, eps_stamp_ns=233_382_063_562)
for tick in range(50, 76):
now = 233_386_000_000 + (tick - 49) * 10_000_000
active = 50 <= tick <= 52 or 60 <= tick <= 61 or tick >= 70
cs = self.authority_frame(ci, packer, tick, now_ns=now, active=active,
status=0, emit_eps=tick in (59, 69),
eps_stamp_ns=now - 5_000_000)
self.assertEqual(monitor.acquire_since_ns, 233_342_745_540, now)
self.assertEqual(monitor.bad_samples, 0, now)
self.assertEqual(monitor.latched, now >= 233_642_745_540, now)
self.assertTrue(cs.steerFaultTemporary)
continue
# The next measured inactive status arrives 39ms after resume; normal response
# is active at 138ms. A permanently inactive response must still fault at 300ms.
cs = self.authority_frame(ci, packer, 47, now_ns=233_386_000_000,
status=0, emit_eps=True, eps_stamp_ns=233_382_063_562)
self.assertFalse(monitor.latched)
self.assertFalse(cs.steerFaultTemporary)
for tick in range(48, 57):
self.authority_frame(ci, packer, tick, now_ns=233_386_000_000 + (tick - 47) * 10_000_000,
emit_eps=False)
cs = self.authority_frame(ci, packer, 57, now_ns=233_486_000_000,
status=max(0, subsequent_status), malformed=subsequent_status == -1,
emit_eps=True, eps_stamp_ns=233_481_278_455)
self.assertEqual(monitor.latched, subsequent_status == -1)
self.assertEqual(cs.steerFaultPermanent, subsequent_status == 3)
if subsequent_status in (3, -1):
continue
for tick in range(58, 74):
now = 233_486_000_000 + (tick - 57) * 10_000_000
cs = self.authority_frame(ci, packer, tick, now_ns=now,
status=subsequent_status, emit_eps=tick == 67,
active=not (subsequent_status == 0 and 62 <= tick < 69))
if subsequent_status == 0:
self.assertEqual(monitor.acquire_since_ns, 233_342_745_540, now)
self.assertEqual(monitor.latched, subsequent_status == 0 and now >= 233_642_745_540, now)
self.assertEqual(cs.steerFaultTemporary, subsequent_status == 0)
self.assertTrue(monitor.seen_active)
def test_eight_manual_ids_have_stock_acc_default(self):
self.assertEqual(len(ASCM_INTERCEPT_CAR), 8)
for car in ASCM_INTERCEPT_CAR:
@@ -34,7 +328,7 @@ class TestAscmIntercept(unittest.TestCase):
self.assertAlmostEqual(cp.minEnableSpeed, -1. if car == CAR.CADILLAC_ESCALADE_ESV_2019_ASCM else 5 / 3.6, places=6)
self.assertTrue(cp.safetyConfigs[0].safetyParam & GMSafetyFlags.ASCM_INTERCEPT)
self.assertFalse(cp.safetyConfigs[0].safetyParam & GMSafetyFlags.HW_CAM_LONG)
self.assertEqual(car.config.car_docs, [])
self.assertEqual(car.config.car_docs[0].support_type.value, "Community")
self.assertNotIn(car, FINGERPRINTS)
self.assertNotIn(car, FW_VERSIONS)
@@ -130,7 +130,7 @@ class TestCcGatewayStock(unittest.TestCase):
def test_manual_identity_and_stock_ownership(self):
self.assertEqual(len(CC_GATEWAY_STOCK_CAR), 9)
for car in CC_GATEWAY_STOCK_CAR:
self.assertEqual(car.config.car_docs, [])
self.assertEqual(car.config.car_docs[0].support_type.value, "Community")
automatic = {CAR.CADILLAC_CT6_CC, CAR.CADILLAC_XT5_CC, CAR.CHEVROLET_EQUINOX_CC,
CAR.CHEVROLET_MALIBU_CC, CAR.CHEVROLET_SUBURBAN_CC, CAR.CHEVROLET_TRAILBLAZER_CC}
self.assertEqual(car in FINGERPRINTS, car in automatic)
@@ -37,7 +37,7 @@ class TestSdgmStock(unittest.TestCase):
self.assertTrue(flags & GMSafetyFlags.SDGM)
self.assertFalse(flags & GMSafetyFlags.HW_CAM_LONG)
self.assertEqual(cp.radarUnavailable, not radar)
self.assertEqual(car.config.car_docs, [])
self.assertEqual(car.config.car_docs[0].support_type.value, "Community")
self.assertNotIn(car, FINGERPRINTS)
self.assertNotIn(car, FW_VERSIONS)
@@ -48,6 +48,7 @@ class TestSuburbanGateway(unittest.TestCase):
from opendbc.can import CANPacker
from opendbc.car import Bus
from opendbc.car.gm.carcontroller import CarController
from opendbc.car.gm.carstate import CarState
fp = gen_empty_fingerprint()
fp[1][0x460] = 8
cp = CarInterface.get_params(CAR.CHEVROLET_SUBURBAN, fp, [], False, False, False)
@@ -72,7 +73,8 @@ class TestSuburbanGateway(unittest.TestCase):
state = structs.CarState(vEgo=12)
state.cruiseState.available = True
cs = SimpleNamespace(out=state.as_reader(), cam_lka_steering_cmd_counter=0, loopback_lka_steering_cmd_updated=False,
loopback_lka_steering_cmd_ts_nanos=1_000_000_000, pt_lka_steering_cmd_counter=0)
loopback_lka_steering_cmd_ts_nanos=1_000_000_000, pt_lka_steering_cmd_counter=0,
steering_authority=CarState(cp).steering_authority)
seen = 0
for frame in range(100):
control = structs.CarControl(enabled=True, latActive=True, longActive=True)
@@ -98,6 +98,18 @@ class TestVoltAlternateBrake(unittest.TestCase):
brake=brake, gas=gas, camera=cp.networkLocation == structs.CarParams.NetworkLocation.fwdCamera and
not is_volt_camera_removed(cp))
packets = [packet for packet in packets if packet[0] not in (0xBE, 0xF1, 0x1C4)]
if ci.CS.steering_authority.enabled:
packets = [packet for packet in packets if packet[0] != 0x184]
eps_status = 1 if active else 0
packets.append(packer.make_can_msg('PSCMStatus', 0, {'LKATorqueDeliveredStatus': eps_status}))
# The forwarded EPS status reflects the healthy input; all other frozen bytes stay exact.
expected = [message.copy() for message in expected]
for message in expected:
if message[0] == 0x184:
data = bytearray.fromhex(message[1])
self.assertEqual(data[0] & 0x38, 0)
data[0] |= eps_status << 3
message[1] = data.hex()
packets.append(packer.make_can_msg('AcceleratorPedal2', 0, {'CruiseState': 2 if active else 0,
'AcceleratorPedal2': 30 if gas else 0}))
if be:
+149 -112
View File
@@ -5,7 +5,7 @@ from types import MappingProxyType
from opendbc.car import Bus, PlatformConfig, DbcDict, Platforms, CarSpecs
from opendbc.car.structs import CarParams
from opendbc.car.docs_definitions import CarDocs, CarFootnote, CarHarness, CarParts, Column
from opendbc.car.docs_definitions import CarDocs, CarFootnote, CarHarness, CarParts, Column, SupportType
from opendbc.car.fw_query_definitions import FwQueryConfig, Request, StdQueries
Ecu = CarParams.Ecu
@@ -140,6 +140,14 @@ class GMFlags(IntFlag):
VOLT_CAMERA_NO_ACCEL_POS = NO_ACCELERATOR_POS_MSG
_GM_CONTROL_FLAGS_MASK = ~int(GMFlags.HAS_BSM)
_GM_PEDAL_LONG_FLAG = int(GMFlags.PEDAL_LONG)
_GM_NO_CAMERA_FLAG = int(GMFlags.NO_CAMERA)
_GM_NO_ACCELERATOR_POS_FLAG = int(GMFlags.NO_ACCELERATOR_POS_MSG)
_BOLT_REMOVED_CONTROL_FLAGS = _GM_PEDAL_LONG_FLAG | _GM_NO_CAMERA_FLAG
_CC_PEDAL_ALLOWED_FLAGS = _BOLT_REMOVED_CONTROL_FLAGS | _GM_NO_ACCELERATOR_POS_FLAG
VOLT_ONE_PEDAL_BASE_WORDS = (0x4084, 0xC084, 0x4287, 0x4687, 0x4A87, 0x4E87, 0x4087, 0x5087, 0x5487, 0xC1D1, 0xC1D3)
VOLT_ONE_PEDAL_WORDS = {start + index: word for start in (0xD100, 0xD110)
for index, word in enumerate(VOLT_ONE_PEDAL_BASE_WORDS)}
@@ -159,7 +167,7 @@ def gm_control_word(cp: CarParams) -> int:
hybrid = malibu_hybrid_profile(cp)
if hybrid is not None:
return 5 | (8 if hybrid.pedal and hybrid.longitudinal else 0)
if is_bolt_pedal_removed_profile(cp) or is_bolt_pedal_removed_profile(cp, stock_only=True):
if word in _BOLT_REMOVED_SAFETY_WORDS and (is_bolt_pedal_removed_profile(cp) or is_bolt_pedal_removed_profile(cp, stock_only=True)):
return int(BOLT_PEDAL_STOCK_WORDS[cp.carFingerprint] if not cp.openpilotLongitudinalControl else BOLT_PEDAL_WORDS[cp.carFingerprint])
if word in VOLT_CC_PEDAL_PROFILES and volt_cc_pedal_profile(cp) is not None:
return 5
@@ -217,7 +225,7 @@ def apply_volt_one_pedal(cp: CarParams, enabled: bool, auto_hold_enabled: bool)
def control_flags(cp: CarParams) -> int:
"""Exclude only the informational BSM bit from exact control-profile admission."""
flags = int(cp.flags) & ~int(GMFlags.HAS_BSM)
flags = int(cp.flags) & _GM_CONTROL_FLAGS_MASK
profile = camera_acc_pedal_profile(cp)
if profile is not None and profile.volt:
flags &= ~int(GMFlags.PEDAL_LONG)
@@ -451,7 +459,10 @@ class GMCarDocs(CarDocs):
package: str = "Adaptive Cruise Control (ACC)"
def init_make(self, CP: CarParams):
if CP.networkLocation == CarParams.NetworkLocation.fwdCamera:
if (CP.carFingerprint in ASCM_INTERCEPT_CAR or CP.carFingerprint in CC_GATEWAY_STOCK_CAR or
CP.carFingerprint in (CAR.CHEVROLET_VOLT_CC, CAR.CHEVROLET_MALIBU_HYBRID_CC)):
self.car_parts = CarParts.common([CarHarness.custom])
elif CP.networkLocation == CarParams.NetworkLocation.fwdCamera:
if CP.carFingerprint in SDGM_CAR:
self.car_parts = CarParts.common([CarHarness.gmsdgm])
else:
@@ -461,6 +472,13 @@ class GMCarDocs(CarDocs):
self.car_parts = CarParts.common([CarHarness.obd_ii])
@dataclass
class GMCommunityCarDocs(GMCarDocs):
merged: bool = False
support_type: SupportType = SupportType.COMMUNITY
support_link: str = "#community"
@dataclass(frozen=True, kw_only=True)
class GMCarSpecs(CarSpecs):
tireStiffnessFactor: float = 0.444 # not optimized yet
@@ -475,105 +493,81 @@ class GMPlatformConfig(PlatformConfig):
})
@dataclass
class GMASCMPlatformConfig(GMPlatformConfig):
def init(self):
# ASCM is supported, but due to a janky install and hardware configuration, we are not showing in the car docs
self.car_docs = []
@dataclass
class GMSDGMPlatformConfig(GMPlatformConfig):
def init(self):
# Don't show in docs until the harness is sold. See https://github.com/commaai/openpilot/issues/32471
self.car_docs = []
@dataclass
class GMCCGatewayPlatformConfig(GMPlatformConfig):
def init(self):
# Manual-only identities; installation and route evidence is not available.
self.car_docs = []
@dataclass
class GMCameraStockPlatformConfig(GMPlatformConfig):
def init(self):
# Explicit identities pending independent install and route qualification.
self.car_docs = []
class CAR(Platforms):
HOLDEN_ASTRA = GMASCMPlatformConfig(
[GMCarDocs("Holden Astra 2017")],
HOLDEN_ASTRA = GMPlatformConfig(
[GMCommunityCarDocs("Holden Astra (OBD-II Harness) 2017")],
GMCarSpecs(mass=1363, wheelbase=2.662, steerRatio=15.7, centerToFrontRatio=0.4),
)
CHEVROLET_VOLT = GMASCMPlatformConfig(
[GMCarDocs("Chevrolet Volt 2017-18", min_enable_speed=0, video="https://youtu.be/QeMCN_4TFfQ")],
CHEVROLET_VOLT = GMPlatformConfig(
[GMCarDocs("Chevrolet Volt (OBD-II Harness) 2017-18", support_type=SupportType.COMMUNITY, support_link="#community",
min_enable_speed=0, video="https://youtu.be/QeMCN_4TFfQ")],
GMCarSpecs(mass=1607, wheelbase=2.69, steerRatio=15.7, centerToFrontRatio=0.45, tireStiffnessFactor=1.0),
)
CHEVROLET_VOLT_CC = GMPlatformConfig(
[], # Manual development identity; no fingerprint, firmware alias or public driving claim.
[GMCarDocs("Chevrolet Volt (CC)", "Manual development configuration; installation must be verified",
merged=False, support_type=SupportType.COMMUNITY, support_link="#community")],
CHEVROLET_VOLT.specs, dbc_dict=CHEVROLET_VOLT.dbc_dict,
)
CHEVROLET_VOLT_ASCM = GMASCMPlatformConfig(
[GMCarDocs("Chevrolet Volt ASCM Harness 2017-18")], CHEVROLET_VOLT.specs,
CHEVROLET_VOLT_ASCM = GMPlatformConfig(
[GMCarDocs("Chevrolet Volt (ASCM Harness) 2017-18", "Adaptive Cruise Control (ACC); custom ASCM harness install",
support_type=SupportType.COMMUNITY, support_link="#community")], CHEVROLET_VOLT.specs,
)
CADILLAC_ATS = GMASCMPlatformConfig(
[GMCarDocs("Cadillac ATS Premium Performance 2018")],
CADILLAC_ATS = GMPlatformConfig(
[GMCommunityCarDocs("Cadillac ATS Premium Performance (OBD-II Harness) 2018")],
GMCarSpecs(mass=1601, wheelbase=2.78, steerRatio=15.3),
)
CHEVROLET_MALIBU = GMASCMPlatformConfig(
[GMCarDocs("Chevrolet Malibu Premier 2017")],
CHEVROLET_MALIBU = GMPlatformConfig(
[GMCommunityCarDocs("Chevrolet Malibu Premier (OBD-II Harness) 2017")],
GMCarSpecs(mass=1496, wheelbase=2.83, steerRatio=15.8, centerToFrontRatio=0.4),
)
CHEVROLET_MALIBU_ASCM = GMASCMPlatformConfig(
[GMCarDocs("Chevrolet Malibu ASCM Harness 2017-19")], CHEVROLET_MALIBU.specs,
CHEVROLET_MALIBU_ASCM = GMPlatformConfig(
[GMCommunityCarDocs("Chevrolet Malibu (ASCM Harness) 2017-19")], CHEVROLET_MALIBU.specs,
)
GMC_ACADIA = GMASCMPlatformConfig(
[GMCarDocs("GMC Acadia 2018", video="https://www.youtube.com/watch?v=0ZN6DdsBUZo")],
GMC_ACADIA = GMPlatformConfig(
[GMCommunityCarDocs("GMC Acadia (OBD-II Harness) 2018", video="https://www.youtube.com/watch?v=0ZN6DdsBUZo")],
GMCarSpecs(mass=1975, wheelbase=2.86, steerRatio=14.4, centerToFrontRatio=0.4),
)
GMC_ACADIA_ASCM = GMASCMPlatformConfig(
[GMCarDocs("GMC Acadia ASCM Harness 2018")], GMC_ACADIA.specs,
GMC_ACADIA_ASCM = GMPlatformConfig(
[GMCommunityCarDocs("GMC Acadia (ASCM Harness) 2018")], GMC_ACADIA.specs,
)
BUICK_LACROSSE = GMASCMPlatformConfig(
[GMCarDocs("Buick LaCrosse 2017-19", "Driver Confidence Package 2")],
BUICK_LACROSSE = GMPlatformConfig(
[GMCommunityCarDocs("Buick LaCrosse (OBD-II Harness) 2017-19", "Driver Confidence Package 2")],
GMCarSpecs(mass=1712, wheelbase=2.91, steerRatio=15.8, centerToFrontRatio=0.4),
)
BUICK_LACROSSE_ASCM = GMASCMPlatformConfig(
[GMCarDocs("Buick LaCrosse ASCM Harness 2017-19")], BUICK_LACROSSE.specs,
BUICK_LACROSSE_ASCM = GMPlatformConfig(
[GMCommunityCarDocs("Buick LaCrosse (ASCM Harness) 2017-19")], BUICK_LACROSSE.specs,
)
BUICK_LACROSSE_ASCM_19US = GMASCMPlatformConfig(
[GMCarDocs("Buick LaCrosse US ASCM Harness 2019")], BUICK_LACROSSE.specs,
BUICK_LACROSSE_ASCM_19US = GMPlatformConfig(
[GMCommunityCarDocs("Buick LaCrosse US (ASCM Harness) 2019")], BUICK_LACROSSE.specs,
)
BUICK_REGAL = GMASCMPlatformConfig(
[GMCarDocs("Buick Regal Essence 2018")],
BUICK_REGAL = GMPlatformConfig(
[GMCommunityCarDocs("Buick Regal Essence (OBD-II Harness) 2018")],
GMCarSpecs(mass=1714, wheelbase=2.83, steerRatio=14.4, centerToFrontRatio=0.4),
)
CADILLAC_ESCALADE = GMASCMPlatformConfig(
[GMCarDocs("Cadillac Escalade 2017", "Driver Assist Package")],
CADILLAC_ESCALADE = GMPlatformConfig(
[GMCommunityCarDocs("Cadillac Escalade (OBD-II Harness) 2017", "Driver Assist Package")],
GMCarSpecs(mass=2564, wheelbase=2.95, steerRatio=17.3),
)
CADILLAC_ESCALADE_ASCM = GMASCMPlatformConfig(
[GMCarDocs("Cadillac Escalade ASCM Harness 2018")], CADILLAC_ESCALADE.specs,
CADILLAC_ESCALADE_ASCM = GMPlatformConfig(
[GMCommunityCarDocs("Cadillac Escalade (ASCM Harness) 2018")], CADILLAC_ESCALADE.specs,
)
CADILLAC_ESCALADE_ESV = GMASCMPlatformConfig(
[GMCarDocs("Cadillac Escalade ESV 2016", "Adaptive Cruise Control (ACC) & LKAS")],
CADILLAC_ESCALADE_ESV = GMPlatformConfig(
[GMCommunityCarDocs("Cadillac Escalade ESV (OBD-II Harness) 2016", "Adaptive Cruise Control (ACC) & LKAS")],
GMCarSpecs(mass=2739, wheelbase=3.302, steerRatio=17.3, tireStiffnessFactor=1.0),
)
CADILLAC_ESCALADE_ESV_2019 = GMASCMPlatformConfig(
[GMCarDocs("Cadillac Escalade ESV 2019", "Adaptive Cruise Control (ACC) & LKAS")],
CADILLAC_ESCALADE_ESV_2019 = GMPlatformConfig(
[GMCommunityCarDocs("Cadillac Escalade ESV (OBD-II Harness) 2019", "Adaptive Cruise Control (ACC) & LKAS")],
CADILLAC_ESCALADE_ESV.specs,
)
CADILLAC_ESCALADE_ESV_2019_ASCM = GMASCMPlatformConfig(
[GMCarDocs("Cadillac Escalade ESV Platinum ASCM Harness 2019")], CADILLAC_ESCALADE_ESV_2019.specs,
CADILLAC_ESCALADE_ESV_2019_ASCM = GMPlatformConfig(
[GMCommunityCarDocs("Cadillac Escalade ESV Platinum (ASCM Harness) 2019")], CADILLAC_ESCALADE_ESV_2019.specs,
)
CHEVROLET_SUBURBAN = GMPlatformConfig(
[], CarSpecs(mass=2731, wheelbase=3.302, steerRatio=17.3, centerToFrontRatio=0.49),
[GMCommunityCarDocs("Chevrolet Suburban (OBD-II Harness)", "Configuration-specific install; observed CAN sources required")],
CarSpecs(mass=2731, wheelbase=3.302, steerRatio=17.3, centerToFrontRatio=0.49),
)
CHEVROLET_SUBURBAN_ASCM = GMASCMPlatformConfig(
[GMCarDocs("Chevrolet Suburban Premier ASCM Harness 2016-20")],
CHEVROLET_SUBURBAN_ASCM = GMPlatformConfig(
[GMCommunityCarDocs("Chevrolet Suburban Premier (ASCM Harness) 2016-20")],
CHEVROLET_SUBURBAN.specs,
)
CHEVROLET_BOLT_EUV = GMPlatformConfig(
@@ -583,7 +577,10 @@ class CAR(Platforms):
],
GMCarSpecs(mass=1669, wheelbase=2.63779, steerRatio=16.8, centerToFrontRatio=0.4, tireStiffnessFactor=1.0),
)
CHEVROLET_BOLT_ACC_2022_2023 = GMCameraStockPlatformConfig([], CHEVROLET_BOLT_EUV.specs)
CHEVROLET_BOLT_ACC_2022_2023 = GMPlatformConfig(
[GMCommunityCarDocs("Chevrolet Bolt (Camera Harness) 2022-23", "ACC; recognized camera layout required")],
CHEVROLET_BOLT_EUV.specs,
)
CHEVROLET_BOLT_CC_2017 = GMPlatformConfig(
[GMCarDocs("Chevrolet Bolt EV 2017", "Cruise control with installed pedal interceptor")],
CHEVROLET_BOLT_EUV.specs,
@@ -617,63 +614,95 @@ class CAR(Platforms):
[GMCarDocs("Chevrolet Trailblazer 2021-22")],
GMCarSpecs(mass=1345, wheelbase=2.64, steerRatio=16.8, centerToFrontRatio=0.4, tireStiffnessFactor=1.0),
)
CADILLAC_XT4 = GMSDGMPlatformConfig(
[GMCarDocs("Cadillac XT4 2023", "Driver Assist Package")],
CADILLAC_XT4 = GMPlatformConfig(
[GMCommunityCarDocs("Cadillac XT4 (SDGM Harness) 2023", "Driver Assist Package")],
GMCarSpecs(mass=1660, wheelbase=2.78, steerRatio=14.4, centerToFrontRatio=0.4),
)
CADILLAC_XT5 = GMSDGMPlatformConfig(
[GMCarDocs("Cadillac XT5 2022", "Driver Assist Package")],
CADILLAC_XT5 = GMPlatformConfig(
[GMCommunityCarDocs("Cadillac XT5 (SDGM Harness) 2022", "Driver Assist Package")],
GMCarSpecs(mass=1810, wheelbase=2.86, steerRatio=16.34, centerToFrontRatio=0.5, tireStiffnessFactor=1.0),
)
CADILLAC_XT6 = GMSDGMPlatformConfig(
[GMCarDocs("Cadillac XT6 2020", "Driver Assist Package")],
CADILLAC_XT6 = GMPlatformConfig(
[GMCommunityCarDocs("Cadillac XT6 (SDGM Harness) 2020", "Driver Assist Package")],
GMCarSpecs(mass=2050, wheelbase=2.86, steerRatio=16.5, centerToFrontRatio=0.4),
)
CHEVROLET_BLAZER = GMSDGMPlatformConfig(
[GMCarDocs("Chevrolet Blazer 2019-25", "Driver Assist Package")],
CHEVROLET_BLAZER = GMPlatformConfig(
[GMCommunityCarDocs("Chevrolet Blazer (SDGM Harness) 2019-25", "Driver Assist Package")],
GMCarSpecs(mass=1850, wheelbase=3.10, steerRatio=17.9, centerToFrontRatio=0.4, tireStiffnessFactor=1.0),
)
CHEVROLET_VOLT_2019 = GMSDGMPlatformConfig(
[GMCarDocs("Chevrolet Volt 2019", "Adaptive Cruise Control (ACC) & LKAS")],
CHEVROLET_VOLT_2019 = GMPlatformConfig(
[GMCarDocs("Chevrolet Volt (SDGM Harness) 2019", "Adaptive Cruise Control (ACC) & LKAS",
support_type=SupportType.COMMUNITY, support_link="#community")],
GMCarSpecs(mass=1607, wheelbase=2.69, steerRatio=15.7, centerToFrontRatio=0.45),
)
CHEVROLET_TRAVERSE = GMSDGMPlatformConfig(
[GMCarDocs("Chevrolet Traverse 2022-23", "RS, Premier, or High Country Trim")],
CHEVROLET_TRAVERSE = GMPlatformConfig(
[GMCommunityCarDocs("Chevrolet Traverse (SDGM Harness) 2022-23", "RS, Premier, or High Country Trim")],
GMCarSpecs(mass=1955, wheelbase=3.07, steerRatio=17.9, centerToFrontRatio=0.4),
)
CHEVROLET_MALIBU_SDGM = GMSDGMPlatformConfig(
[GMCarDocs("Chevrolet Malibu 2019", "SDGM Harness")],
CHEVROLET_MALIBU_SDGM = GMPlatformConfig(
[GMCommunityCarDocs("Chevrolet Malibu (SDGM Harness) 2019", "SDGM Harness")],
CHEVROLET_MALIBU.specs,
)
BUICK_BABYENCLAVE = GMSDGMPlatformConfig(
[GMCarDocs("Buick Baby Enclave 2020-23", "Driver Assist Package")],
BUICK_BABYENCLAVE = GMPlatformConfig(
[GMCommunityCarDocs("Buick Baby Enclave (SDGM Harness) 2020-23", "Driver Assist Package")],
GMCarSpecs(mass=2050, wheelbase=2.86, steerRatio=16.0, centerToFrontRatio=0.5, tireStiffnessFactor=1.0),
)
GMC_YUKON = GMPlatformConfig(
[GMCarDocs("GMC Yukon 2019-20", "Adaptive Cruise Control (ACC) & LKAS")],
GMCarSpecs(mass=2490, wheelbase=2.94, steerRatio=17.3, centerToFrontRatio=0.5, tireStiffnessFactor=1.0),
)
CHEVROLET_SUBURBAN_CAMERA = GMCameraStockPlatformConfig(
[], CarSpecs(mass=2731, wheelbase=3.302, steerRatio=17.3, centerToFrontRatio=0.49),
CHEVROLET_SUBURBAN_CAMERA = GMPlatformConfig(
[GMCommunityCarDocs("Chevrolet Suburban (Camera Harness)", "Manual camera configuration; recognized CAN layout required")],
CarSpecs(mass=2731, wheelbase=3.302, steerRatio=17.3, centerToFrontRatio=0.49),
)
CHEVROLET_TRAX = GMCameraStockPlatformConfig(
[], CarSpecs(mass=1365, wheelbase=2.7, steerRatio=16.4, centerToFrontRatio=0.4),
CHEVROLET_TRAX = GMPlatformConfig(
[GMCommunityCarDocs("Chevrolet Trax (Camera Harness)", "Manual camera configuration; recognized CAN layout required")],
CarSpecs(mass=1365, wheelbase=2.7, steerRatio=16.4, centerToFrontRatio=0.4),
)
CHEVROLET_VOLT_CAMERA = GMCameraStockPlatformConfig(
[], GMCarSpecs(mass=1607, wheelbase=2.69, steerRatio=15.7, centerToFrontRatio=0.45, tireStiffnessFactor=1.0),
CHEVROLET_VOLT_CAMERA = GMPlatformConfig(
[GMCarDocs("Chevrolet Volt (Camera Harness)", "Manual configuration; recognized camera layout required",
merged=False, support_type=SupportType.COMMUNITY, support_link="#community")],
GMCarSpecs(mass=1607, wheelbase=2.69, steerRatio=15.7, centerToFrontRatio=0.45, tireStiffnessFactor=1.0),
dbc_dict=CHEVROLET_VOLT.dbc_dict,
)
CADILLAC_CT6_CC = GMCCGatewayPlatformConfig([], GMCarSpecs(mass=2358, wheelbase=3.11, steerRatio=17.7, centerToFrontRatio=0.4, tireStiffnessFactor=1.0))
CADILLAC_XT4_CC = GMCCGatewayPlatformConfig([], CADILLAC_XT4.specs)
CADILLAC_XT5_CC = GMCCGatewayPlatformConfig([], replace(CADILLAC_XT5.specs, tireStiffnessFactor=1.0))
CHEVROLET_EQUINOX_CC = GMCCGatewayPlatformConfig([], CHEVROLET_EQUINOX.specs)
CHEVROLET_MALIBU_HYBRID_CC = GMPlatformConfig([], GMCarSpecs(mass=1450, wheelbase=2.8, steerRatio=15.8, centerToFrontRatio=0.4))
CHEVROLET_MALIBU_CC = GMCCGatewayPlatformConfig([], GMCarSpecs(mass=1450, wheelbase=2.8, steerRatio=18.25,
centerToFrontRatio=0.4, tireStiffnessFactor=0.997))
CHEVROLET_SILVERADO_CC = GMCCGatewayPlatformConfig([], GMCarSpecs(mass=2994, wheelbase=3.75, steerRatio=16.3, tireStiffnessFactor=1.0))
CHEVROLET_SUBURBAN_CC = GMCCGatewayPlatformConfig([], replace(CHEVROLET_SUBURBAN_ASCM.specs, tireStiffnessFactor=1.0))
CHEVROLET_TRAILBLAZER_CC = GMCCGatewayPlatformConfig([], CHEVROLET_TRAILBLAZER.specs)
GMC_YUKON_CC = GMCCGatewayPlatformConfig([], GMCarSpecs(mass=2541, wheelbase=2.95, steerRatio=16.3, centerToFrontRatio=0.4, tireStiffnessFactor=1.0))
CADILLAC_CT6_CC = GMPlatformConfig(
[GMCommunityCarDocs("Cadillac CT6 (CC)", "Cruise control; configuration-specific installation")],
GMCarSpecs(mass=2358, wheelbase=3.11, steerRatio=17.7, centerToFrontRatio=0.4, tireStiffnessFactor=1.0),
)
CADILLAC_XT4_CC = GMPlatformConfig([GMCommunityCarDocs("Cadillac XT4 (CC)", "Cruise control; configuration-specific installation")], CADILLAC_XT4.specs)
CADILLAC_XT5_CC = GMPlatformConfig(
[GMCommunityCarDocs("Cadillac XT5 (CC)", "Cruise control; configuration-specific installation")],
replace(CADILLAC_XT5.specs, tireStiffnessFactor=1.0),
)
CHEVROLET_EQUINOX_CC = GMPlatformConfig(
[GMCommunityCarDocs("Chevrolet Equinox (CC)", "Cruise control; configuration-specific installation")],
CHEVROLET_EQUINOX.specs,
)
CHEVROLET_MALIBU_HYBRID_CC = GMPlatformConfig(
[GMCommunityCarDocs("Chevrolet Malibu Hybrid (CC)", "Cruise control; configuration-specific installation")],
GMCarSpecs(mass=1450, wheelbase=2.8, steerRatio=15.8, centerToFrontRatio=0.4),
)
CHEVROLET_MALIBU_CC = GMPlatformConfig(
[GMCommunityCarDocs("Chevrolet Malibu (CC)", "Cruise control; configuration-specific installation")],
GMCarSpecs(mass=1450, wheelbase=2.8, steerRatio=18.25,
centerToFrontRatio=0.4, tireStiffnessFactor=0.997),
)
CHEVROLET_SILVERADO_CC = GMPlatformConfig(
[GMCommunityCarDocs("Chevrolet Silverado (CC)", "Cruise control; configuration-specific installation")],
GMCarSpecs(mass=2994, wheelbase=3.75, steerRatio=16.3, tireStiffnessFactor=1.0),
)
CHEVROLET_SUBURBAN_CC = GMPlatformConfig(
[GMCommunityCarDocs("Chevrolet Suburban (CC)", "Cruise control; configuration-specific installation")],
replace(CHEVROLET_SUBURBAN_ASCM.specs, tireStiffnessFactor=1.0),
)
CHEVROLET_TRAILBLAZER_CC = GMPlatformConfig(
[GMCommunityCarDocs("Chevrolet Trailblazer (CC)", "Cruise control; configuration-specific installation")],
CHEVROLET_TRAILBLAZER.specs,
)
GMC_YUKON_CC = GMPlatformConfig(
[GMCommunityCarDocs("GMC Yukon (CC)", "Cruise control; configuration-specific installation")],
GMCarSpecs(mass=2541, wheelbase=2.95, steerRatio=16.3, centerToFrontRatio=0.4, tireStiffnessFactor=1.0),
)
class CruiseButtons:
@@ -846,16 +875,18 @@ BOLT_PEDAL_REMOVED_CARS = (CAR.CHEVROLET_BOLT_CC_2017, CAR.CHEVROLET_BOLT_CC_201
CAR.CHEVROLET_BOLT_CC_2022_2023, CAR.CHEVROLET_BOLT_ACC_2022_2023_PEDAL)
BOLT_PEDAL_REMOVED_WORDS = MappingProxyType({candidate: 0xE700 + index for index, candidate in enumerate(BOLT_PEDAL_REMOVED_CARS)})
BOLT_PEDAL_REMOVED_STOCK_WORDS = MappingProxyType({candidate: 0xE710 + index for index, candidate in enumerate(BOLT_PEDAL_REMOVED_CARS)})
_BOLT_REMOVED_SAFETY_WORDS = frozenset((*BOLT_PEDAL_REMOVED_WORDS.values(), *BOLT_PEDAL_REMOVED_STOCK_WORDS.values()))
def is_bolt_pedal_removed_profile(cp, *, stock_only=False):
words = BOLT_PEDAL_REMOVED_STOCK_WORDS if stock_only else BOLT_PEDAL_REMOVED_WORDS
try:
return (cp.brand == 'gm' and cp.carFingerprint in words and cp.transmissionType == CarParams.TransmissionType.direct and
return (cp.brand == 'gm' and cp.carFingerprint in words and
int(cp.flags) & _GM_CONTROL_FLAGS_MASK == _BOLT_REMOVED_CONTROL_FLAGS and
cp.transmissionType == CarParams.TransmissionType.direct and
cp.networkLocation == CarParams.NetworkLocation.fwdCamera and cp.radarUnavailable and
not (cp.passive or cp.dashcamOnly or cp.notCar or cp.alphaLongitudinalAvailable) and
bool(cp.openpilotLongitudinalControl) is not stock_only and bool(cp.pcmCruise) is stock_only and
int(cp.flags) & ~int(GMFlags.HAS_BSM) == int(GMFlags.PEDAL_LONG | GMFlags.NO_CAMERA) and
len(cp.safetyConfigs) == 1 and cp.safetyConfigs[0].safetyModel == CarParams.SafetyModel.gm and
int(cp.safetyConfigs[0].safetyParam) == words[cp.carFingerprint])
except (AttributeError, IndexError, TypeError, ValueError):
@@ -871,7 +902,7 @@ def is_bolt_pedal_profile(cp, *, stock_only=False):
cp.networkLocation == CarParams.NetworkLocation.fwdCamera and
not (cp.passive or cp.dashcamOnly or cp.notCar or cp.alphaLongitudinalAvailable) and
bool(cp.openpilotLongitudinalControl) is not stock_only and bool(cp.pcmCruise) is stock_only and
control_flags(cp) == GMFlags.PEDAL_LONG.value and len(cp.safetyConfigs) == 1 and
int(cp.flags) & _GM_CONTROL_FLAGS_MASK == _GM_PEDAL_LONG_FLAG and len(cp.safetyConfigs) == 1 and
cp.safetyConfigs[0].safetyModel == CarParams.SafetyModel.gm and
cp.safetyConfigs[0].safetyParam == words[cp.carFingerprint])
@@ -1071,13 +1102,15 @@ def volt_camera_pedal_word(profile, auto_hold: bool, one_pedal: bool) -> int:
def camera_acc_pedal_profile(cp):
try:
if cp.brand != 'gm' or cp.carFingerprint not in CAMERA_ACC_PEDAL_CAR:
return None
if len(cp.safetyConfigs) != 1:
return None
profile = CAMERA_ACC_PEDAL_PROFILES.get(int(cp.safetyConfigs[0].safetyParam))
if profile is None:
return None
flags = int(GMFlags.PEDAL_LONG | (GMFlags.NO_CAMERA if profile.removed else 0) |
(GMFlags.NO_ACCELERATOR_POS_MSG if profile.brake_source == BrakeSource.F1 else 0))
flags = (_GM_PEDAL_LONG_FLAG | (_GM_NO_CAMERA_FLAG if profile.removed else 0) |
(_GM_NO_ACCELERATOR_POS_FLAG if profile.brake_source == BrakeSource.F1 else 0))
identity = (CAR.CHEVROLET_VOLT if profile.topology == "gateway" else
CAR.CHEVROLET_VOLT_ASCM if profile.topology == "ascm" else
CAR.CHEVROLET_VOLT_2019 if profile.topology == "sdgm" else CAR.CHEVROLET_VOLT_CAMERA)
@@ -1086,7 +1119,7 @@ def camera_acc_pedal_profile(cp):
cp.networkLocation == CarParams.NetworkLocation.fwdCamera and (profile.volt or cp.radarUnavailable) and
(profile.topology != "gateway" or not cp.radarUnavailable) and
(profile.topology not in ("ascm", "sdgm") or profile.radar != cp.radarUnavailable) and
not cp.passive and not cp.dashcamOnly and not cp.notCar and int(cp.flags) & ~int(GMFlags.HAS_BSM) == flags and
not cp.passive and not cp.dashcamOnly and not cp.notCar and int(cp.flags) & _GM_CONTROL_FLAGS_MASK == flags and
cp.safetyConfigs[0].safetyModel == CarParams.SafetyModel.gm and
bool(cp.openpilotLongitudinalControl) == profile.longitudinal and
bool(cp.pcmCruise) == (not profile.longitudinal and profile.topology == "camera") and
@@ -1127,12 +1160,14 @@ def is_conventional_cc_pedal_profile(cp):
if is_silverado_cc_pedal_profile(cp):
return True
try:
if cp.brand != 'gm' or cp.carFingerprint not in ORDINARY_CC_CAR:
return False
flags = control_flags(cp)
removed = bool(flags & GMFlags.NO_CAMERA)
return (cp.brand == 'gm' and cp.carFingerprint in ORDINARY_CC_CAR and
cp.networkLocation == CarParams.NetworkLocation.fwdCamera and cp.radarUnavailable and
not cp.passive and not cp.dashcamOnly and not cp.notCar and
bool(flags & GMFlags.PEDAL_LONG) and not flags & ~int(GMFlags.PEDAL_LONG | GMFlags.NO_CAMERA | GMFlags.NO_ACCELERATOR_POS_MSG) and
bool(flags & _GM_PEDAL_LONG_FLAG) and not flags & ~_CC_PEDAL_ALLOWED_FLAGS and
not cp.pcmCruise and len(cp.safetyConfigs) == 1 and
cp.safetyConfigs[0].safetyModel == CarParams.SafetyModel.gm and
int(cp.safetyConfigs[0].safetyParam) ==
@@ -1147,13 +1182,15 @@ SILVERADO_CC_PEDAL_WORDS = ((0xC182, 0xC183), (0xC184, 0xC185))
def is_silverado_cc_pedal_profile(cp):
"""Exact Silverado interceptor owner, including its distinct stock cancellation."""
try:
if cp.brand != 'gm' or cp.carFingerprint != CAR.CHEVROLET_SILVERADO_CC:
return False
flags = control_flags(cp)
removed = bool(flags & GMFlags.NO_CAMERA)
word = SILVERADO_CC_PEDAL_WORDS[not cp.openpilotLongitudinalControl][removed]
return (cp.brand == 'gm' and cp.carFingerprint == CAR.CHEVROLET_SILVERADO_CC and
cp.networkLocation == CarParams.NetworkLocation.fwdCamera and cp.radarUnavailable and
not cp.passive and not cp.dashcamOnly and not cp.notCar and
bool(flags & GMFlags.PEDAL_LONG) and not flags & ~int(GMFlags.PEDAL_LONG | GMFlags.NO_CAMERA | GMFlags.NO_ACCELERATOR_POS_MSG) and
bool(flags & _GM_PEDAL_LONG_FLAG) and not flags & ~_CC_PEDAL_ALLOWED_FLAGS and
not cp.pcmCruise and not cp.alphaLongitudinalAvailable and len(cp.safetyConfigs) == 1 and
cp.safetyConfigs[0].safetyModel == CarParams.SafetyModel.gm and int(cp.safetyConfigs[0].safetyParam) == word)
except (AttributeError, IndexError, TypeError, ValueError):
+6 -1
View File
@@ -70,11 +70,16 @@ def temporary_restriction(cp, state):
(state.gearShifter not in (gears.drive, gears.sport, gears.low, gears.brake) or state.steerFaultTemporary))
def native_observation(native, *, latched, panda_ready, restricted, now_ns, pending_since_ns):
def native_observation(native, *, latched, panda_ready, restricted, now_ns, pending_since_ns,
previously_acknowledged=False, host_requested_lateral=False):
lost = not panda_ready or native is None
if not latched or lost or restricted:
return 0, lost, False
if native.requestedLateral and native.lateralAllowed:
return 0, False, False
if (previously_acknowledged and host_requested_lateral and
not native.requestedLateral and not native.lateralAllowed):
# A current host request lost an established grant, not a cold handshake.
return 0, False, True
pending_since_ns = pending_since_ns or now_ns
return pending_since_ns, False, now_ns - pending_since_ns >= 200_000_000
@@ -5,7 +5,7 @@ import pytest
from opendbc.car import gen_empty_fingerprint, structs
from opendbc.car.honda.interface import CarInterface
from opendbc.car.honda.stock_aol import CLASSIC_BOSCH, NIDEC, RADARLESS, qualified, temporary_restriction
from opendbc.car.honda.stock_aol import CLASSIC_BOSCH, NIDEC, RADARLESS, qualified, temporary_restriction, native_observation
from opendbc.car.honda.values import CAR, HondaFlags
from openpilot.starpilot.aol.intent import AolSettings, AOL_TOGGLE
from openpilot.starpilot.car.honda.aol import policy_for, create_intent, native_accepts_cp
@@ -347,6 +347,37 @@ def test_actual_card_active_observation_requires_fresh_applied_command(monkeypat
assert tick(previous=True, long=True)["standard_active"]
assert intent.allowed_latch # Actual normal long activity also proves active engagement.
# The actual Card caller consumes the acknowledged native permission. Its
# immediate rejection boundary remains strict; no host grace is extended.
tick(enabled=False)
cs = state(True)
native = replace(native, requestedLateral=True, lateralAllowed=True,
observedMonoTime=now + 10_000_000, validUntilMonoTime=now + 210_000_000)
tick(enabled=False)
assert not intent.allowed_latch # The previously active latch toggles OFF.
cs = state(False)
native = replace(native, observedMonoTime=now + 10_000_000)
tick(enabled=False)
cs = state(True)
native = replace(native, observedMonoTime=now + 10_000_000)
tick(enabled=False)
assert intent.allowed_latch # Release then a new physical press toggles ON.
cs = state(False)
native = replace(native, observedMonoTime=now + 10_000_000)
assert tick(enabled=False)["native_rejection_ns"] == 0
assert intent.allowed_latch
native = replace(native, lateralAllowed=False, observedMonoTime=now + 10_000_000)
observed_native = native.observedMonoTime
assert tick(enabled=False)["native_rejection_ns"] == observed_native
assert not intent.allowed_latch # Native denial immediately revokes independent intent.
native = replace(native, lateralAllowed=True, observedMonoTime=now + 10_000_000)
assert tick(enabled=False)["native_rejection_ns"] == 0
assert not intent.allowed_latch # Permission recovery alone cannot recreate a gesture.
cs = state(True)
native = replace(native, observedMonoTime=now + 10_000_000)
tick(enabled=False)
assert intent.allowed_latch # A genuinely new LKAS edge can arm again.
generic = AolCardIntent(intent.settings)
host.aol_card_intent = generic
@@ -357,3 +388,97 @@ def test_actual_card_active_observation_requires_fresh_applied_command(monkeypat
monkeypatch.setattr(generic, "update", generic_boundary)
with pytest.raises(BoundaryReached):
host.state_update()
@pytest.mark.parametrize("acknowledged,requested,reset", ((False, True, False), (True, True, True),
(True, False, False), (False, False, False)))
def test_native_cold_pending_vs_requested_ack_loss(acknowledged, requested, reset):
native = SimpleNamespace(requestedLateral=False, lateralAllowed=False)
result = native_observation(native, latched=True, panda_ready=True, restricted=False,
now_ns=1_000_000_000, pending_since_ns=0,
previously_acknowledged=acknowledged, host_requested_lateral=requested)
assert result == ((0, False, True) if reset else (1_000_000_000, False, False))
if not reset:
assert native_observation(native, latched=True, panda_ready=True, restricted=False,
now_ns=1_200_000_000, pending_since_ns=result[0],
previously_acknowledged=acknowledged, host_requested_lateral=requested) == (result[0], False, True)
@pytest.mark.parametrize("changed", ("cold", "session", "panda", "cp", "manual_off", "restriction",
"software_pause", "host_withdrawal", "invalid_axis", "stale_axis",
"replaced_producer", "older_native", "resuming_pause", "pending_pause", "requested_denial", "unpaired_event",
"fault_event", "invalid_event", "stale_event", "none"))
def test_actual_card_ack_loss_requires_current_requested_same_identity(changed):
from openpilot.selfdrive.car.card import Car
from openpilot.starpilot.aol.transport_pause import TransportPauseFeedback
from openpilot.starpilot.aol.wire import SafetyState
cp = final_cp(CAR.HONDA_CIVIC_2022, alpha=True, hybrid=True)
cp.alternativeExperience |= 32
now = 2_000_000_000
native = SafetyState(1, True, now, now + 200_000_000, int(cp.safetyConfigs[0].safetyModel.raw),
cp.safetyConfigs[0].safetyParam, True, False, True, False, "panda", "axis")
axis = SimpleNamespace(qualified=True, sessionId="axis", observedMonoTime=now, validUntilMonoTime=now+30_000_000,
faultSessionId="axis", faultReason="none", faultEventMonoTime=now, sequence=1,
nativeAcknowledged=True, desiredLateral=True, lateralActive=True, sourceCarStateMonoTime=now,
intentProducerSessionId="producer")
class Samples(dict):
pass
sm = Samples(aolAxisState=axis, onroadEvents=[])
sm.valid = sm.alive = sm.seen = {"aolAxisState": True, "onroadEvents": True}
sm.logMonoTime = {"aolAxisState": now, "onroadEvents": now}
host = Car.__new__(Car)
host.CP, host.sm, host.slc_producer_session = cp, sm, "producer"
host.aol_transport_feedback = TransportPauseFeedback(cp)
kwargs = dict(latched=True, panda_ready=True, restricted=False, now_ns=now, pending_since_ns=0)
assert host.aol_honda_native_observation(native, **kwargs) == (0, False, False)
if changed == "cold":
host._honda_aol_acknowledgment = None
elif changed == "session":
native = replace(native, axisSessionId="replacement")
elif changed == "panda":
native = replace(native, pandaSerial="replacement")
elif changed == "cp":
host.CP = final_cp(CAR.HONDA_CIVIC_2022, alpha=False, hybrid=True)
elif changed == "manual_off":
kwargs['latched'] = False
elif changed == "restriction":
kwargs['restricted'] = True
elif changed == "software_pause":
axis.faultReason = "availabilityPause"
host.aol_transport_feedback.retention_qualified = True
elif changed == "host_withdrawal":
axis.desiredLateral = False
elif changed == "invalid_axis":
sm.valid = {"aolAxisState": False}
elif changed == "stale_axis":
kwargs['now_ns'] += 40_000_000
elif changed == "replaced_producer":
axis.intentProducerSessionId = "replacement"
elif changed == "resuming_pause":
axis.lateralActive = False
elif changed == "pending_pause":
host.aol_transport_feedback.awaiting = True
elif changed == "unpaired_event":
axis.faultEventMonoTime -= 1
elif changed == "fault_event":
sm["onroadEvents"] = [SimpleNamespace(immediateDisable=True, softDisable=False)]
elif changed == "invalid_event":
sm.valid = {"aolAxisState": True, "onroadEvents": False}
elif changed == "stale_event":
axis.faultEventMonoTime = sm.logMonoTime["onroadEvents"] = now-1_500_000_001
elif changed == "older_native":
native = replace(native, observedMonoTime=now-1)
withdrawn = replace(native, requestedLateral=False, lateralAllowed=False)
if changed == "requested_denial":
withdrawn = replace(withdrawn, requestedLateral=True)
result = host.aol_honda_native_observation(withdrawn, **kwargs)
if changed == "none":
assert result == (0, False, True)
else:
assert not result[2] # No unexpected-loss cause is inferred from ambiguous zero.
if changed in ("manual_off", "restriction"):
assert result == (0, False, False)
if changed in ("cold", "session", "panda", "cp", "manual_off"):
assert host._honda_aol_acknowledgment is None
@@ -0,0 +1,36 @@
"""Selected safety slot for the exact first-generation captured CANFD owner."""
from opendbc.car.structs import CarParams
from opendbc.car.hyundai.values import CAR, HyundaiFlags
def topology_index(cp):
if len(cp.safetyConfigs) == 1:
return 0 if cp.safetyConfigs[0].safetyModel == CarParams.SafetyModel.hyundaiCanfd else None
if len(cp.safetyConfigs) != 2:
return None
auxiliary, owner = cp.safetyConfigs
required = HyundaiFlags.CANFD | HyundaiFlags.EV | HyundaiFlags.CANFD_LKA_STEER_MSG
excluded = (HyundaiFlags.CANFD_ANGLE_STEERING | HyundaiFlags.CANFD_LKA_STEER_MSG_ALT |
HyundaiFlags.CANFD_ALT_BUTTONS | HyundaiFlags.CANFD_CAMERA_SCC | HyundaiFlags.CCNC | HyundaiFlags.HYBRID)
if (cp.brand != 'hyundai' or cp.carFingerprint not in (CAR.KIA_EV6, CAR.GENESIS_GV70_ELECTRIFIED_1ST_GEN) or
cp.passive or cp.dashcamOnly or cp.notCar or cp.steerControlType != CarParams.SteerControlType.torque or
cp.flags & required != required or cp.flags & excluded or
auxiliary.safetyModel != CarParams.SafetyModel.noOutput or auxiliary.safetyParam != 0 or
owner.safetyModel != CarParams.SafetyModel.hyundaiCanfd):
return None
return 1
def config_index(cp):
owner = topology_index(cp)
if owner != 1:
return owner
raw = int(cp.safetyConfigs[owner].safetyParam)
if cp.openpilotLongitudinalControl and not cp.pcmCruise:
if raw == 0x15 and cp.alternativeExperience == 0:
return 1
if cp.carFingerprint == CAR.KIA_EV6 and raw == 0x815 and cp.alternativeExperience == 32:
return 1
elif not cp.openpilotLongitudinalControl and cp.pcmCruise and cp.alternativeExperience == 0 and raw in (0x11, 0x811):
return 1
return None
@@ -3,6 +3,7 @@
from opendbc.car.structs import CarParams
from opendbc.car.hyundai.values import CAR, HyundaiFlags
from opendbc.car.hyundai.hyundaicanfd import CanBus
from opendbc.car.hyundai.canfd_owner import config_index
STOCK_AOL_MARKER = 0x0800
STOCK_EV_CARS = frozenset(
@@ -27,22 +28,24 @@ STOCK_AOL_WORDS = frozenset(
and (not extra & 0x2000 or (topology in (32, 40, 48, 176) and gas != 1))
)
STOCK_AOL_FLAGS = (
HyundaiFlags.CANFD
| HyundaiFlags.EV
| HyundaiFlags.HYBRID
| HyundaiFlags.CANFD_LKA_STEER_MSG
| HyundaiFlags.CANFD_LKA_STEER_MSG_ALT
| HyundaiFlags.CANFD_ALT_BUTTONS
| HyundaiFlags.CANFD_CAMERA_SCC
| HyundaiFlags.CANFD_ALT_GEARS
| HyundaiFlags.CANFD_ALT_GEARS_2
| HyundaiFlags.CANFD_RADAR_SCC
| HyundaiFlags.CANFD_NO_RADAR_DISABLE
| HyundaiFlags.CCNC
)
def _base_word(cp, *, experiences=(0,)):
allowed = (
HyundaiFlags.CANFD
| HyundaiFlags.EV
| HyundaiFlags.HYBRID
| HyundaiFlags.CANFD_LKA_STEER_MSG
| HyundaiFlags.CANFD_LKA_STEER_MSG_ALT
| HyundaiFlags.CANFD_ALT_BUTTONS
| HyundaiFlags.CANFD_CAMERA_SCC
| HyundaiFlags.CANFD_ALT_GEARS
| HyundaiFlags.CANFD_ALT_GEARS_2
| HyundaiFlags.CANFD_RADAR_SCC
| HyundaiFlags.CANFD_NO_RADAR_DISABLE
| HyundaiFlags.CCNC
)
owner = config_index(cp)
allowed = STOCK_AOL_FLAGS
try:
factory = CAR(cp.carFingerprint)
except ValueError:
@@ -59,8 +62,7 @@ def _base_word(cp, *, experiences=(0,)):
or cp.steerControlType != CarParams.SteerControlType.torque
or not cp.flags & HyundaiFlags.CANFD
or int(cp.flags) & ~int(allowed)
or len(cp.safetyConfigs) != 1
or cp.safetyConfigs[0].safetyModel != CarParams.SafetyModel.hyundaiCanfd
or owner is None
):
return None
# EV identity is static; hybrid fuel is selected by the actual 0xFA fingerprint.
@@ -74,7 +76,8 @@ def _base_word(cp, *, experiences=(0,)):
if (ev and hybrid) or (alt_lka and not lka) or (lka and camera):
return None
bus = CanBus(cp)
if (bus.ACAN, bus.ECAN, bus.CAM) != ((0, 1, 2) if lka else (1, 0, 2)):
offset = 4 * owner
if (bus.ACAN - offset, bus.ECAN - offset, bus.CAM - offset) != ((0, 1, 2) if lka else (1, 0, 2)):
return None
word = (1 if ev else 2 if hybrid else 0) | (16 if lka else 0) | (128 if alt_lka else 0)
word |= (32 if alt_buttons else 0) | (8 if camera else 0)
@@ -89,7 +92,7 @@ def qualified(cp, *, marked_only=False):
word = _base_word(cp)
if word is None or cp.openpilotLongitudinalControl or not cp.pcmCruise:
return False
return cp.safetyConfigs[0].safetyParam in ((word | STOCK_AOL_MARKER,) if marked_only else (word, word | STOCK_AOL_MARKER))
return cp.safetyConfigs[config_index(cp)].safetyParam in ((word | STOCK_AOL_MARKER,) if marked_only else (word, word | STOCK_AOL_MARKER))
LONG_AOL_WORDS = frozenset((0x0815, 0x0895))
@@ -6,21 +6,30 @@ from opendbc.can.parser import MAX_BAD_COUNTER
from opendbc.car.hyundai.ecu_startup import HyundaiECUStartup, Outcome
from opendbc.car.hyundai.hyundaicanfd import CanBus
from opendbc.car.hyundai.values import HyundaiFlags
from opendbc.car.hyundai.canfd_owner import topology_index
def first_generation(cp):
owner = topology_index(cp)
if owner is None:
return False
buses = CanBus(cp)
offset = 4 * owner
excluded = (HyundaiFlags.CANFD_ANGLE_STEERING | HyundaiFlags.CANFD_LKA_STEER_MSG_ALT |
HyundaiFlags.CANFD_ALT_BUTTONS | HyundaiFlags.CANFD_CAMERA_SCC | HyundaiFlags.CCNC |
HyundaiFlags.HYBRID)
return (cp.flags & HyundaiFlags.CANFD and
cp.flags & HyundaiFlags.EV and cp.flags & HyundaiFlags.CANFD_LKA_STEER_MSG and
not cp.flags & excluded and CanBus(cp).ACAN == 0 and CanBus(cp).ECAN == 1 and
not cp.flags & excluded and (buses.ACAN, buses.ECAN, buses.CAM) == (offset, offset + 1, offset + 2) and
not cp.passive and not cp.dashcamOnly and not cp.notCar)
class CapturedADRVStartup(HyundaiECUStartup):
def __init__(self, cp, callbacks, *, label, template_type):
super().__init__(cp, callbacks, address=0x730, bus=1, label=label)
buses = CanBus(cp)
super().__init__(cp, callbacks, address=0x730, bus=buses.ECAN, label=label)
self.template_bus = buses.ACAN
self.camera_bus = buses.CAM
self.template_type = template_type
self.template = None
@@ -35,7 +44,7 @@ class CapturedADRVStartup(HyundaiECUStartup):
if not floor < stamp <= now or now - stamp > 150_000_000:
continue
for msg in packet:
if msg.src != 0 or msg.address != 0x51:
if msg.src != self.template_bus or msg.address != 0x51:
continue
try:
candidate = self.template_type.capture(bytes(msg.dat))
@@ -66,7 +75,7 @@ class CapturedADRVStartup(HyundaiECUStartup):
return False
pt = ci.can_parsers[Bus.pt]
cam = ci.can_parsers[Bus.cam]
if pt.bus != 1 or cam.bus != 2:
if pt.bus != self.bus or cam.bus != self.camera_bus:
return False
names = ['ACCELERATOR', 'TCS', 'WHEEL_SPEEDS', 'MDPS', 'CRUISE_BUTTONS', ci.CS.gear_msg_canfd]
if not ci.CP.openpilotLongitudinalControl:
@@ -163,6 +163,8 @@ class CarController(CarControllerBase):
self._ray_prev_lat_active = CC.latActive
# steering torque
if self.CP.flags & HyundaiFlags.CANFD and self.angle_vm is None:
self.params = CarControllerParams(self.CP, CS.out.vEgoRaw)
new_torque = int(round(actuators.torque * self.params.STEER_MAX))
apply_torque = (0 if self.angle_vm is not None else
apply_driver_steer_torque_limits(new_torque, self.apply_torque_last, CS.out.steeringTorque, self.params))
@@ -1,14 +1,26 @@
"""Hyundai prepublication ECU transaction; sent disable is not confirmed ownership."""
from enum import Enum
from collections.abc import Callable
from typing import TypedDict, cast
from copy import deepcopy
import time
from opendbc.car import structs
from opendbc.car.disable_ecu import disable_ecu
from opendbc.car.hyundai.values import HyundaiSafetyFlags
from opendbc.car.hyundai.canfd_owner import config_index
from opendbc.car.isotp_parallel_query import IsoTpParallelQuery
class PreparedSafetyConfig(TypedDict):
safetyParam: int
class PreparedParams(TypedDict):
safetyConfigs: list[PreparedSafetyConfig]
alternativeExperience: int
class Outcome(Enum):
STOCK_UNTOUCHED = 'stock_untouched'
SENT_UNCONFIRMED = 'sent_unconfirmed'
@@ -60,7 +72,8 @@ class HyundaiECUStartup:
self.callbacks[1](frames)
def _restore(self):
if not self.admission():
admission = cast(Callable[[], bool], self.admission)
if not admission():
return False
recv, send = self.callbacks
session = self._query(send, recv, self.bus, [(self.address, None)], [b'\x10\x03'], [b'\x50\x03'])
@@ -126,11 +139,12 @@ class HyundaiECUStartup:
return
from opendbc.car.hyundai.ev6_aol import qualified as ev6_aol_qualified
if self.outcome is Outcome.SENT_UNCONFIRMED and ev6_aol_qualified(ci.CP, marked_only=True):
expected = deepcopy(self.prepared_cp)
expected = deepcopy(cast(PreparedParams, self.prepared_cp))
configs = expected.get('safetyConfigs', [])
if len(configs) != 1 or configs[0]['safetyParam'] != 0x15 or expected['alternativeExperience'] != 0:
owner = config_index(ci.CP)
if owner is None or len(configs) != owner + 1 or configs[owner]['safetyParam'] != 0x15 or expected['alternativeExperience'] != 0:
raise RuntimeError('EV6 prepared LONG profile cannot be finalized')
configs[0]['safetyParam'] |= 0x0800
configs[owner]['safetyParam'] |= 0x0800
expected['alternativeExperience'] = 32
if ci.CP.to_dict() != expected:
raise RuntimeError('EV6 AOL finalization changed unrelated CarParams')
@@ -140,11 +154,12 @@ class HyundaiECUStartup:
if (self.outcome not in (Outcome.STOCK_UNTOUCHED, Outcome.STOCK_RESTORED) or
not stock_aol_qualified(ci.CP, marked_only=True)):
raise RuntimeError('Hyundai startup does not admit this AOL configuration')
expected = deepcopy(self.prepared_cp)
expected = deepcopy(cast(PreparedParams, self.prepared_cp))
configs = expected.get('safetyConfigs', [])
if len(configs) != 1 or configs[0]['safetyParam'] not in (0x11, 0x91):
owner = config_index(ci.CP)
if owner is None or len(configs) != owner + 1 or configs[owner]['safetyParam'] not in (0x11, 0x91):
raise RuntimeError('Hyundai startup stock profile cannot be finalized')
configs[0]['safetyParam'] |= 0x0800
configs[owner]['safetyParam'] |= 0x0800
if ci.CP.to_dict() != expected:
raise RuntimeError('Hyundai AOL finalization changed unrelated CarParams')
self.prepared_cp = expected
+2 -1
View File
@@ -1,5 +1,6 @@
"""First-generation EV6 physical authorization for the existing torque lease."""
from opendbc.car.hyundai.canfd_stock_aol import _base_word
from opendbc.car.hyundai.canfd_owner import config_index
from opendbc.car.hyundai.ev6_startup import eligible
from opendbc.car.hyundai.values import Buttons
@@ -9,7 +10,7 @@ def qualified(cp, *, marked_only=False):
return False
if _base_word(cp, experiences=(0, 32)) != 0x11:
return False
word = cp.safetyConfigs[0].safetyParam
word = cp.safetyConfigs[config_index(cp)].safetyParam
return (word == 0x815 and cp.alternativeExperience == 32) or (
not marked_only and word == 0x15 and cp.alternativeExperience == 0)
@@ -1,4 +1,5 @@
import math
from typing import cast
import numpy as np
from opendbc.car import CanBusBase, CanData
@@ -213,8 +214,8 @@ def create_acc_control(packer, CAN, enabled, accel_last, accel, stopping, gas_ov
object_distance, object_relative, object_valid, object_status = 1., 0., 0, 2
else:
visible = bool(lead_visible)
object_distance = float(np.clip(lead_distance if visible else 0., 0., 204.7))
object_relative = float(np.clip(lead_rel_speed if visible else 0., -16.4, 34.7))
object_distance = float(np.clip(cast(float, lead_distance) if visible else 0., 0., 204.7))
object_relative = float(np.clip(cast(float, lead_rel_speed) if visible else 0., -16.4, 34.7))
object_valid = int(not visible)
object_status = 0 if not (enabled and visible) else 1 if gas_override else 2
@@ -392,11 +393,15 @@ def create_adrv_messages(packer, CAN, frame, *, template=None, drive_gear=False,
values = {
}
from opendbc.car.hyundai.gv70_template import GV70Template
if isinstance(template, GV70Template):
ret.append(template.frame(frame, drive_gear, CAN.ACAN, speed=speed))
if template is not None:
if type(CAN.ACAN) is not int or type(CAN.offset) is not int:
raise ValueError('Captured ADRV requires integer CAN routing')
local_bus = CAN.ACAN - CAN.offset
packet = (template.frame(frame, drive_gear, local_bus, speed=speed) if isinstance(template, GV70Template) else
template.frame(frame, drive_gear, local_bus))
ret.append(CanData(packet.address, packet.dat, CAN.ACAN))
else:
ret.append(template.frame(frame, drive_gear, CAN.ACAN) if template is not None else
packer.make_can_msg("ADRV_0x51", CAN.ACAN, values))
ret.append(packer.make_can_msg("ADRV_0x51", CAN.ACAN, values))
ret.extend(create_fca_warning_light(packer, CAN, frame))
@@ -150,6 +150,8 @@ class CarInterface(CarInterfaceBase):
else:
ret.flags |= HyundaiFlags.CANFD_ALT_GEARS.value
if candidate in (CAR.KIA_EV6, CAR.GENESIS_GV70_ELECTRIFIED_1ST_GEN) and CAN.offset >= 8:
ret.dashcamOnly = True
cfgs = [get_safety_config(structs.CarParams.SafetyModel.hyundaiCanfd), ]
if CAN.ECAN >= 4:
cfgs.insert(0, get_safety_config(structs.CarParams.SafetyModel.noOutput))
@@ -237,8 +237,8 @@ class TestBlendedLifecycle(unittest.TestCase):
calls.append('ack')
context.owner = SimpleNamespace(sent=sent)
car = card.Car.__new__(card.Car)
car.vehicle_startup = context
car.pm = SimpleNamespace(send=lambda *args: calls.append('published'))
vars(car)['vehicle_startup'] = context
vars(car)['pm'] = SimpleNamespace(send=lambda *args: calls.append('published'))
card.Car.publish_sendcan(car, [], valid=True)
self.assertEqual(calls, ['published', 'ack'])
@@ -320,17 +320,23 @@ class TestBlendedLifecycle(unittest.TestCase):
calls = []
CS = SimpleNamespace()
car = card.Car.__new__(card.Car)
car.state_update = lambda: (CS, None)
car.state_publish = lambda *args: calls.append('state')
def state_update(*, defer_radar=False):
self.assertTrue(defer_radar)
return CS, None
vars(car)['state_update'] = state_update
car._deferred_radar_can = None
vars(car)['RI'] = SimpleNamespace(update=lambda can_list: None)
vars(car)['state_publish'] = lambda *args: calls.append('state')
car.CP = SimpleNamespace(passive=False)
car.ci_initialized = False
class SM(dict):
seen = {'onroadEvents': False}
car.sm = SM(onroadEvents=[])
car.vehicle_startup = SimpleNamespace(owner=object(), maintain=lambda **kw: calls.append(('maintain', kw)))
car.startup_panda_configured = lambda: True
car.controls_update = lambda *args: self.fail('Controls are not initialized')
vars(car)['sm'] = SM(onroadEvents=[])
vars(car)['vehicle_startup'] = SimpleNamespace(owner=object(), maintain=lambda **kw: calls.append(('maintain', kw)))
vars(car)['startup_panda_configured'] = lambda: True
vars(car)['controls_update'] = lambda *args: self.fail('Controls are not initialized')
card.Car.step(car)
self.assertEqual(calls, [('maintain', {'configured': True}), 'state'])
self.assertIs(car.CS_prev, CS)
@@ -0,0 +1,73 @@
"""Captured ADRV encoding keeps local validation and Panda routing separate."""
import unittest
from opendbc.can import CANPacker
from opendbc.car import Bus, CanData, structs
from opendbc.car.hyundai.ev6_template import EV6Template
from opendbc.car.hyundai.gv70_template import GV70Template
from opendbc.car.hyundai.hyundaicanfd import CanBus, create_adrv_messages, hkg_can_fd_checksum
from opendbc.car.hyundai.values import CAR, DBC, HyundaiFlags
CAPTURE = bytes.fromhex('88ed2e091700ffff5e0d0000012006ff021c2200000000000800000010000000')
def buses(pandas: int, *, lka: bool = True) -> CanBus:
configs = [structs.CarParams.SafetyConfig(safetyModel=structs.CarParams.SafetyModel.noOutput) for _ in range(pandas - 1)]
configs.append(structs.CarParams.SafetyConfig(safetyModel=structs.CarParams.SafetyModel.hyundaiCanfd))
cp = structs.CarParams(safetyConfigs=configs, flags=int(HyundaiFlags.CANFD_LKA_STEER_MSG) if lka else 0)
return CanBus(cp)
class TestCapturedADRVRouting(unittest.TestCase):
def setUp(self):
self.packer = CANPacker(DBC[CAR.KIA_EV6][Bus.pt])
def test_ev6_and_gv70_use_local_encoding_and_logical_owner_bus(self):
for pandas in (1, 2):
can = buses(pandas)
self.assertEqual((can.offset, can.ACAN, can.ECAN), (4 * (pandas - 1), 4 * (pandas - 1), 4 * (pandas - 1) + 1))
for template in (EV6Template.capture(CAPTURE), GV70Template.capture(CAPTURE)):
for frame in (0, 7, 255, 256):
for drive in (False, True):
for speed in (None, 12.345):
with self.subTest(pandas=pandas, template=type(template).__name__, frame=frame, drive=drive, speed=speed):
local = (template.frame(frame, drive, 0, speed=speed) if isinstance(template, GV70Template) else
template.frame(frame, drive, 0))
sent = create_adrv_messages(self.packer, can, frame, template=template, drive_gear=drive, speed=speed)
self.assertEqual(sent[0], CanData(local.address, local.dat, can.ACAN))
self.assertEqual(int.from_bytes(sent[0].dat[:2], 'little'), hkg_can_fd_checksum(0x51, None, bytearray(sent[0].dat)))
self.assertEqual(template.data, CAPTURE)
self.assertTrue(all(packet[2] == can.ECAN for packet in sent[1:]))
if pandas == 2:
self.assertNotEqual(sent[0].src, 0)
def test_default_packer_sender_preserves_logical_bus_for_both_harnesses(self):
expected_packer = CANPacker(DBC[CAR.KIA_EV6][Bus.pt])
for pandas in (1, 2):
for lka in (False, True):
can = buses(pandas, lka=lka)
expected = expected_packer.make_can_msg('ADRV_0x51', can.ACAN, {})
self.assertEqual(create_adrv_messages(self.packer, can, 7)[0], expected)
def test_wrong_local_bus_and_noninteger_routing_remain_rejected(self):
for pandas in (1, 2):
for template in (EV6Template.capture(CAPTURE), GV70Template.capture(CAPTURE)):
with self.subTest(pandas=pandas, template=type(template).__name__, local_bus=1):
with self.assertRaises(ValueError):
create_adrv_messages(self.packer, buses(pandas, lka=False), 7, template=template, drive_gear=True)
for field, value in (('_a', False), ('_a', 0.0), ('offset', False), ('offset', 0.0)):
can = buses(pandas)
setattr(can, field, value)
with self.subTest(pandas=pandas, template=type(template).__name__, field=field, value=value):
with self.assertRaises(ValueError):
create_adrv_messages(self.packer, can, 7, template=template, drive_gear=True)
def test_template_physical_bus_and_drive_guards_remain_closed(self):
for pandas in (1, 2):
for template in (EV6Template.capture(CAPTURE), GV70Template.capture(CAPTURE)):
for drive in (0, 1):
with self.assertRaises(ValueError):
create_adrv_messages(self.packer, buses(pandas), 7, template=template, drive_gear=drive)
for bus in (False, 1, 4):
with self.assertRaises(ValueError):
template.frame(7, True, bus)
@@ -579,8 +579,8 @@ class TestIoniq6PrepublicationHandoff(unittest.TestCase):
card.ioniq6_handoff_result = None
card.can_callbacks = (lambda wait_for_one=False: [], lambda messages: None)
card.params = SimpleNamespace(put_bool=Mock())
card.CP = SimpleNamespace(safetyConfigs=[object()])
card.CI = SimpleNamespace(CC=SimpleNamespace(), init=Mock(), apply=Mock(return_value=(object(), [])))
card.CP = SimpleNamespace(brand='hyundai', safetyConfigs=[object()])
card.CI = SimpleNamespace(CC=SimpleNamespace(), CS=SimpleNamespace(), init=Mock(), apply=Mock(return_value=(object(), [])))
card.vehicle_startup = VehicleStartupOwner()
card.sm = FakeSM()
card.publish_sendcan = Mock()
@@ -23,7 +23,7 @@ from openpilot.starpilot.car.hyundai.aol import policy_for
def card_publication_sequence(context):
# Run the reached production statements, retaining their actual source order.
from openpilot.selfdrive.car.card import Car
from openpilot.selfdrive.car.card import Car, hyundai_aol_safety_config
source=textwrap.dedent(inspect.getsource(Car.__init__))
tree=ast.parse(source)
statements=[]
@@ -40,7 +40,7 @@ def card_publication_sequence(context):
calls=[statement.value.func.attr for statement in statements if isinstance(statement,ast.Expr)]
assert calls==['configure','finalize_aol_configuration','seal_publication']
exec(compile(ast.Module(body=statements,type_ignores=[]),'actual-card-publication-order','exec'),
{'self':context,'aol_policy':policy_for(context.CP)})
{'self':context,'aol_policy':policy_for(context.CP), 'hyundai_aol_safety_config':hyundai_aol_safety_config})
@pytest.fixture(params=[(CAR.KIA_EV6,EV6Startup),(CAR.GENESIS_GV70_ELECTRIFIED_1ST_GEN,GV70Startup)])
+6 -2
View File
@@ -17,7 +17,7 @@ class CarControllerParams:
ACCEL_MAX = 2.0 # m/s^2
ANGLE_LIMITS = AngleSteeringLimitsVM(360, MAX_ANGLE_RATE=5)
def __init__(self, CP):
def __init__(self, CP, vEgoRaw=100.):
self.ACCEL_MAX = 3.5 if is_blended_alpha(CP) else type(self).ACCEL_MAX
self.STEER_DELTA_UP = 3
self.STEER_DELTA_DOWN = 7
@@ -28,12 +28,16 @@ class CarControllerParams:
self.STEER_STEP = 1 # 100 Hz
if CP.flags & HyundaiFlags.CANFD:
self.STEER_MAX = 270
self.STEER_MAX = 270 if CP.flags & HyundaiFlags.CANFD_ANGLE_STEERING else 409
self.STEER_DRIVER_ALLOWANCE = 250
self.STEER_DRIVER_MULTIPLIER = 2
self.STEER_THRESHOLD = 250
self.STEER_DELTA_UP = 2
self.STEER_DELTA_DOWN = 3
if (not CP.flags & HyundaiFlags.CANFD_ANGLE_STEERING and 0 <= vEgoRaw < 15 and
CP.carFingerprint != CAR.KIA_CARNIVAL_HEV_4TH_GEN):
self.STEER_DELTA_UP = 10
self.STEER_DELTA_DOWN = 8
# To determine the limit for your car, find the maximum value that the stock LKAS will request.
# If the max stock LKAS request is <384, add your car to this list.
+42 -1
View File
@@ -3,7 +3,8 @@ import unittest
from opendbc.car.car_helpers import interfaces
from opendbc.car.docs import get_all_car_docs
from opendbc.car.docs_definitions import Cable, Column, PartType, Star, SupportType
from opendbc.car.docs_definitions import Cable, CarHarness, Column, PartType, Star, SupportType
from opendbc.car.gm.values import CAR as GM
from opendbc.car.honda.values import CAR as HONDA
from opendbc.car.values import PLATFORMS
@@ -63,8 +64,48 @@ class TestCarDocs(unittest.TestCase):
if car.name == "comma body":
raise unittest.SkipTest
if car.brand == "gm" and not car.merged and not car.years:
# Community configurations may have no established model-year range.
self.assertEqual(car.support_type, SupportType.COMMUNITY)
self.assertEqual(car.year_list, [])
continue
assert car.years and car.year_list, f"Format years correctly: {car.name}"
def test_volt_docs_support_and_hardware(self):
expected = {
GM.CHEVROLET_VOLT: (SupportType.COMMUNITY, CarHarness.obd_ii),
GM.CHEVROLET_VOLT_ASCM: (SupportType.COMMUNITY, CarHarness.custom),
GM.CHEVROLET_VOLT_2019: (SupportType.COMMUNITY, CarHarness.gmsdgm),
GM.CHEVROLET_VOLT_CAMERA: (SupportType.COMMUNITY, CarHarness.gm),
GM.CHEVROLET_VOLT_CC: (SupportType.COMMUNITY, CarHarness.custom),
}
docs = {car.car_fingerprint: car for car in self.all_cars if car.car_fingerprint in expected}
self.assertEqual(set(docs), set(expected))
for platform, (support, harness) in expected.items():
with self.subTest(platform=platform):
self.assertEqual(docs[platform].make, "Chevrolet")
self.assertEqual(docs[platform].support_type, support)
self.assertEqual([part for part in docs[platform].car_parts.parts if isinstance(part, CarHarness)], [harness])
def test_every_gm_platform_has_minimal_docs(self):
from opendbc.car.gm.values import GMCommunityCarDocs
documented = {car.car_fingerprint for car in self.all_cars}
for platform in GM:
with self.subTest(platform=platform):
self.assertIn(platform, documented)
self.assertTrue(platform.config.car_docs)
for doc in platform.config.car_docs:
self.assertTrue(doc.make and doc.model and doc.package)
if isinstance(doc, GMCommunityCarDocs):
self.assertEqual(doc.support_type, SupportType.COMMUNITY)
self.assertFalse(doc.merged)
expected_harness = (CarHarness.custom if "ASCM Harness" in doc.name or "(CC)" in doc.name else
CarHarness.gmsdgm if "SDGM Harness" in doc.name else
CarHarness.gm if "Camera Harness" in doc.name else CarHarness.obd_ii)
self.assertIn(expected_harness, doc.car_parts.parts)
def test_harnesses(self):
for car in self.all_cars:
with self.subTest(car=car.name):
@@ -377,7 +377,7 @@ class CarController(CarControllerBase):
if self.frame % 20 == 0 or send_ui:
can_sends.append(toyotacan.create_ui_command(self.packer, steer_alert, pcm_cancel_cmd, hud_control.leftLaneVisible,
hud_control.rightLaneVisible, hud_control.leftLaneDepart,
hud_control.rightLaneDepart, CC.enabled, CS.lkas_hud))
hud_control.rightLaneDepart, lat_active, CS.lkas_hud))
if (self.frame % 100 == 0 or send_ui) and self.CP.flags & ToyotaFlags.DISABLE_RADAR.value:
can_sends.append(toyotacan.create_fcw_command(self.packer, fcw_alert))
@@ -1,7 +1,9 @@
import unittest
from typing import cast
from opendbc.car import Bus
from opendbc.car.structs import CarParams
from opendbc.car.fw_query_definitions import OfflineFwVersions
from opendbc.car.fw_versions import build_fw_dict
from opendbc.car.toyota.fingerprints import FW_VERSIONS
from opendbc.car.toyota.values import CAR, DBC, ToyotaFlags, FW_QUERY_CONFIG, PLATFORM_CODE_ECUS, \
@@ -21,6 +23,38 @@ def cars_with(flags):
class TestToyotaInterfaces(unittest.TestCase):
def test_dashboard_lanes_follow_applied_lateral_axis(self):
from opendbc.car import structs
from opendbc.car.toyota.tests.test_auto_hold import setup_hold, step_hold, decode
for car in (CAR.TOYOTA_PRIUS_RETROFIT, CAR.TOYOTA_COROLLA_TSS2, CAR.TOYOTA_RAV4_TSS2):
cp, controller, command, state = setup_hold(car, enabled=False)
state.out.standstill = state.out.brakePressed = False
command.actuators.torque = 0.2
command.cruiseControl.cancel = True
command.hudControl.visualAlert = structs.CarControl.HUDControl.VisualAlert.steerRequired
command.hudControl.leftLaneVisible = True
command.hudControl.rightLaneDepart = True
state.lkas_hud = {'LANE_SWAY_FLD': 5, 'LANE_SWAY_BUZZER': 1, 'LANE_SWAY_WARNING': 1,
'LANE_SWAY_SENSITIVITY': 1, 'LANE_SWAY_TOGGLE': 0}
cases = ((True, False, 0, False), (False, True, 0, True), (True, True, 499, True),
(True, True, 500, False), (True, True, -500, False), (True, True, 0, True),
(True, False, 0, False))
for enabled, requested, driver_torque, applied in cases:
with self.subTest(car=car, enabled=enabled, requested=requested, driver_torque=driver_torque):
command.enabled, command.latActive = enabled, requested
state.out.steeringTorque = driver_torque
frames = step_hold(controller, command, state)
hud = decode(cp, next(frame for frame in frames if frame[0] == 0x412), 'LKAS_HUD')
steering = decode(cp, next(frame for frame in frames if frame[0] == 0x2E4), 'STEERING_LKA')
self.assertEqual((hud['LEFT_LINE'], hud['RIGHT_LINE'], hud['BARRIERS']),
(1, 3, 1) if applied else (0, 0, 0))
self.assertEqual(steering['STEER_REQUEST'], int(applied))
self.assertEqual(steering['STEER_TORQUE_CMD'] != 0, applied)
self.assertEqual((hud['LKAS_STATUS'], hud['LDA_SA_TOGGLE'], hud['LDA_ALERT'], hud['TWO_BEEPS']), (1, 1, 1, 1))
for signal, value in state.lkas_hud.items():
self.assertEqual(hud[signal], value)
def test_distance_command_matches_hud_bars_until_pcm_acknowledges(self):
from opendbc.car.toyota.tests.test_auto_hold import setup_hold, step_hold, decode
@@ -210,6 +244,8 @@ class TestToyotaFingerprint(unittest.TestCase):
def test_fuzzy_excluded_platforms(self):
# Asserts a list of platforms that will not fuzzy fingerprint with platform codes due to them being shared.
matcher = FW_QUERY_CONFIG.match_fw_to_car_fuzzy
assert matcher is not None
platforms_with_shared_codes = set()
for platform, fw_by_addr in FW_VERSIONS.items():
car_fw = []
@@ -220,7 +256,7 @@ class TestToyotaFingerprint(unittest.TestCase):
subAddress=0 if sub_addr is None else sub_addr))
CP = CarParams(carFw=car_fw)
matches = FW_QUERY_CONFIG.match_fw_to_car_fuzzy(build_fw_dict(CP.carFw), CP.carVin, FW_VERSIONS)
matches = matcher(build_fw_dict(CP.carFw), CP.carVin, cast(OfflineFwVersions, FW_VERSIONS))
if len(matches) == 1:
assert list(matches)[0] == platform
else:
+4 -4
View File
@@ -142,13 +142,13 @@ def create_fcw_command(packer, fcw):
return packer.make_can_msg("PCS_HUD", 0, values)
def create_ui_command(packer, steer, chime, left_line, right_line, left_lane_depart, right_lane_depart, enabled, stock_lkas_hud):
def create_ui_command(packer, steer, chime, left_line, right_line, left_lane_depart, right_lane_depart, lat_active, stock_lkas_hud):
values = {
"TWO_BEEPS": chime,
"LDA_ALERT": steer,
"RIGHT_LINE": 3 if right_lane_depart else 1 if right_line else 2,
"LEFT_LINE": 3 if left_lane_depart else 1 if left_line else 2,
"BARRIERS": 1 if enabled else 0,
"RIGHT_LINE": 0 if not lat_active else 3 if right_lane_depart else 1 if right_line else 2,
"LEFT_LINE": 0 if not lat_active else 3 if left_lane_depart else 1 if left_line else 2,
"BARRIERS": 1 if lat_active else 0,
# static signals
"SET_ME_X02": 2,
+53
View File
@@ -8,15 +8,36 @@
bool ignition_can = false;
uint32_t ignition_can_cnt = 0U;
bool wake_on_can = false;
uint32_t wake_on_can_cnt = 0U;
#ifdef PANDA_HKG_REMOTE_START
bool hkg_remote_climate_wake = false;
uint32_t hkg_remote_climate_wake_cnt = 0U;
#endif
void ignition_can_hook(const CANPacket_t *msg) {
#ifdef PANDA_HKG_REMOTE_START
if (msg_matches(msg, 0x384U, 1U, 8U)) {
hkg_remote_climate_wake = msg->data[3] != 0U;
hkg_remote_climate_wake_cnt = 0U;
}
#endif
// GM exception
#ifdef PANDA_GM_REMOTE_START_C9
if (msg_matches(msg, 0xC9U, 0U, 8U)) {
ignition_can = (msg->data[6] & 0x10U) != 0U;
ignition_can_cnt = 0U;
}
#else
if (msg_matches(msg, 0x1F1U, 0U, 8U)) {
// SystemPowerMode (2=Run, 3=Crank Request)
ignition_can = (msg->data[0] & 0x2U) != 0U;
ignition_can_cnt = 0U;
}
#endif
// Rivian R1S/T GEN1 exception
if (msg_matches(msg, 0x152U, 0U, 8U)) {
// 0x152 overlaps with Subaru pre-global which has this bit as the high beam
@@ -44,6 +65,38 @@ void ignition_can_hook(const CANPacket_t *msg) {
ignition_can_cnt = 0U;
}
prev_counter_tesla = counter;
#ifdef PANDA_TESLA_WAKE_ON_CAN
uint32_t checksum = (msg->addr & 0xFFU) + (msg->addr >> 8U);
for (uint8_t i = 0U; i < 7U; i++) {
checksum += msg->data[i];
}
static int prev_counter_tesla_wake = -1;
if (!msg->extended && (msg->data[7] == (checksum & 0xFFU))) {
if ((prev_counter_tesla_wake != -1) && (counter == ((prev_counter_tesla_wake + 1) % 16))) {
wake_on_can = ((msg->data[0] >> 5U) & 0x3U) != 0U;
wake_on_can_cnt = 0U;
}
prev_counter_tesla_wake = counter;
} else {
prev_counter_tesla_wake = -1;
}
#endif
}
// Tesla Model S pre-AP exception
if (msg_matches(msg, 0x101U, 0U, 3U)) {
// Validate Tesla checksum/counter to avoid false positives on overlapping frames.
int counter = msg->data[1] & 0xFU;
int checksum = (((msg->addr & 0xFFU) + ((msg->addr >> 8U) & 0xFFU) + msg->data[0] + msg->data[1]) & 0xFFU);
static int prev_counter_tesla_preap = -1;
if ((msg->data[2] == checksum) && (counter == ((prev_counter_tesla_preap + 1) % 16)) && (prev_counter_tesla_preap != -1)) {
// GTW_epasPowerMode=1 is DRIVE_ON, which is the only ignition source on pre-AP cars.
int power_mode = (msg->data[0] >> 3U) & 0xFU;
ignition_can = power_mode == 0x1U;
ignition_can_cnt = 0U;
}
prev_counter_tesla_preap = counter;
}
// Mazda exception
+15 -7
View File
@@ -2,6 +2,7 @@
#include "opendbc/safety/declarations.h"
#include "opendbc/safety/modes/ford_aol.h"
#include "opendbc/bluepilot_lateral/safety/ford_bp.h"
// StarPilot's extended Ford curvature enforcement below is substantially adapted from
// BluePilot bp-7.0 panda work, principally Alan Polk's 8f8d6d15f0a590f42b78de964ffb0d0af7f5d63d
@@ -115,7 +116,6 @@ static const CurvatureSteeringLimits FORD_LKA_STEERING_LIMITS = {
.max_steer_power = 0,
};
static bool ford_stock_switch = false;
static bool ford_cancel_resume_button = false;
static bool ford_generic_canfd_extended = false;
@@ -217,6 +217,7 @@ static void ford_rx_hook(const CANPacket_t *msg) {
// Physical combined cancel/resume switch, not the outgoing resume signal.
ford_cancel_resume_button = (msg->data[2] & 0x20U) != 0U;
}
ford_bp_rx(msg);
}
static bool ford_tx_hook(const CANPacket_t *msg) {
@@ -284,7 +285,7 @@ static bool ford_tx_hook(const CANPacket_t *msg) {
}
// Safety check for Lane_Assist_Data1 action
if (msg->addr == FORD_Lane_Assist_Data1) {
if ((msg->addr == FORD_Lane_Assist_Data1) && !ford_bp_enabled) {
if (ford_mach_e_extended || ford_explorer_extended) {
tx &= (msg->data[4] & 0x1U) == 0U;
}
@@ -348,7 +349,7 @@ static bool ford_tx_hook(const CANPacket_t *msg) {
}
// Safety check for LateralMotionControl action
if (msg->addr == FORD_LateralMotionControl) {
if ((msg->addr == FORD_LateralMotionControl) && !ford_bp_enabled) {
// Signal: LatCtl_D_Rq
bool steer_control_enabled = ((msg->data[4] >> 2) & 0x7U) != 0U;
unsigned int raw_curvature = (msg->data[0] << 3) | (msg->data[1] >> 5);
@@ -388,7 +389,7 @@ static bool ford_tx_hook(const CANPacket_t *msg) {
}
// Safety check for LateralMotionControl2 action
if (msg->addr == FORD_LateralMotionControl2) {
if ((msg->addr == FORD_LateralMotionControl2) && !ford_bp_enabled) {
// Signal: LatCtl_D2_Rq
bool steer_control_enabled = ((msg->data[0] >> 4) & 0x7U) != 0U;
unsigned int raw_curvature = (msg->data[2] << 3) | (msg->data[3] >> 5);
@@ -472,6 +473,10 @@ static bool ford_tx_hook(const CANPacket_t *msg) {
}
}
if (ford_bp_enabled) {
if (msg->addr == FORD_Lane_Assist_Data1) { tx &= ford_bp_lka(msg); }
if ((msg->addr == FORD_LateralMotionControl) || (msg->addr == FORD_LateralMotionControl2)) { tx &= ford_bp_lateral(msg); }
}
ford_aol_tx(msg, tx);
return tx;
}
@@ -571,11 +576,13 @@ static safety_config ford_init(uint16_t param) {
#ifdef ALLOW_DEBUG
ford_mach_e_extended |= (param == 19U) && (((unsigned int)alternative_experience == 0U) || (((unsigned int)alternative_experience == 32U) && ford_aol_param_valid(param)));
#endif
ford_stock_switch = (((unsigned int)alternative_experience == 0U) || (((unsigned int)alternative_experience == 32U) && ford_aol_param_valid(param))) &&
const bool bp_config_valid = ford_bp_configure(param);
ford_stock_switch = ((((unsigned int)alternative_experience == 0U) || (((unsigned int)alternative_experience == 32U) && ford_aol_param_valid(param))) &&
((param == 2U) || (param == 8U) || (param == 10U) || (param == 12U) ||
((param == 18U) && ford_mach_e_extended) ||
((param == 32U) && ford_explorer_extended) ||
((param == 66U) && ford_generic_canfd_extended));
((param == 66U) && ford_generic_canfd_extended))) ||
(ford_bp_enabled && ((param & 1U) == 0U));
ford_cancel_resume_button = false;
ford_mach_e_path_angle_last = 0;
ford_mach_e_announced = false;
@@ -615,6 +622,7 @@ static safety_config ford_init(uint16_t param) {
if (ford_explorer_extended && (param == 32U)) {
SET_TX_MSGS(FORD_STOCK_TX_MSGS, ret);
}
if (ford_bp_enabled && (param == 128U)) { SET_TX_MSGS(FORD_STOCK_TX_MSGS, ret); }
if (ford_stock_switch) {
if (ford_lka_steering) {
SET_RX_CHECKS(ford_stock_lka_rx_checks, ret);
@@ -622,7 +630,7 @@ static safety_config ford_init(uint16_t param) {
SET_RX_CHECKS(ford_stock_rx_checks, ret);
}
}
if ((mach_e_namespace && !ford_mach_e_extended) ||
if (!bp_config_valid || (mach_e_namespace && !ford_mach_e_extended) ||
(explorer_namespace && !ford_explorer_extended) ||
(generic_canfd_namespace && !ford_generic_canfd_extended)) {
ret.tx_msgs = NULL;
@@ -2,6 +2,8 @@
static bool honda_stock_aol_enabled = false;
static bool honda_stock_aol_token = false;
static bool honda_stock_aol_pending = false;
static uint32_t honda_stock_aol_grant_ts = 0U;
static bool honda_stock_aol_main_neutral = false;
static bool honda_stock_aol_lkas_neutral = false;
static bool honda_stock_aol_lkas_previous = false;
@@ -18,10 +20,20 @@ static RxCheck honda_rx_workspace[7];
static void honda_stock_aol_clear(void) {
honda_stock_aol_token = false;
honda_stock_aol_pending = false;
honda_stock_aol_main_neutral = false;
honda_stock_aol_lkas_neutral = false;
}
// A new physical grant may precede the host engagement heartbeat. It grants no output
// until an engaged heartbeat and a fresh host request acknowledge this gesture.
static void honda_stock_aol_grant(void) {
honda_stock_aol_token = true;
honda_stock_aol_pending = !heartbeat_engaged;
honda_stock_aol_grant_ts = microsecond_timer_get();
honda_stock_aol_session = heartbeat_engaged;
}
static void honda_stock_aol_reset(void) {
honda_stock_aol_clear();
honda_stock_aol_enabled = false;
@@ -55,14 +67,25 @@ static bool honda_stock_aol_sources_current(void) {
static uint8_t honda_stock_aol_request_mask(void) {
uint8_t request = 0U;
const uint32_t now = microsecond_timer_get();
const uint32_t grant_age = safety_get_ts_elapsed(now, honda_stock_aol_grant_ts);
const bool pending_expired = honda_stock_aol_pending && (grant_age > AOL_HOST_REQUEST_TIMEOUT_US);
const bool expired = honda_stock_aol_request_seen &&
(safety_get_ts_elapsed(microsecond_timer_get(), aol_host_request_ts) > AOL_HOST_REQUEST_TIMEOUT_US);
if (relay_malfunction || expired || safety_rx_checks_invalid ||
(honda_stock_aol_session && (!heartbeat_engaged || !aol_rx_healthy() || !honda_stock_aol_sources_current()))) {
(safety_get_ts_elapsed(now, aol_host_request_ts) > AOL_HOST_REQUEST_TIMEOUT_US);
if (relay_malfunction || expired || pending_expired || safety_rx_checks_invalid ||
(honda_stock_aol_session && !heartbeat_engaged) ||
((honda_stock_aol_session || honda_stock_aol_pending) &&
(!aol_rx_healthy() || !honda_stock_aol_sources_current()))) {
honda_stock_aol_clear();
honda_stock_aol_session = false;
} else if (heartbeat_engaged && aol_rx_healthy() && honda_stock_aol_sources_current()) {
honda_stock_aol_session = true;
request = aol_host_axis_mask;
const bool pending_ack = !honda_stock_aol_pending || ((aol_host_axis_mask != 0U) &&
(safety_get_ts_elapsed(now, aol_host_request_ts) <= grant_age));
if (pending_ack) {
honda_stock_aol_pending = false;
honda_stock_aol_session = true;
request = aol_host_axis_mask;
}
} else {
}
return request;
@@ -94,6 +117,13 @@ static bool honda_stock_aol_selected(const CANPacket_t *msg, const RxCheck *chec
static void honda_stock_aol_rx(const CANPacket_t *msg, unsigned int pt_bus, bool normal_engagement) {
if (honda_stock_aol_enabled) {
// Retire the old session before interpreting a new validated physical edge.
// The following gesture may create a bounded pending grant; a status read
// must not mistake that new grant for the retired session.
if (honda_stock_aol_session && !heartbeat_engaged) {
honda_stock_aol_clear();
honda_stock_aol_session = false;
}
const unsigned int main_addr = honda_stock_aol_alt_main ? 0x1A6U : 0x326U;
const unsigned int buttons_addr = honda_stock_aol_alt_main ? 0x1A6U : 0x296U;
const unsigned int buttons_len = honda_stock_aol_alt_main ? 8U : 4U;
@@ -104,7 +134,7 @@ static void honda_stock_aol_rx(const CANPacket_t *msg, unsigned int pt_bus, bool
honda_stock_aol_clear();
honda_stock_aol_main_neutral = true;
} else if (honda_stock_aol_main_neutral) {
honda_stock_aol_token = true;
honda_stock_aol_grant();
honda_stock_aol_main_neutral = false;
} else {
}
@@ -115,7 +145,7 @@ static void honda_stock_aol_rx(const CANPacket_t *msg, unsigned int pt_bus, bool
if (!lkas) {
honda_stock_aol_lkas_neutral = true;
} else if (honda_stock_aol_lkas_neutral && !honda_stock_aol_lkas_previous && acc_main_on) {
honda_stock_aol_token = true;
honda_stock_aol_grant();
honda_stock_aol_lkas_neutral = false;
} else {
}
@@ -152,10 +182,9 @@ static void honda_stock_aol_rx(const CANPacket_t *msg, unsigned int pt_bus, bool
(honda_stock_aol_eps == 3U) || (honda_stock_aol_eps == 4U) || (honda_stock_aol_eps == 6U);
if (normal_engagement && engagement_source && controls_allowed && acc_main_on && honda_stock_aol_drive &&
eps_known && !brake_pressed && !regen_braking && !steering_disengage &&
heartbeat_engaged && !relay_malfunction && !safety_rx_checks_invalid && request_current &&
!relay_malfunction && !safety_rx_checks_invalid && request_current &&
aol_rx_healthy() && honda_stock_aol_sources_current()) {
honda_stock_aol_token = true;
honda_stock_aol_session = true;
honda_stock_aol_grant();
}
}
}
@@ -637,9 +637,9 @@ static void hyundai_canfd_rx_hook(const CANPacket_t *msg) {
static bool hyundai_canfd_tx_hook_valid(const CANPacket_t *msg) {
static uint8_t hyundai_canfd_ioniq6_lfa_mirror[4] = {0};
const TorqueSteeringLimits HYUNDAI_CANFD_STEERING_LIMITS = {
.max_torque = 270,
.max_rt_delta = 112,
.max_rate_up = 2,
.max_torque = 409,
.max_rt_delta = 375,
.max_rate_up = 10,
.max_rate_down = 3,
.driver_torque_allowance = 250,
.driver_torque_multiplier = 2,
@@ -677,9 +677,11 @@ static bool hyundai_canfd_tx_hook_valid(const CANPacket_t *msg) {
bool tx = true;
// steering
const bool torque_lka_long = hyundai_canfd_ioniq6_long || hyundai_canfd_torque_ev_long ||
(hyundai_canfd_lka_steer_msg && hyundai_longitudinal && !hyundai_canfd_angle_steering);
const unsigned int steer_addr = (hyundai_canfd_lka_steer_msg && !hyundai_longitudinal) ? hyundai_canfd_get_lka_addr() : 0x12aU;
if (msg->addr == steer_addr) {
if (hyundai_canfd_ioniq6_long || hyundai_canfd_torque_ev_long) {
if (torque_lka_long) {
// Even a rejected replacement invalidates an older unpaired command.
hyundai_canfd_ioniq6_lfa_unpaired = false;
}
@@ -720,7 +722,7 @@ static bool hyundai_canfd_tx_hook_valid(const CANPacket_t *msg) {
if (steer_torque_cmd_checks(desired_torque, steer_req, HYUNDAI_CANFD_STEERING_LIMITS)) {
tx = false;
}
if (hyundai_canfd_ioniq6_long || hyundai_canfd_torque_ev_long) {
if (torque_lka_long) {
// This E-CAN command is the sole limited steering authority. Other
// angle/enable fields in the same payload remain the host's fixed
// neutral status, and CRC must cover the exact wire bytes.
@@ -729,7 +731,7 @@ static bool hyundai_canfd_tx_hook_valid(const CANPacket_t *msg) {
}
tx &= hyundai_canfd_get_checksum(msg) == (hyundai_common_canfd_compute_checksum(msg) ^ 0x041DU);
}
if ((hyundai_canfd_ioniq6_long || hyundai_canfd_torque_ev_long) && tx) {
if ((torque_lka_long) && tx) {
for (int i = 0; i < 4; i++) {
hyundai_canfd_ioniq6_lfa_mirror[i] = msg->data[i + 3];
}
@@ -743,7 +745,7 @@ static bool hyundai_canfd_tx_hook_valid(const CANPacket_t *msg) {
// by the identical steering/status request on A-CAN. The second channel may
// mirror only that single fresh, accepted command; it must not run the global
// torque limiter a second time or create independent steering authority.
if ((hyundai_canfd_ioniq6_long || hyundai_canfd_torque_ev_long) && (msg->addr == hyundai_canfd_get_lka_addr())) {
if ((torque_lka_long) && (msg->addr == hyundai_canfd_get_lka_addr())) {
bool mirror = hyundai_canfd_ioniq6_lfa_unpaired &&
safety_get_ts_elapsed(microsecond_timer_get(), hyundai_canfd_ioniq6_lfa_ts) <= 10000U;
const int mirror_torque = (((msg->data[6] & 0xFU) << 7U) | (msg->data[5] >> 1U)) - 1024U;
@@ -1539,7 +1541,7 @@ static safety_config hyundai_canfd_init_validated(uint16_t param) {
};
ret = BUILD_SAFETY_CFG(hyundai_canfd_lka_steer_msg_long_rx_checks, HYUNDAI_CANFD_LKA_STEER_MSG_LONG_TX_MSGS);
if ((param == 0x0095U) || (param == 0x0895U)) {
if (hyundai_canfd_lka_steer_msg_alt) {
SET_TX_MSGS(HYUNDAI_CANFD_LKA_STEER_MSG_ALT_LONG_TX_MSGS, ret);
}
} else {
@@ -92,10 +92,12 @@ ffi.cdef("void mutation_set_active_mutant(int id); int mutation_get_active_mutan
class LibSafety:
pass
libsafety: LibSafety
libpath: str
def load(path):
global libsafety
global libsafety, libpath
libsafety = ffi.dlopen(str(path))
libpath = str(Path(path).resolve())
def __getattr__(name):
if name == "libsafety":
@@ -24,6 +24,8 @@ import tree_sitter as ts
ROOT = Path(__file__).resolve().parents[3]
SAFETY_DIR = ROOT / "opendbc" / "safety"
BLUEPILOT_SAFETY_DIR = ROOT / "opendbc" / "bluepilot_lateral" / "safety"
SAFETY_SOURCE_DIRS = (SAFETY_DIR, BLUEPILOT_SAFETY_DIR)
SAFETY_TESTS_DIR = ROOT / "opendbc" / "safety" / "tests"
SAFETY_C_REL = Path("opendbc/safety/tests/libsafety/safety.c")
@@ -274,7 +276,7 @@ def enumerate_sites(input_source, preprocessed_file):
if mapped is None:
continue
origin_file, origin_line = mapped
if SAFETY_DIR not in origin_file.parents and origin_file != SAFETY_DIR:
if not any(origin_file.is_relative_to(source_dir) for source_dir in SAFETY_SOURCE_DIRS):
continue
site_id = len(out)
site = MutationSite(
@@ -460,11 +462,12 @@ def build_priority_tests(site, catalog, core_tests):
"""
src = site.origin_file
rel_parts = src.relative_to(ROOT).parts
is_mode = len(rel_parts) >= 4 and rel_parts[:3] == ("opendbc", "safety", "modes")
is_mode = (len(rel_parts) >= 4 and rel_parts[:3] == ("opendbc", "safety", "modes")) or src.parent == BLUEPILOT_SAFETY_DIR
if is_mode:
family = src.stem.split("_", 1)[0]
family_modules = [name for name in sorted(catalog) if name == f"test_{family}.py" or name.startswith(f"test_{family}_")]
family_modules = [name for name in sorted(catalog) if name == f"test_{family}.py" or name.startswith(f"test_{family}_") or
(family == "ford" and name == "test_angle_native.py")]
if family_modules:
return [test_id for name in family_modules for test_id in catalog[name]]
# Unmapped mode files still exercise the full safety suite rather than receive zero targets.
@@ -526,7 +529,9 @@ def print_live_status(text, *, final=False):
def _discover_test_catalog():
loader = unittest.TestLoader()
catalog = {}
for test_file in sorted(SAFETY_TESTS_DIR.glob("test_*.py")):
test_files = [*sorted(SAFETY_TESTS_DIR.glob("test_*.py")),
ROOT / "opendbc" / "bluepilot_lateral" / "tests" / "test_angle_native.py"]
for test_file in test_files:
module_name = ".".join(test_file.relative_to(ROOT).with_suffix("").parts)
suite = loader.loadTestsFromName(module_name)
catalog[test_file.name] = [t.id() for group in suite for t in group]
@@ -574,7 +574,7 @@ class TestGmBoltPedalSafety(unittest.TestCase):
bolt_pedal_main_ts_nanos=car_state.bolt_pedal_main_ts_nanos,
cam_lka_steering_cmd_counter=0, loopback_lka_steering_cmd_updated=False,
loopback_lka_steering_cmd_ts_nanos=1_000_000_000, pt_lka_steering_cmd_counter=0,
buttons_counter=0)
buttons_counter=0, steering_authority=car_state.steering_authority)
_, commands = controller.update(control.as_reader(), cs, 1_000_000_000)
acc_pedal = candidate == CAR.CHEVROLET_BOLT_ACC_2022_2023_PEDAL
self.assertEqual([msg[0] for msg in commands], ([0x3D1] if not acc_pedal else []) +
@@ -110,15 +110,13 @@ class TestHondaStockAol(unittest.TestCase):
def test_blocked_normal_edge_is_not_replayed_after_sources_recover(self):
for case in CASES:
for blocked in ("eps", "reverse", "heartbeat", "brake", "missing", "expired", "request_expired"):
for blocked in ("eps", "reverse", "brake", "missing", "expired", "request_expired"):
with self.subTest(case=case[0], blocked=blocked):
self.configure(case)
self.stream(eps=7 if blocked == "eps" else 0, gear=2 if blocked == "reverse" else None,
brake=int(blocked == "brake"), omit="STEER_STATUS" if blocked == "missing" else None)
self.assertEqual(self.safety.aol_get_permission_mask(), 0)
if blocked == "heartbeat":
self.safety.set_aol_test_heartbeat(False)
elif blocked in ("expired", "request_expired"):
if blocked in ("expired", "request_expired"):
self.safety.set_timer(1_300_001)
if blocked == "expired":
self.safety.aol_set_host_request(1)
@@ -235,3 +233,120 @@ class TestHondaStockAol(unittest.TestCase):
self.stream(main=False)
self.stream(main=True, lkas=1)
self.assertEqual(self.safety.aol_get_permission_mask(), 0)
def test_cold_valid_normal_grant_precedes_engaged_heartbeat(self):
for case in CASES:
for button in ((3, 4) if case[2] in (10, 11) else (3,)):
with self.subTest(case=case[0], button=button):
self.configure(case)
self.safety.set_aol_test_heartbeat(False)
self.stream(request=False)
self.normal_engage(button=button)
self.assertEqual(self.safety.aol_get_request_mask(), 0)
self.assertEqual(self.safety.aol_get_permission_mask(), 0)
self.safety.set_timer(1_010_000)
self.safety.aol_set_host_request(3)
self.safety.set_aol_test_heartbeat(True)
self.assertEqual(self.safety.aol_get_permission_mask(), 3 if self.scoped else 0)
self.press_brake()
self.assertFalse(self.safety.get_controls_allowed())
self.assertEqual(self.safety.aol_get_permission_mask(), 1 if self.scoped else 0)
def test_prior_session_new_lkas_survives_status_before_request_and_heartbeat(self):
for case in CASES:
with self.subTest(case=case[0]):
self.configure(case)
self.stream()
self.normal_engage()
self.safety.aol_set_host_request(3)
self.assertEqual(self.safety.aol_get_permission_mask(), 3 if self.scoped else 0)
self.press_brake()
self.safety.set_aol_test_heartbeat(False)
self.safety.aol_set_host_request(0)
self.safety.set_timer(1_010_000)
self.stream(cruise=1, request=False) # New neutral after old session loss.
self.stream(cruise=1, lkas=1, request=False)
self.assertFalse(self.safety.get_controls_allowed())
self.assertEqual(self.safety.aol_get_request_mask(), 0) # Actual first status order.
self.assertEqual(self.safety.aol_get_permission_mask(), 0)
self.safety.set_timer(1_020_000)
self.safety.aol_set_host_request(1)
self.safety.set_aol_test_heartbeat(True)
self.assertEqual(self.safety.aol_get_request_mask(), 1 if self.scoped else 0)
self.assertEqual(self.safety.aol_get_permission_mask(), 1 if self.scoped else 0)
self.safety.set_aol_test_heartbeat(False)
self.assertEqual(self.safety.aol_get_permission_mask(), 0) # Active grant still revoked.
self.safety.set_aol_test_heartbeat(True)
self.stream(cruise=1, lkas=1)
self.assertEqual(self.safety.aol_get_permission_mask(), 0) # Held button cannot replay.
def test_pending_physical_grant_requires_post_gesture_request(self):
for case in CASES:
with self.subTest(case=case[0]):
self.configure(case)
self.safety.set_aol_test_heartbeat(False)
self.stream()
self.safety.set_timer(1_010_000)
self.stream(lkas=1, request=False)
self.safety.set_aol_test_heartbeat(True)
self.assertEqual(self.safety.aol_get_permission_mask(), 0) # Previous request is insufficient.
self.safety.set_timer(1_020_000)
self.safety.aol_set_host_request(1)
self.assertEqual(self.safety.aol_get_permission_mask(), 1 if self.scoped else 0)
def test_expired_pending_heartbeat_and_sources_require_new_gesture(self):
for case in CASES:
for loss in ("heartbeat_expired", "eps_source", "gear_source", "main_source", "host_expired", "relay", "eps_invalid", "rx_checksum"):
with self.subTest(case=case[0], loss=loss):
self.configure(case)
self.safety.set_aol_test_heartbeat(False)
self.stream(request=False)
self.normal_engage()
self.assertEqual(self.safety.aol_get_permission_mask(), 0)
self.safety.aol_set_host_request(0)
if loss in ("heartbeat_expired", "eps_source", "gear_source", "main_source", "host_expired"):
self.safety.set_timer(1_300_001)
source = {"eps_source": "STEER_STATUS", "gear_source": case[6],
"main_source": "SCM_BUTTONS" if self.alt else "SCM_FEEDBACK"}.get(loss)
self.stream(cruise=1, omit=source, request=False)
if loss != "host_expired":
self.safety.aol_set_host_request(0)
elif loss == "relay":
self.safety.set_relay_malfunction(True)
elif loss == "rx_checksum":
invalid = self.packet("POWERTRAIN_DATA", {"ACC_STATUS": 1})
invalid.data[7] ^= 1
self.assertFalse(self.safety.safety_rx_hook(invalid))
else:
self.stream(cruise=1, eps=7, request=False)
self.assertEqual(self.safety.aol_get_permission_mask(), 0)
self.safety.set_relay_malfunction(False)
self.safety.set_aol_test_heartbeat(True)
self.stream(cruise=1)
self.press_brake()
self.safety.aol_set_host_request(3)
self.assertFalse(self.safety.get_controls_allowed())
self.assertEqual(self.safety.aol_get_permission_mask(), 0)
self.stream(cruise=0)
self.normal_engage()
self.press_brake()
self.safety.aol_set_host_request(1)
self.assertEqual(self.safety.aol_get_permission_mask(), 1 if self.scoped else 0)
def test_pending_grant_clock_wrap_and_deadline(self):
for case in CASES:
for delay in (100_000, 300_000, 300_001):
with self.subTest(case=case[0], delay=delay):
self.configure(case)
self.safety.set_timer(0xffff_0000)
self.safety.set_aol_test_heartbeat(False)
self.stream(request=False)
self.stream(lkas=1, request=False)
self.safety.set_timer((0xffff_0000 + delay) & 0xffff_ffff)
self.stream(lkas=1, request=False) # Actual fresh CAN, held level, no new edge.
self.safety.aol_set_host_request(0)
self.assertEqual(self.safety.aol_get_permission_mask(), 0)
self.safety.set_aol_test_heartbeat(True)
self.safety.aol_set_host_request(1)
self.assertEqual(self.safety.aol_get_permission_mask(),
int(self.scoped and delay <= 300_000))
@@ -31,11 +31,11 @@ class TestHyundaiCanfdBase(HyundaiButtonBase, common.CarSafetyTest, common.Drive
STANDSTILL_THRESHOLD = 12 # 0.375 kph
FWD_BLACKLISTED_ADDRS = {2: [0x50, 0x2a4]}
MAX_RATE_UP = 2
MAX_RATE_UP = 10
MAX_RATE_DOWN = 3
MAX_TORQUE_LOOKUP = [0], [270]
MAX_TORQUE_LOOKUP = [0], [409]
MAX_RT_DELTA = 112
MAX_RT_DELTA = 375
DRIVER_TORQUE_ALLOWANCE = 250
DRIVER_TORQUE_FACTOR = 2
@@ -0,0 +1,133 @@
import unittest
from types import SimpleNamespace
from opendbc.can import CANPacker
from opendbc.car import structs
from opendbc.car.hyundai.hyundaicanfd import create_steering_messages
from opendbc.car.hyundai.values import CAR, HyundaiFlags, CarControllerParams
from opendbc.car.lateral import apply_driver_steer_torque_limits
from opendbc.safety.tests.libsafety import libsafety_py
class TestHyundaiCanfdTorqueEnvelope(unittest.TestCase):
def setUp(self):
self.safety = libsafety_py.libsafety
self.release = self.safety.set_safety_hooks(structs.CarParams.SafetyModel.allOutput, 0) != 0
self.packer = CANPacker('hyundai_canfd_generated')
def tearDown(self):
self.safety.init_tests()
self.safety.set_alternative_experience(0)
self.safety.set_safety_hooks(structs.CarParams.SafetyModel.noOutput, 0)
def mode(self, word):
self.safety.set_alternative_experience(0)
self.assertEqual(self.safety.set_safety_hooks(structs.CarParams.SafetyModel.hyundaiCanfd, word), 0)
self.safety.init_tests()
self.safety.set_timer(0)
self.word = word
def tx(self, frame):
return bool(self.safety.safety_tx_hook(libsafety_py.make_CANPacket(frame[0], frame[2], frame[1])))
def frames(self, torque):
flags = HyundaiFlags.CANFD | (HyundaiFlags.CANFD_LKA_STEER_MSG if self.word & 16 else 0)
if self.word & 128:
flags |= HyundaiFlags.CANFD_LKA_STEER_MSG_ALT
cp = SimpleNamespace(carFingerprint=CAR.HYUNDAI_TUCSON_4TH_GEN, flags=int(flags),
openpilotLongitudinalControl=bool(self.word & 4) and not self.release)
return create_steering_messages(self.packer, cp, SimpleNamespace(ECAN=1 if self.word & 16 else 0, ACAN=0), True, True, torque)
def previous(self, torque, driver=0):
self.safety.set_desired_torque_last(torque)
self.safety.set_rt_torque_last(torque)
for counter in range(6):
frame = self.packer.make_can_msg('MDPS', 1 if self.word & 16 else 0,
{'COUNTER': counter, 'MDPS_StrTqSnsrVal': driver, 'MDPS_OutTqVal': 0})
self.assertTrue(self.safety.safety_rx_hook(libsafety_py.make_CANPacket(frame[0], frame[2], frame[1])))
self.safety.set_controls_allowed(True)
def test_host_unwind_speed_transition_and_driver_override(self):
for word in (0x11, 0x91, 9):
for vehicle in (CAR.KIA_EV6, CAR.KIA_CARNIVAL_HEV_4TH_GEN):
for sign in (-1, 1):
for speed, expected in ((14.999, 401 if vehicle == CAR.KIA_EV6 else 406), (15., 406)):
with self.subTest(word=hex(word), vehicle=vehicle, sign=sign, speed=speed):
self.mode(word)
self.previous(sign * 409, -sign * 500)
cp = SimpleNamespace(flags=int(HyundaiFlags.CANFD), carFingerprint=vehicle)
output = apply_driver_steer_torque_limits(0, sign * 409, -sign * 500, CarControllerParams(cp, speed))
self.assertEqual(output, sign * expected)
self.assertTrue(self.tx(self.frames(output)[0]))
if speed < 15 and vehicle == CAR.KIA_EV6:
self.safety.set_timer(10_000)
next_output = apply_driver_steer_torque_limits(0, output, -sign * 500, CarControllerParams(cp, 15.))
self.assertEqual(next_output, sign * 398)
self.assertTrue(self.tx(self.frames(next_output)[0]))
self.previous(sign * 409, -sign * 500)
self.assertFalse(self.tx(self.frames(sign * 407)[0]))
self.previous(sign)
crossing = apply_driver_steer_torque_limits(-sign * 409, sign, 0, CarControllerParams(cp, speed))
self.assertEqual(crossing, sign * (1 - (8 if speed < 15 and vehicle == CAR.KIA_EV6 else 3)))
self.assertTrue(self.tx(self.frames(crossing)[0]))
def test_real_clock_ramp_and_absolute_cap(self):
for word in (0x11, 0x91, 9):
for sign in (-1, 1):
with self.subTest(word=hex(word), sign=sign):
self.mode(word)
self.previous(0)
self.assertFalse(self.tx(self.frames(sign * 409)[0]))
self.previous(0)
for tick in range(42):
self.safety.set_timer(tick * 10_000)
self.assertTrue(self.tx(self.frames(sign * min(tick * 10, 409))[0]))
self.previous(sign * 409)
self.assertFalse(self.tx(self.frames(sign * 410)[0]))
self.previous(0)
self.assertFalse(self.tx(self.frames(sign * 11)[0]))
for clock in (250_000, 250_001):
self.mode(word)
self.previous(sign * 375)
self.safety.set_rt_torque_last(0)
self.safety.set_timer(clock)
self.assertTrue(self.tx(self.frames(sign * 375)[0]))
self.assertEqual(self.tx(self.frames(sign * 376)[0]), clock > 250_000)
def test_all_hda2_long_secondary_frames_require_single_limited_primary(self):
for word in (0x14, 0x15, 0x16, 0x34, 0x35, 0x36, 0x94, 0x95, 0x96, 0xB4, 0xB5, 0xB6):
for sign in (-1, 1):
for fault in ('unpaired', 'different', 'expired', 'replacement', 'checksum', 'body'):
with self.subTest(word=hex(word), sign=sign, fault=fault):
self.mode(word)
self.previous(sign * 409)
frames = self.frames(sign * 409)
if self.release:
self.assertEqual(len(frames), 1)
self.assertTrue(self.tx(frames[0]))
lfa = self.packer.make_can_msg('LFA', 1, {'StrTqReqVal': sign * 409, 'ActToiSta': 1})
self.assertFalse(self.tx(lfa))
continue
source, mirror = frames
self.assertFalse(self.tx(mirror))
self.previous(sign * 409)
self.assertTrue(self.tx(source))
if fault == 'unpaired':
self.assertTrue(self.tx(mirror))
elif fault == 'different':
self.assertFalse(self.tx(self.frames(sign * 384)[1]))
elif fault == 'expired':
self.safety.set_timer(10_001)
self.assertFalse(self.tx(mirror))
elif fault == 'replacement':
self.assertFalse(self.tx(self.frames(sign * 410)[0]))
elif fault == 'body':
name = 'LKAS_ALT' if word & 128 else 'LKAS'
forged = self.packer.make_can_msg(name, 0, {'LKA_OptUsmSta': 2, 'LKA_SysIndReq': 2,
'StrTqReqVal': sign * 409, 'ActToiSta': 1, 'Damping_Gain': 99})
self.assertFalse(self.tx(forged))
else:
data = bytearray(mirror[1])
data[0] ^= 1
self.assertFalse(self.tx((mirror[0], bytes(data), mirror[2])))
self.assertFalse(self.tx(mirror))

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