mirror of
https://github.com/firestar5683/StarPilot.git
synced 2026-11-12 07:23:45 +08:00
Track Ioniq Force Stop braking to the remaining stop distance
This commit is contained in:
@@ -277,6 +277,8 @@ struct StarPilotLongitudinalPlan @0xda96579883444c35 {
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modelMonoTime @2 :UInt64;
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driveStartMonoTime @3 :UInt64;
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forceStopHolding @4 :Bool;
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forceStopBraking @5 :Bool;
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forceStopEpisodeMonoTime @6 :UInt64;
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}
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struct SlcState @0xa1680744031fdb2d {
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@@ -1571,3 +1573,4 @@ struct LiveTrackingResponseWitness @0xdaa1a9f0d8968e31 {
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windowStartMonoTime @4 :UInt64; independentPoses @5 :UInt16;
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residualRmse @6 :Float64; validUntilMonoTime @7 :UInt64;
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}
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@@ -1,4 +1,5 @@
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import numpy as np
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import math
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from opendbc.car.structs import car
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from openpilot.common.realtime import DT_CTRL
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from openpilot.selfdrive.controls.lib.drive_helpers import CONTROL_N
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@@ -96,6 +97,9 @@ class LongControl:
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output_accel -= self.stopping_decel_rate * DT_CTRL # m/s^2/s while trying to stop
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if self.extension is not None:
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output_accel = self.extension.stopping_output(output_accel, a_target, should_stop, CS)
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if (context.force_stop_braking and self.extension is not None and self.extension.ioniq6_start is not None and
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should_stop and not CS.standstill and CS.vEgo > .3 and math.isfinite(a_target)):
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output_accel = min(a_target, 0.0)
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self.reset(reset_start=False)
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elif self.long_control_state == LongCtrlState.starting and self.extension is not None and self.extension.starting:
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@@ -119,3 +123,4 @@ class LongControl:
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output_accel = min(output_accel, planner_target)
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self.last_output_accel = np.clip(output_accel, accel_limits[0], accel_limits[1])
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return self.last_output_accel
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@@ -32,6 +32,7 @@ from openpilot.starpilot.longitudinal.ioniq6_start import eligible as ioniq6_lon
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from openpilot.starpilot.longitudinal.lane_change_gap import LaneChangeGap, project as project_lane_gap
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from openpilot.starpilot.longitudinal.experimental_release import ConditionalHandoff, ExperimentalRelease, project as project_release
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from openpilot.starpilot.longitudinal.force_stop import StopPlan
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from openpilot.starpilot.longitudinal.force_stop_braking import distance_target
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from openpilot.starpilot.longitudinal.follow_jerk import FollowJerk
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from openpilot.starpilot.longitudinal.lead_takeoff import LeadTakeoff, project as project_takeoff
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from openpilot.starpilot.longitudinal.lead_behavior import adjust as adjust_lead_behavior
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@@ -409,6 +410,9 @@ class LongitudinalPlanner:
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candidates = [(output_a_target_mpc, self.mpc.source, output_should_stop_mpc),
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(self.a_cruise, LongitudinalPlanSource.cruise, cruise_should_stop)]
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if self.ioniq6_throttle_gate_enabled and self.force_stop_plan.forcing and self.force_stop_plan.obstacle_m is not None:
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stop_target = distance_target(v_ego, sm['carState'].aEgo, self.force_stop_plan.obstacle_m, action_t)
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candidates.append((stop_target, LongitudinalPlanSource.cruise, False))
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if sm['selfdriveState'].experimentalMode:
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candidates.append((output_a_target_e2e, LongitudinalPlanSource.e2e, output_should_stop_e2e))
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@@ -510,5 +514,9 @@ class LongitudinalPlanner:
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hold.modelMonoTime = longitudinalPlan.modelMonoTime
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hold.driveStartMonoTime = self.plan_drive_id
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hold.forceStopHolding = bool(self.force_stop_plan.manual_hold)
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hold.forceStopBraking = bool(self.ioniq6_throttle_gate_enabled and self.force_stop_plan.forcing and
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self.force_stop_plan.should_stop)
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hold.forceStopEpisodeMonoTime = self.force_stop_plan.episode_ns
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pm.send('longitudinalPlan', plan_send)
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pm.send('starpilotLongitudinalPlan', companion)
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@@ -24,6 +24,7 @@ class LongitudinalContext:
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custom_acceleration: bool | None = None
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profile_max_accel: float | None = None
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faster_takeoffs: bool = False
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force_stop_braking: bool = False
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class LongitudinalExtension:
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@@ -164,3 +165,4 @@ def create_extension(cp, startup_preferences=None):
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not extension.ignore_cruise_standstill):
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return None
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return extension
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@@ -4,6 +4,7 @@ from dataclasses import dataclass
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import math
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from openpilot.common.realtime import DT_MDL
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from openpilot.starpilot.longitudinal.force_stop_braking import STOP_RESERVE_M
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STANDSTILL_HOLD_NS = 2_000_000_000
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STANDSTILL_CLEAR_NS = 750_000_000
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@@ -22,9 +23,12 @@ class StopTune:
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jerk_scale: float = 0.32
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reanchor_speed_tolerance: float | None = None
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low_speed_hold_mps: float | None = None
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distance_control: bool = False
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def vehicle_tune(fingerprint: str) -> StopTune:
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if fingerprint == 'HYUNDAI_IONIQ_6':
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return StopTune(distance_control=True)
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if fingerprint == 'TOYOTA_CAMRY_TSS2':
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return StopTune(handoff_m=4.5, distance_bias_m=6.0)
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if fingerprint == 'HYUNDAI_ELANTRA_2021':
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@@ -72,6 +76,7 @@ class StopPlan:
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takeoff_light_observed: bool = False
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takeoff_light: bool = False
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resume_override: bool = False
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episode_ns: int = 0
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class ForceStop:
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@@ -96,6 +101,8 @@ class ForceStop:
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self.previously_enabled = False
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self.distance = 0.0
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self.distance_cap = 0.0
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self.episode_ns = 0
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self.stop_requested = False
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def _clear_standstill(self):
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self.standstill_since_ns = 0
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@@ -208,6 +215,7 @@ class ForceStop:
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offset = max(-20, min(20, offset_ft)) * .3048
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approach = 0.0
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ceiling = None
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native_stop = False
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if force and not overridden:
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if self.entry_speed is None and not frame.standstill:
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self.entry_speed = speed
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@@ -215,8 +223,11 @@ class ForceStop:
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if held:
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self.distance = 0
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ceiling = 0.0
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native_stop = True
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else:
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self.distance = max(0.0, self.distance - speed * dt)
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self.distance -= speed * dt
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if not tune.distance_control:
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self.distance = max(0.0,self.distance)
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if (available and not frame.sign and self.distance > max(tune.handoff_m, 40) and not frame.model_should_stop and
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horizon > self.distance + 3 and (tune.reanchor_speed_tolerance is None or self.entry_speed is None or
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speed >= self.entry_speed - tune.reanchor_speed_tolerance)):
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@@ -231,6 +242,9 @@ class ForceStop:
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effective = self.distance + offset + tune.distance_bias_m
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decel = SIGN_APPROACH_DECEL if frame.sign else MODEL_APPROACH_DECEL
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ceiling = math.sqrt(2 * decel * max(0, effective - tune.handoff_m))
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native_stop = ceiling <= .5
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if tune.distance_control:
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ceiling = math.sqrt(2 * decel * max(0, effective - STOP_RESERVE_M))
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else:
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self.forcing = False
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self.entry_speed = None
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@@ -243,12 +257,21 @@ class ForceStop:
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if effective > tune.handoff_m:
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ceiling = math.sqrt(2 * MODEL_APPROACH_DECEL * (effective - tune.handoff_m))
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self.previously_enabled = frame.enabled
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self.stop_requested = bool(self.forcing and (self.stop_requested or native_stop))
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if self.forcing and not self.episode_ns:
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self.episode_ns = now
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elif not self.forcing:
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self.episode_ns = 0
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stop_length = self.distance if self.forcing else approach
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# The MPC obstacle includes its standing-distance term; adding it at the
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# native boundary avoids moving the actual stop line by that buffer.
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obstacle = (stop_length * .93 + offset + tune.distance_bias_m
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if stop_length > 0 and stop_length + offset > tune.handoff_m else None)
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return StopPlan(now, ceiling, obstacle, self.forcing, bool(self.forcing and ceiling is not None and ceiling <= .5),
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self.distance if self.forcing else 0.0, approach,
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if tune.distance_control and self.forcing:
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obstacle = max(0.0, self.distance * .93 + offset + tune.distance_bias_m)
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should_stop = self.stop_requested if tune.distance_control else bool(self.forcing and ceiling is not None and ceiling <= .5)
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return StopPlan(now, ceiling, obstacle, self.forcing, should_stop,
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max(0.0,self.distance) if self.forcing else 0.0, approach,
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tune.jerk_scale if self.forcing or approach > 0 else 1.0, bool(held and self.forcing and not overridden),
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resume_override=now < self.resume_until_ns)
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resume_override=now < self.resume_until_ns, episode_ns=self.episode_ns)
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@@ -0,0 +1,39 @@
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"""Ioniq 6 distance braking under the existing Force Stop stop/hold intent."""
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import math
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MAX_AGE_NS = 150_000_000
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STOP_RESERVE_M = .5
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MIN_ACCEL = -3.5
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def distance_target(speed, acceleration, distance, delay):
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if (not all(math.isfinite(x) for x in (speed, acceleration, distance, delay)) or
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speed < 0 or distance < 0 or not 0 <= delay <= 2):
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return MIN_ACCEL
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remaining = distance - speed * delay - .5 * max(acceleration, 0.) * delay**2 - STOP_RESERVE_M
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future_speed = speed + max(acceleration, 0.) * delay
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return max(MIN_ACCEL, -future_speed**2 / (2 * max(remaining, .01)))
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def current_braking(sm, now_ns):
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try:
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device, plan, stop = (sm[name] for name in ('deviceState', 'longitudinalPlan', 'starpilotLongitudinalPlan'))
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drive = int(device.startedMonoTime)
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if not device.started or not 0 < drive < now_ns or not plan.shouldStop:
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return False
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for name in ('carState', 'deviceState', 'longitudinalPlan', 'starpilotLongitudinalPlan'):
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stamp, receipt = int(sm.logMonoTime[name]), int(sm.recv_time[name] * 1e9)
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maximum = 1_250_000_000 if name == 'deviceState' else MAX_AGE_NS
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if (not sm.seen[name] or not sm.valid[name] or not sm.alive[name] or
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not drive < stamp <= receipt <= now_ns or now_ns - stamp > maximum):
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return False
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return bool(stop.version == 1 and stop.forceStopBraking and stop.driveStartMonoTime == drive and
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drive < stop.forceStopEpisodeMonoTime <= stop.modelMonoTime <= stop.sourcePlanMonoTime <= now_ns and
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stop.sourcePlanMonoTime == sm.logMonoTime['longitudinalPlan'] and
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stop.sourcePlanMonoTime == sm.logMonoTime['starpilotLongitudinalPlan'] and
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stop.modelMonoTime == plan.modelMonoTime and now_ns - stop.modelMonoTime <= MAX_AGE_NS and
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sm['carState'].canValid and not sm['carState'].canTimeout and
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not sm['carState'].brakePressed and not sm['carState'].gasPressed)
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except (AttributeError, KeyError, TypeError, ValueError, OverflowError):
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return False
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@@ -131,6 +131,8 @@ class LongitudinalInputs:
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@property
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def optional_services(self):
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if self.ioniq6_start_enabled:
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return ['radarState', 'deviceState', 'starpilotLongitudinalPlan']
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if (self.toyota_sienna_replay or self.toyota_sienna_production or self.toyota_corolla_stop or
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self.ioniq6_start_enabled or self.gm_start_enabled or self.gm_volt_enabled or self.gm_euv_enabled or
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self.gm_cc_enabled or self.gm_cc_stop_enabled or self.gm_ascm_enabled or self.gm_suburban_enabled):
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@@ -151,6 +153,9 @@ class LongitudinalInputs:
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def context(self, active):
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context = self._vehicle_context(active)
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if active and self.ioniq6_start_enabled:
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from openpilot.starpilot.longitudinal.force_stop_braking import current_braking
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context = replace(context, force_stop_braking=current_braking(self.sm, time.monotonic_ns()))
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self.faster_takeoffs = bool(self.takeoff_preferences is not None and
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self.takeoff_preferences.sample(time.monotonic_ns()))
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if not self.faster_takeoffs:
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@@ -424,3 +429,4 @@ class LongitudinalInputs:
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return None
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return PedalStartEvidence(drive_id, now_ns, any(lead.present for lead in leads), traffic_mode=traffic_mode,
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custom_acceleration=profile.custom_acceleration if profile is not None else False, profile_max_accel=ceiling)
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@@ -15,11 +15,46 @@ def frame(tick, **changes):
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class ForceStopTests(unittest.TestCase):
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def test_ioniq_positive_offset_continues_to_consume_remaining_distance(self):
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owner = ForceStop()
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tune = vehicle_tune('HYUNDAI_IONIQ_6')
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for tick in range(100):
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plan = owner.step(frame(tick,speed_mps=4.,horizon_m=10.),tune,8)
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self.assertTrue(plan.should_stop)
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self.assertEqual(plan.tracked_distance_m,0.)
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self.assertEqual(plan.obstacle_m,0.)
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def test_ioniq_keeps_rolling_goal_and_stop_intent_separate(self):
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owner = ForceStop()
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tune = vehicle_tune('HYUNDAI_IONIQ_6')
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for tick in range(35):
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plan = owner.step(frame(tick,speed_mps=4.,horizon_m=10.),tune)
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if plan.forcing and plan.tracked_distance_m < 6:
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self.assertTrue(plan.should_stop)
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self.assertGreater(plan.speed_ceiling_mps,.5)
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self.assertIsNotNone(plan.obstacle_m)
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self.assertTrue(plan.should_stop)
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def test_episode_is_retained_until_release_and_new_commit_gets_new_identity(self):
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owner = ForceStop()
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tune = vehicle_tune('HYUNDAI_IONIQ_6')
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for tick in range(20):
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plan = owner.step(frame(tick),tune)
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episode = plan.episode_ns
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self.assertGreater(episode,BASE)
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for tick in range(20,30):
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self.assertEqual(owner.step(frame(tick),tune).episode_ns,episode)
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self.assertEqual(owner.step(frame(30,pedal_override=True),tune).episode_ns,0)
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for tick in range(31,260):
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plan = owner.step(frame(tick),tune)
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self.assertGreater(plan.episode_ns,episode)
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def setUp(self):
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self.owner = ForceStop()
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self.tune = vehicle_tune('HYUNDAI_IONIQ_6')
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def test_original_approach_commit_kinematics_and_obstacle(self):
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self.tune = vehicle_tune('OTHER')
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for tick in range(40):
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plan = self.owner.step(frame(tick, model_should_stop=True), self.tune)
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# The existing 0.5s accumulator crosses .5 on frame 10 with binary floats.
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@@ -260,6 +295,7 @@ class ForceStopTests(unittest.TestCase):
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self.assertLessEqual(plan.tracked_distance_m, cap - .5 + 15)
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def test_offset_and_handoff_keep_native_should_stop(self):
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self.tune = vehicle_tune('OTHER')
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for offset in (-20, 0, 20):
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with self.subTest(offset=offset):
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self.owner.reset()
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@@ -0,0 +1,125 @@
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from types import SimpleNamespace as NS
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from unittest import TestCase
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import math
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import tempfile
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from unittest.mock import patch
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from openpilot.starpilot.longitudinal.force_stop_braking import current_braking, distance_target
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BASE = 100_000_000_000
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NOW = BASE+1_000_000_000
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def inputs():
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class Messages(dict):
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pass
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sm = Messages(deviceState=NS(started=True,startedMonoTime=BASE),
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carState=NS(canValid=True,canTimeout=False,brakePressed=False,gasPressed=False),
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longitudinalPlan=NS(shouldStop=True,modelMonoTime=NOW-20_000_000),
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starpilotLongitudinalPlan=NS(version=1,forceStopBraking=True,driveStartMonoTime=BASE,
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forceStopEpisodeMonoTime=BASE+1,modelMonoTime=NOW-20_000_000,sourcePlanMonoTime=NOW-10_000_000))
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sm.logMonoTime = dict.fromkeys(sm,NOW-10_000_000)
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sm.recv_time = dict.fromkeys(sm,(NOW-5_000_000)/1e9)
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sm.valid = dict.fromkeys(sm,True)
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sm.alive = dict.fromkeys(sm,True)
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sm.seen = dict.fromkeys(sm,True)
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return sm
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class ForceStopBrakingTests(TestCase):
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def test_only_current_matching_stop_intent_qualifies(self):
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self.assertTrue(current_braking(inputs(),NOW))
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for field,value in [('version',0),('forceStopBraking',False),('driveStartMonoTime',BASE-1),
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('forceStopEpisodeMonoTime',BASE),('forceStopEpisodeMonoTime',NOW+1),
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('modelMonoTime',NOW-21_000_000),('sourcePlanMonoTime',NOW-11_000_000)]:
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with self.subTest(field=field,value=value):
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sm = inputs()
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setattr(sm['starpilotLongitudinalPlan'],field,value)
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self.assertFalse(current_braking(sm,NOW))
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def test_withdrawal_override_or_stale_source_keeps_original_stop(self):
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for field in ['brakePressed','gasPressed','canTimeout']:
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sm = inputs()
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setattr(sm['carState'],field,True)
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self.assertFalse(current_braking(sm,NOW))
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for name in inputs():
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for bad in ['seen','valid','alive']:
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sm = inputs()
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getattr(sm,bad)[name] = False
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self.assertFalse(current_braking(sm,NOW))
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sm = inputs()
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sm['longitudinalPlan'].shouldStop = False
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self.assertFalse(current_braking(sm,NOW))
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self.assertFalse(current_braking(inputs(),NOW+2_000_000_000))
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def test_distance_target_strengthens_with_less_room_or_more_latency(self):
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self.assertLess(distance_target(4.,0.,6.,.5),distance_target(4.,0.,12.,.5))
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self.assertLess(distance_target(4.,0.,12.,.5),distance_target(4.,0.,12.,.1))
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self.assertLessEqual(distance_target(4.,1.,12.,.5),distance_target(4.,0.,12.,.5))
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self.assertEqual(distance_target(4.,0.,0.,.5),-3.5)
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self.assertEqual(distance_target(4.,float('nan'),12.,.5),-3.5)
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self.assertEqual(distance_target(4.,0.,12.,-1.),-3.5)
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self.assertEqual(distance_target(0.,0.,0.,.5),0.)
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class NativeForceStopBrakingTests(TestCase):
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def test_actual_inputs_control_hold_and_can_request(self):
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from openpilot.cereal import messaging
|
||||
from openpilot.common.params import Params
|
||||
from openpilot.selfdrive.controls.lib.longcontrol import LongControl, LongCtrlState
|
||||
from openpilot.starpilot.longitudinal.inputs import LongitudinalInputs
|
||||
from openpilot.starpilot.longitudinal.tests.test_ioniq6_start import candidate, car_state
|
||||
from opendbc.can.packer import CANPacker
|
||||
from opendbc.car.hyundai.hyundaicanfd import create_acc_control
|
||||
from opendbc.car.hyundai.ioniq6_longitudinal import Ioniq6LongitudinalPolicy
|
||||
|
||||
stock,cp = candidate()
|
||||
sm = inputs()
|
||||
sm.all_checks = lambda names: all(sm.valid.get(name,False) for name in names)
|
||||
stop = messaging.new_message('starpilotLongitudinalPlan',valid=True)
|
||||
stop.logMonoTime = NOW-10_000_000
|
||||
for key,value in vars(sm['starpilotLongitudinalPlan']).items():
|
||||
setattr(stop.starpilotLongitudinalPlan,key,value)
|
||||
plan = messaging.new_message('longitudinalPlan',valid=True)
|
||||
plan.logMonoTime = NOW-10_000_000
|
||||
plan.longitudinalPlan.modelMonoTime = NOW-20_000_000
|
||||
plan.longitudinalPlan.shouldStop = True
|
||||
sm['starpilotLongitudinalPlan'] = messaging.log_from_bytes(stop.to_bytes()).starpilotLongitudinalPlan
|
||||
sm['longitudinalPlan'] = messaging.log_from_bytes(plan.to_bytes()).longitudinalPlan
|
||||
car = car_state(speed=4.,standstill=False)
|
||||
sm['carState'] = car
|
||||
with tempfile.TemporaryDirectory() as directory:
|
||||
reader = LongitudinalInputs(cp,Params(directory),lambda:sm)
|
||||
self.assertIn('starpilotLongitudinalPlan',reader.optional_services)
|
||||
with patch('openpilot.starpilot.longitudinal.inputs.time.monotonic_ns',return_value=NOW):
|
||||
context = reader.context(True)
|
||||
self.assertTrue(context.force_stop_braking)
|
||||
control = LongControl(cp)
|
||||
control.long_control_state = LongCtrlState.pid
|
||||
control.last_output_accel = -1.5
|
||||
result = control.update(True,car,-.8,True,(-3.5,2.),context=context)
|
||||
self.assertAlmostEqual(result,-.8)
|
||||
self.assertEqual(control.long_control_state,LongCtrlState.stopping)
|
||||
strong = control.update(True,car,-3.,True,(-3.5,2.),context=context)
|
||||
self.assertEqual(strong,-3.)
|
||||
self.assertTrue(math.isfinite(control.update(True,car,math.nan,True,(-3.5,2.),context=context)))
|
||||
with patch('openpilot.starpilot.longitudinal.inputs.time.monotonic_ns',return_value=NOW+200_000_000):
|
||||
stale = reader.context(True)
|
||||
self.assertFalse(stale.force_stop_braking)
|
||||
control.last_output_accel = -.8
|
||||
self.assertLess(control.update(True,car,-.8,True,(-3.5,2.),context=stale),-.8)
|
||||
stopped = car_state()
|
||||
control.last_output_accel = -1.5
|
||||
self.assertLess(control.update(True,stopped,0.,True,(-3.5,2.),context=context),-1.5)
|
||||
policy = Ioniq6LongitudinalPolicy()
|
||||
request = policy.update(0,active=True,override=False,accel=-.8,speed=4.,measured_accel=-1.5,
|
||||
control_state=LongCtrlState.stopping,last_sent_accel=-1.5)
|
||||
packet = create_acc_control(CANPacker('hyundai_canfd_generated'),NS(ECAN=1),True,-1.5,request.accel,
|
||||
request.stopping,False,40.,NS(leadDistanceBars=2),direct_accel=True)
|
||||
bits = int.from_bytes(packet[1],'little')
|
||||
self.assertEqual((bits>>184)&1,1)
|
||||
self.assertEqual((bits>>68)&7,1)
|
||||
normal = LongControl(stock)
|
||||
normal.long_control_state = LongCtrlState.pid
|
||||
normal.last_output_accel = -1.5
|
||||
self.assertLess(normal.update(True,car,-.8,True,(-3.5,2.),context=context),-1.5)
|
||||
@@ -1 +0,0 @@
|
||||
{"protected_inventory_sha256": "0a96cfa499ada974607b1255975f78be11f09ce5f3d1904e2a27598ca08e3d07", "schema_version": 1}
|
||||
@@ -270,7 +270,7 @@ class SchemaPolicyTest(unittest.TestCase):
|
||||
original = b'forceStopHolding @4 :Bool;'
|
||||
self.assertIn(original, self.schemas[path])
|
||||
appended = self.schemas.copy()
|
||||
appended[path] = appended[path].replace(original, original + b'\n futureStatus @5 :UInt32;')
|
||||
appended[path] = appended[path].replace(original, original + b'\n futureStatus @7 :UInt32;')
|
||||
self.assertEqual(validate(appended, self.policy, self.sync), [])
|
||||
for replacement in (b'', b'forceStopHolding @5 :Bool;', b'forceStopHolding @4 :UInt32;',
|
||||
b'changedHold @4 :Bool;'):
|
||||
@@ -474,3 +474,4 @@ class SchemaPolicyTest(unittest.TestCase):
|
||||
changed = self.schemas.copy()
|
||||
changed[path] = changed[path].replace(original, original + b'\n duplicate @12 :Text;', 1)
|
||||
self.assertTrue(any('Duplicate member name or ordinal' in error for error in validate(changed, self.policy, self.sync)))
|
||||
|
||||
|
||||
Reference in New Issue
Block a user