openpilot v0.5.3 release

Merge opendbc subtree
Squashed 'opendbc/' changes from 2210752..af7fff8
2026-06-20 13:32:04 +08:00 · 2018-09-03 16:43:12 -07:00 · 2018-09-03 16:41:18 -07:00 · 2018-09-03 16:41:18 -07:00 · 2018-09-03 16:41:16 -07:00 · 2018-09-03 16:41:16 -07:00
2721 changed files with 238614 additions and 672863 deletions
@@ -1,19 +0,0 @@
---
-Checks: '
-bugprone-*,
-bugprone-integer-division,
-bugprone-narrowing-conversions,
-performance-*,
-clang-analyzer-*,
-misc-*,
-misc-unused-parameters,
-modernize-*,
-modernize-avoid-c-arrays,
-modernize-deprecated-headers,
-modernize-use-auto,
-modernize-use-using,
-modernize-use-nullptr,
-modernize-use-trailing-return-type,
-'
-CheckOptions:
-...
@@ -1,39 +0,0 @@
-**/.git
-.DS_Store
-*.dylib
-*.DSYM
-*.d
-*.pyc
-*.pyo
-.*.swp
-.*.swo
-.*.un~
-*.tmp
-*.o
-*.o-*
-*.os
-*.os-*
-*.so
-*.a
-
-venv/
-.venv/
-
-notebooks
-phone
-massivemap
-neos
-installer
-chffr/app2
-chffr/backend/env
-selfdrive/nav
-selfdrive/baseui
-selfdrive/test/simulator2
-**/cache_data
-xx/plus
-xx/community
-xx/projects
-!xx/projects/eon_testing_master
-!xx/projects/map3d
-xx/ops
-xx/junk
@@ -1,11 +0,0 @@
-root = true
-
-[*]
-end_of_line = lf
-insert_final_newline = true
-trim_trailing_whitespace = true
-
-[{*.py, *.pyx, *.pxd}]
-charset = utf-8
-indent_style = space
-indent_size = 2
@@ -1,22 +1,11 @@
-venv/
-.venv/
-.ci_cache
-.env
-.clang-format
 .DS_Store
 .tags
 .ipynb_checkpoints
 .idea
-.overlay_init
-.overlay_consistent
 .sconsign.dblite
 model2.png
 a.out
-.hypothesis

-/docs_site/
-
-*.dylib
 *.DSYM
 *.d
 *.pyc
@@ -24,84 +13,22 @@ a.out
 .*.swp
 .*.swo
 .*.un~
-*.tmp
 *.o
-*.o-*
-*.os
-*.os-*
 *.so
 *.a
 *.clb
 *.class
 *.pyxbldc
 *.vcd
-*.qm
 config.json
 clcache
-compile_commands.json
-compare_runtime*.html

-persist
-selfdrive/pandad/pandad
-cereal/services.h
-cereal/gen
-cereal/messaging/bridge
+board/obj/
+selfdrive/boardd/boardd
 selfdrive/logcatd/logcatd
-selfdrive/mapd/default_speeds_by_region.json
-system/proclogd/proclogd
-selfdrive/ui/translations/alerts_generated.h
-selfdrive/ui/translations/tmp
-selfdrive/test/longitudinal_maneuvers/out
-selfdrive/car/tests/cars_dump
-system/camerad/camerad
-system/camerad/test/ae_gray_test
-selfdrive/modeld/_modeld
-selfdrive/modeld/_dmonitoringmodeld
+selfdrive/proclogd/proclogd
+selfdrive/ui/ui
+selfdrive/test/tests/plant/out
 /src/

-notebooks
-hyperthneed
-provisioning
-
-.coverage*
-coverage.xml
-htmlcov
-pandaextra
-
-.mypy_cache/
-flycheck_*
-
-cppcheck_report.txt
-comma*.sh
-
-selfdrive/modeld/thneed/compile
-selfdrive/modeld/models/*.thneed
-selfdrive/modeld/models/*.pkl
-
-*.bz2
-
-build/
-
-!**/.gitkeep
-
-poetry.toml
-Pipfile
-
-### VisualStudioCode ###
-.vscode/*
-!.vscode/settings.json
-!.vscode/tasks.json
-!.vscode/launch.json
-!.vscode/extensions.json
-!.vscode/*.code-snippets
-
-# Local History for Visual Studio Code
-.history/
-
-# Built Visual Studio Code Extensions
-*.vsix
-
-### VisualStudioCode Patch ###
-# Ignore all local history of files
-.history
-.ionide
+one
@@ -1,41 +0,0 @@
-[importlinter]
-root_packages =
-    openpilot
-
-[importlinter:contract:1]
-name = Forbid imports from openpilot.selfdrive.car to openpilot.system
-type = forbidden
-source_modules =
-    openpilot.selfdrive.car
-forbidden_modules =
-    openpilot.system
-    openpilot.body
-    openpilot.docs
-    openpilot.msgq
-    openpilot.panda
-    openpilot.rednose
-    openpilot.release
-    openpilot.teleoprtc
-    openpilot.tinygrad
-ignore_imports =
-    openpilot.selfdrive.car.card -> openpilot.common.realtime
-    openpilot.selfdrive.car.card -> openpilot.selfdrive.controls.lib.events
-    openpilot.selfdrive.car.interfaces -> openpilot.selfdrive.controls.lib.events
-    openpilot.selfdrive.car.tests.test_models -> openpilot.tools.lib.logreader
-    openpilot.selfdrive.car.tests.test_models -> openpilot.selfdrive.car.card
-    openpilot.selfdrive.car.tests.test_models -> openpilot.tools.lib.route
-    openpilot.selfdrive.car.tests.test_models -> openpilot.system.hardware.hw
-    openpilot.selfdrive.car.tests.test_models -> openpilot.selfdrive.test.helpers
-    openpilot.selfdrive.car.isotp_parallel_query -> openpilot.common.swaglog
-    openpilot.selfdrive.car.fw_versions -> openpilot.common.swaglog
-    openpilot.selfdrive.car.disable_ecu -> openpilot.common.swaglog
-    openpilot.selfdrive.car.vin -> openpilot.common.swaglog
-    openpilot.selfdrive.car.ecu_addrs -> openpilot.common.swaglog
-    openpilot.selfdrive.car.car_helpers -> openpilot.common.swaglog
-    openpilot.selfdrive.car.car_helpers -> openpilot.system.version
-    openpilot.selfdrive.car.interfaces -> openpilot.selfdrive.controls.lib.drive_helpers
-    openpilot.selfdrive.car.tests.test_car_interfaces -> openpilot.selfdrive.controls.lib.latcontrol_angle
-    openpilot.selfdrive.car.tests.test_car_interfaces -> openpilot.selfdrive.controls.lib.longcontrol
-    openpilot.selfdrive.car.tests.test_car_interfaces -> openpilot.selfdrive.controls.lib.latcontrol_torque
-    openpilot.selfdrive.car.tests.test_car_interfaces -> openpilot.selfdrive.controls.lib.latcontrol_pid
-unmatched_ignore_imports_alerting = warn
@@ -0,0 +1,12 @@
+sudo: required
+
+services:
+  - docker
+
+install:
+  - docker build -t tmppilot -f Dockerfile.openpilot .
+
+script:
+  - docker run --rm
+      -v "$(pwd)"/selfdrive/test/tests/plant/out:/tmp/openpilot/selfdrive/test/tests/plant/out
+      tmppilot /bin/sh -c 'cd /tmp/openpilot/selfdrive/test/tests/plant && OPTEST=1 ./test_longitudinal.py'
@@ -0,0 +1,18 @@
+# How to contribute
+
+Our software is open source so you can solve your own problems without needing help from others. And if you solve a problem and are so kind, you can upstream it for the rest of the world to use.
+
+Most open source development activity is coordinated through our [slack](https://slack.comma.ai). A lot of documentation is available on our [medium](https://medium.com/@comma_ai/)
+
+## Getting Started
+
+ * Join our slack [slack.comma.ai](https://slack.comma.ai)
+ * Make sure you have a [GitHub account](https://github.com/signup/free)
+ * Fork [our repositories](https://github.com/commaai) on GitHub
+
+## Car Ports (openpilot)
+
+We've released a [Model Port guide](https://medium.com/@comma_ai/openpilot-port-guide-for-toyota-models-e5467f4b5fe6) for porting to Toyota/Lexus models.
+
+If you port openpilot to a substantially new car brand, see this more generic [Brand Port guide](https://medium.com/@comma_ai/how-to-write-a-car-port-for-openpilot-7ce0785eda84). You might also be eligible for a bounty. See our bounties at [comma.ai/bounties.html](https://comma.ai/bounties.html)
+
@@ -0,0 +1,19 @@
+FROM ubuntu:16.04
+ENV PYTHONUNBUFFERED 1
+
+RUN apt-get update && apt-get install -y build-essential clang vim screen wget bzip2 git libglib2.0-0 python-pip capnproto libcapnp-dev libzmq5-dev libffi-dev libusb-1.0-0
+RUN pip install numpy==1.11.2 scipy==0.18.1 matplotlib
+
+COPY requirements_openpilot.txt /tmp/
+RUN pip install -r /tmp/requirements_openpilot.txt
+
+ENV PYTHONPATH /tmp/openpilot:$PYTHONPATH
+
+COPY ./common /tmp/openpilot/common
+COPY ./cereal /tmp/openpilot/cereal
+COPY ./opendbc /tmp/openpilot/opendbc
+COPY ./selfdrive /tmp/openpilot/selfdrive
+COPY ./phonelibs /tmp/openpilot/phonelibs
+COPY ./pyextra /tmp/openpilot/pyextra
+
+RUN mkdir -p /tmp/openpilot/selfdrive/test/out
@@ -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 +1,9 @@
+
+code_dir := $(shell pwd)
+
+# TODO: Add a global build system
+
+.PHONY: all
+all:
+	cd selfdrive && PYTHONPATH=$(code_dir) PREPAREONLY=1 ./manager.py
+
@@ -1,78 +1,195 @@
-<div align="center" style="text-align: center;">
+[![](https://i.imgur.com/VlKV6V8.png)](#)

-<h1>openpilot</h1>
+Welcome to openpilot
+======

-<p>
-  <b>openpilot is an operating system for robotics.</b>
-  <br>
-  Currently, it upgrades the driver assistance system in 275+ supported cars.
-</p>
+[openpilot](http://github.com/commaai/openpilot) is an open source driving agent. Currently it performs the functions of Adaptive Cruise Control (ACC) and Lane Keeping Assist System (LKAS) for Hondas, Acuras, Toyotas, and a Chevy. It's about on par with Tesla Autopilot and GM Super Cruise, and better than [all other manufacturers](http://www.thedrive.com/tech/5707/the-war-for-autonomous-driving-part-iii-us-vs-germany-vs-japan).

-<h3>
-  <a href="https://docs.comma.ai">Docs</a>
-  <span> · </span>
-  <a href="https://docs.comma.ai/contributing/roadmap/">Roadmap</a>
-  <span> · </span>
-  <a href="https://github.com/commaai/openpilot/blob/master/docs/CONTRIBUTING.md">Contribute</a>
-  <span> · </span>
-  <a href="https://discord.comma.ai">Community</a>
-  <span> · </span>
-  <a href="https://comma.ai/shop">Try it on a comma 3X</a>
-</h3>
+The openpilot codebase has been written to be concise and enable rapid prototyping. We look forward to your contributions - improving real vehicle automation has never been easier.

-Quick start: `bash <(curl -fsSL openpilot.comma.ai)`
+Community
+------

-![openpilot tests](https://github.com/commaai/openpilot/actions/workflows/selfdrive_tests.yaml/badge.svg)
-[![codecov](https://codecov.io/gh/commaai/openpilot/branch/master/graph/badge.svg)](https://codecov.io/gh/commaai/openpilot)
-[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)
-[![X Follow](https://img.shields.io/twitter/follow/comma_ai)](https://x.com/comma_ai)
-[![Discord](https://img.shields.io/discord/469524606043160576)](https://discord.comma.ai)
+openpilot is developed by [comma.ai](https://comma.ai/) and users like you.

-</div>
+We have a [Twitter you should follow](https://twitter.com/comma_ai).
+
+Also, we have a 3500+ person [community on slack](https://slack.comma.ai).

 <table>
  <tr>
-    <td><a href="https://youtu.be/NmBfgOanCyk" title="Video By Greer Viau"><img src="https://github.com/commaai/openpilot/assets/8762862/2f7112ae-f748-4f39-b617-fabd689c3772"></a></td>
-    <td><a href="https://youtu.be/VHKyqZ7t8Gw" title="Video By Logan LeGrand"><img src="https://github.com/commaai/openpilot/assets/8762862/92351544-2833-40d7-9e0b-7ef7ae37ec4c"></a></td>
-    <td><a href="https://youtu.be/SUIZYzxtMQs" title="A drive to Taco Bell"><img src="https://github.com/commaai/openpilot/assets/8762862/05ceefc5-2628-439c-a9b2-89ce77dc6f63"></a></td>
+    <td><a href="https://www.youtube.com/watch?v=9TDi0BHgXyo" title="YouTube" rel="noopener"><img src="https://i.imgur.com/gBTo7yB.png"></a></td>
+    <td><a href="https://www.youtube.com/watch?v=1zCtj3ckGFo" title="YouTube" rel="noopener"><img src="https://i.imgur.com/gNhhcep.png"></a></td>
+    <td><a href="https://www.youtube.com/watch?v=Qd2mjkBIRx0" title="YouTube" rel="noopener"><img src="https://i.imgur.com/tFnSexp.png"></a></td>
+    <td><a href="https://www.youtube.com/watch?v=ju12vlBm59E" title="YouTube" rel="noopener"><img src="https://i.imgur.com/3BKiJVy.png"></a></td>
+  </tr>
+  <tr>
+    <td><a href="https://www.youtube.com/watch?v=Z5VY5FzgNt4" title="YouTube" rel="noopener"><img src="https://i.imgur.com/3I9XOK2.png"></a></td>
+    <td><a href="https://www.youtube.com/watch?v=blnhZC7OmMg" title="YouTube" rel="noopener"><img src="https://i.imgur.com/f9IgX6s.png"></a></td>
+    <td><a href="https://www.youtube.com/watch?v=iRkz7FuJsA8" title="YouTube" rel="noopener"><img src="https://i.imgur.com/Vo5Zvmn.png"></a></td>
+    <td><a href="https://www.youtube.com/watch?v=IHjEqAKDqjM" title="YouTube" rel="noopener"><img src="https://i.imgur.com/V9Zd81n.png"></a></td>
  </tr>
 </table>

-To start using openpilot in a car
+Hardware
 ------

-To use openpilot in a car, you need four things:
-1. **Supported Device:** a comma 3/3X, available at [comma.ai/shop](https://comma.ai/shop/comma-3x).
-2. **Software:** The setup procedure for the comma 3/3X allows users to enter a URL for custom software. Use the URL `openpilot.comma.ai` to install the release version.
-3. **Supported Car:** Ensure that you have one of [the 275+ supported cars](docs/CARS.md).
-4. **Car Harness:** You will also need a [car harness](https://comma.ai/shop/car-harness) to connect your comma 3/3X to your car.
+Right now openpilot supports the [EON Dashcam DevKit](https://comma.ai/shop/products/eon-dashcam-devkit). We'd like to support other platforms as well.

-We have detailed instructions for [how to install the harness and device in a car](https://comma.ai/setup). Note that it's possible to run openpilot on [other hardware](https://blog.comma.ai/self-driving-car-for-free/), although it's not plug-and-play.
+Install openpilot on a neo device by entering ``https://openpilot.comma.ai`` during NEOS setup.

-To start developing openpilot
+Supported Cars
 ------

-openpilot is developed by [comma](https://comma.ai/) and by users like you. We welcome both pull requests and issues on [GitHub](http://github.com/commaai/openpilot).
+| Make               | Model                 | Supported Package    | Lateral | Longitudinal   | No Accel Below   | No Steer Below |
+| -------------------| ----------------------| ---------------------| --------| ---------------| -----------------| ---------------|
+| Acura              | ILX 2016              | AcuraWatch Plus      | Yes     | Yes            | 25mph<sup>1</sup>| 25mph          |
+| Acura              | ILX 2017              | AcuraWatch Plus      | Yes     | Yes            | 25mph<sup>1</sup>| 25mph          |
+| Acura              | RDX 2018              | AcuraWatch Plus      | Yes     | Yes            | 25mph<sup>1</sup>| 12mph          |
+| GM<sup>3</sup>     | Volt 2017             | Driver Confidence II | Yes     | Yes            | 0mph             | 7mph           |
+| GM<sup>3</sup>     | Volt 2018             | Driver Confidence II | Yes     | Yes            | 0mph             | 7mph           |
+| Honda              | Accord 2018           | All                  | Yes     | Stock          | 0mph             | 3mph           |
+| Honda              | Civic 2016            | Honda Sensing        | Yes     | Yes            | 0mph             | 12mph          |
+| Honda              | Civic 2017            | Honda Sensing        | Yes     | Yes            | 0mph             | 12mph          |
+| Honda              | Civic 2017 *(Hatch)*  | Honda Sensing        | Yes     | Stock          | 0mph             | 12mph          |
+| Honda              | Civic 2018            | Honda Sensing        | Yes     | Yes            | 0mph             | 12mph          |
+| Honda              | Civic 2018 *(Hatch)*  | Honda Sensing        | Yes     | Stock          | 0mph             | 12mph          |
+| Honda              | CR-V 2015             | Touring              | Yes     | Yes            | 25mph<sup>1</sup>| 12mph          |
+| Honda              | CR-V 2016             | Touring              | Yes     | Yes            | 25mph<sup>1</sup>| 12mph          |
+| Honda              | CR-V 2017             | Honda Sensing        | Yes     | Stock          | 0mph             | 12mph          |
+| Honda              | CR-V 2018             | Honda Sensing        | Yes     | Stock          | 0mph             | 12mph          |
+| Honda              | Odyssey 2017          | Honda Sensing        | Yes     | Yes            | 25mph<sup>1</sup>| 0mph           |
+| Honda              | Odyssey 2018          | Honda Sensing        | Yes     | Yes            | 25mph<sup>1</sup>| 0mph           |
+| Honda              | Odyssey 2019          | Honda Sensing        | Yes     | Yes            | 25mph<sup>1</sup>| 0mph           |
+| Honda              | Pilot 2017            | Honda Sensing        | Yes     | Yes            | 25mph<sup>1</sup>| 12mph          |
+| Honda              | Pilot 2018            | Honda Sensing        | Yes     | Yes            | 25mph<sup>1</sup>| 12mph          |
+| Honda              | Pilot 2019            | All                  | Yes     | Yes            | 25mph<sup>1</sup>| 12mph          |
+| Honda              | Ridgeline 2017        | Honda Sensing        | Yes     | Yes            | 25mph<sup>1</sup>| 12mph          |
+| Honda              | Ridgeline 2018        | Honda Sensing        | Yes     | Yes            | 25mph<sup>1</sup>| 12mph          |
+| Hyundai<sup>6</sup>| Santa Fe 2019         | All                  | Yes     | Stock          | 0mph             | 0mph           |
+| Lexus              | RX Hybrid 2017        | All                  | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           |
+| Lexus              | RX Hybrid 2018        | All                  | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           |
+| Toyota             | Camry 2018<sup>4</sup>| All                  | Yes     | Stock          | 0mph<sup>5</sup> | 0mph           |
+| Toyota             | C-HR 2018<sup>4</sup> | All                  | Yes     | Stock          | 0mph             | 0mph           |
+| Toyota             | Corolla 2017          | All                  | Yes     | Yes<sup>2</sup>| 20mph            | 0mph           |
+| Toyota             | Corolla 2018          | All                  | Yes     | Yes<sup>2</sup>| 20mph            | 0mph           |
+| Toyota             | Highlander 2017       | All                  | Yes     | Yes<sup>2</sup>| 20mph            | 0mph           |
+| Toyota             | Highlander Hybrid 2018| All                  | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           |
+| Toyota             | Prius 2016            | TSS-P                | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           |
+| Toyota             | Prius 2017            | All                  | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           |
+| Toyota             | Prius 2018            | All                  | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           |
+| Toyota             | Prius Prime 2017      | All                  | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           |
+| Toyota             | Prius Prime 2018      | All                  | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           |
+| Toyota             | Rav4 2016             | TSS-P                | Yes     | Yes<sup>2</sup>| 20mph            | 0mph           |
+| Toyota             | Rav4 2017             | All                  | Yes     | Yes<sup>2</sup>| 20mph            | 0mph           |
+| Toyota             | Rav4 2018             | All                  | Yes     | Yes<sup>2</sup>| 20mph            | 0mph           |
+| Toyota             | Rav4 Hybrid 2017      | All                  | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           |
+| Toyota             | Rav4 Hybrid 2018      | All                  | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           |

-* Join the [community Discord](https://discord.comma.ai)
-* Check out [the contributing docs](docs/CONTRIBUTING.md)
-* Check out the [openpilot tools](tools/)
-* Read about the [development workflow](docs/WORKFLOW.md)
-* Code documentation lives at https://docs.comma.ai
-* Information about running openpilot lives on the [community wiki](https://github.com/commaai/openpilot/wiki)
+<sup>1</sup>[Comma Pedal](https://community.comma.ai/wiki/index.php/Comma_Pedal) is used to provide stop-and-go capability to some of the openpilot-supported cars that don't currently support stop-and-go. Here is how to [build a Comma Pedal](https://medium.com/@jfrux/comma-pedal-building-with-macrofab-6328bea791e8). ***NOTE: The Comma Pedal is not officially supported by [comma.ai](https://comma.ai)***  
+<sup>2</sup>When disconnecting the Driver Support Unit (DSU), otherwise longitudinal control is stock ACC. For DSU locations, see [Toyota Wiki page](https://community.comma.ai/wiki/index.php/Toyota)  
+<sup>3</sup>[GM installation guide](https://www.zoneos.com/volt.htm)  
+<sup>4</sup>It needs an extra 120Ohm resistor ([pic1](https://i.imgur.com/CmdKtTP.jpg), [pic2](https://i.imgur.com/s2etUo6.jpg)) on bus 3 and giraffe switches set to 01X1 (11X1 for stock LKAS), where X depends on if you have the [comma power](https://comma.ai/shop/products/power/).  
+<sup>5</sup>28mph for Camry 4CYL L, 4CYL LE and 4CYL SE which don't have Full-Speed Range Dynamic Radar Cruise Control.  
+<sup>6</sup>Giraffe is under development: architecture similar to Toyota giraffe, with an extra 120Ohm resistor on bus 3.

-Want to get paid to work on openpilot? [comma is hiring](https://comma.ai/jobs#open-positions) and offers lots of [bounties](docs/BOUNTIES.md) for external contributors.
+Community Maintained Cars
+------

-Safety and Testing
----
+| Make          | Model                     | Supported Package    | Lateral | Longitudinal   | No Accel Below   | No Steer Below |
+| -------       | ----------------------    | -------------------- | ------- | ------------   | --------------   | -------------- |
+| Honda         | Fit 2018                  | Honda Sensing        | Yes     | Yes            | 25mph<sup>1</sup>| 12mph          |

-* openpilot observes [ISO26262](https://en.wikipedia.org/wiki/ISO_26262) guidelines, see [SAFETY.md](docs/SAFETY.md) for more details.
-* openpilot has software-in-the-loop [tests](.github/workflows/selfdrive_tests.yaml) that run on every commit.
-* The code enforcing the safety model lives in panda and is written in C, see [code rigor](https://github.com/commaai/panda#code-rigor) for more details.
-* panda has software-in-the-loop [safety tests](https://github.com/commaai/panda/tree/master/tests/safety).
-* Internally, we have a hardware-in-the-loop Jenkins test suite that builds and unit tests the various processes.
-* panda has additional hardware-in-the-loop [tests](https://github.com/commaai/panda/blob/master/Jenkinsfile).
-* We run the latest openpilot in a testing closet containing 10 comma devices continuously replaying routes.
+[[Honda Fit Pull Request]](https://github.com/commaai/openpilot/pull/266).
+
+Community Maintained Cars are not confirmed by comma.ai to meet our [safety model](https://github.com/commaai/openpilot/blob/devel/SAFETY.md). Be extra cautious using them.
+
+In Progress Cars
+------
+- All TSS-P Toyota with Steering Assist.
+  - 'Full Speed Range Dynamic Radar Cruise Control' is required to enable stop-and-go. Only the Prius, Camry and C-HR have this option.
+  - Even though the Tundra, Sequoia and the Land Cruiser have TSS-P, they don't have Steering Assist and are not supported.
+- All LSS-P Lexus with Steering Assist or Lane Keep Assist.
+  - 'All-Speed Range Dynamic Radar Cruise Control' is required to enable stop-and-go. Only the GS, GSH, F, RX, RXH, LX, NX, NXH, LC, LCH, LS, LSH have this option.
+  - Even though the LX have TSS-P, it does not have Steering Assist and is not supported.
+- All Hyundai with SmartSense.
+- All Kia with ACC and LKAS.
+
+How can I add support for my car?
+------
+
+If your car has adaptive cruise control and lane keep assist, you are in luck. Using a [panda](https://comma.ai/shop/products/panda-obd-ii-dongle/) and [cabana](https://community.comma.ai/cabana/), you can understand how to make your car drive by wire.
+
+We've written guides for [Brand](https://medium.com/@comma_ai/how-to-write-a-car-port-for-openpilot-7ce0785eda84) and [Model](https://medium.com/@comma_ai/openpilot-port-guide-for-toyota-models-e5467f4b5fe6) ports. These guides might help you after you have the basics figured out.
+
+- BMW, Audi, Volvo, and Mercedes all use [FlexRay](https://en.wikipedia.org/wiki/FlexRay) and are unlikely to be supported any time soon.
+- We put time into a Ford port, but the steering has a 10 second cutout limitation that makes it unusable.
+- The 2016-2017 Honda Accord use a custom signaling protocol for steering that's unlikely to ever be upstreamed.
+
+Directory structure
+------
+    .
+    ├── apk                 # The apk files used for the UI
+    ├── cereal              # The messaging spec used for all logs on EON
+    ├── common              # Library like functionality we've developed here
+    ├── installer/updater   # Manages auto-updates of openpilot
+    ├── opendbc             # Files showing how to interpret data from cars
+    ├── panda               # Code used to communicate on CAN and LIN
+    ├── phonelibs           # Libraries used on EON
+    ├── pyextra             # Libraries used on EON
+    └── selfdrive           # Code needed to drive the car
+        ├── assets          # Fonts and images for UI
+        ├── boardd          # Daemon to talk to the board
+        ├── can             # Helpers for parsing CAN messages
+        ├── car             # Car specific code to read states and control actuators
+        ├── common          # Shared C/C++ code for the daemons
+        ├── controls        # Perception, planning and controls
+        ├── debug           # Tools to help you debug and do car ports
+        ├── locationd       # Soon to be home of precise location
+        ├── logcatd         # Android logcat as a service
+        ├── loggerd         # Logger and uploader of car data
+        ├── proclogd        # Logs information from proc
+        ├── sensord         # IMU / GPS interface code
+        ├── test            # Car simulator running code through virtual maneuvers
+        ├── ui              # The UI
+        └── visiond         # Embedded vision pipeline
+
+To understand how the services interact, see `selfdrive/service_list.yaml`
+
+User Data / chffr Account / Crash Reporting
+------
+
+By default openpilot creates an account and includes a client for chffr, our dashcam app. We use your data to train better models and improve openpilot for everyone.
+
+It's open source software, so you are free to disable it if you wish.
+
+It logs the road facing camera, CAN, GPS, IMU, magnetometer, thermal sensors, crashes, and operating system logs.
+The user facing camera is only logged if you explicitly opt-in in settings.
+It does not log the microphone.
+
+By using it, you agree to [our privacy policy](https://community.comma.ai/privacy.html). You understand that use of this software or its related services will generate certain types of user data, which may be logged and stored at the sole discretion of comma.ai. By accepting this agreement, you grant an irrevocable, perpetual, worldwide right to comma.ai for the use of this data.
+
+Testing on PC
+------
+
+There is rudimentary infrastructure to run a basic simulation and generate a report of openpilot's behavior in different scenarios.
+
+```bash
+# Requires working docker
+./run_docker_tests.sh
+```
+
+The resulting plots are displayed in `selfdrive/test/tests/plant/out/longitudinal/index.html`
+
+More extensive testing infrastructure and simulation environments are coming soon.
+
+Contributing
+------
+
+We welcome both pull requests and issues on
+[github](http://github.com/commaai/openpilot). Bug fixes and new car ports encouraged.
+
+Want to get paid to work on openpilot? [comma.ai is hiring](https://comma.ai/jobs/)

 Licensing
 ------
@@ -84,15 +201,3 @@ Any user of this software shall indemnify and hold harmless Comma.ai, Inc. and i
 **THIS IS ALPHA QUALITY SOFTWARE FOR RESEARCH PURPOSES ONLY. THIS IS NOT A PRODUCT.
 YOU ARE RESPONSIBLE FOR COMPLYING WITH LOCAL LAWS AND REGULATIONS.
 NO WARRANTY EXPRESSED OR IMPLIED.**
-
-User Data and comma Account
------
-
-By default, openpilot uploads the driving data to our servers. You can also access your data through [comma connect](https://connect.comma.ai/). We use your data to train better models and improve openpilot for everyone.
-
-openpilot is open source software: the user is free to disable data collection if they wish to do so.
-
-openpilot logs the road-facing cameras, CAN, GPS, IMU, magnetometer, thermal sensors, crashes, and operating system logs.
-The driver-facing camera is only logged if you explicitly opt-in in settings. The microphone is not recorded.
-
-By using openpilot, you agree to [our Privacy Policy](https://comma.ai/privacy). You understand that use of this software or its related services will generate certain types of user data, which may be logged and stored at the sole discretion of comma. By accepting this agreement, you grant an irrevocable, perpetual, worldwide right to comma for the use of this data.
@@ -0,0 +1,36 @@
+Welcome to chffrplus
+======
+
+[chffrplus](https://github.com/commaai/chffrplus) is an open source dashcam.
+
+This is the shipping reference software for the comma EON Dashcam DevKit. It keeps many of the niceities of [openpilot](https://github.com/commaai/openpilot), like high quality sensors, great camera, and good autostart and stop. Though unlike openpilot, it cannot control your car. chffrplus can interface with your car through a [panda](https://shop.comma.ai/products/panda-obd-ii-dongle), but just like our dashcam app [chffr](https://getchffr.com/), it is read only.
+
+It integrates with the rest of the comma ecosystem, so you can view your drives on the [chffr](https://getchffr.com/) app for Android or iOS, and reverse engineer your car with [cabana](https://community.comma.ai/cabana/?demo=1).
+
+
+Hardware
+------
+
+Right now chffrplus supports the [EON Dashcam DevKit](https://shop.comma.ai/products/eon-dashcam-devkit) for hardware to run on.
+
+Install chffrplus on a EON device by entering ``https://chffrplus.comma.ai`` during NEOS setup.
+
+
+User Data / chffr Account / Crash Reporting
+------
+
+By default chffrplus creates an account and includes a client for chffr, our dashcam app.
+
+It's open source software, so you are free to disable it if you wish. 
+
+It logs the road facing camera, CAN, GPS, IMU, magnetometer, thermal sensors, crashes, and operating system logs.
+It does not log the user facing camera or the microphone.
+
+By using it, you agree to [our privacy policy](https://beta.comma.ai/privacy.html). You understand that use of this software or its related services will generate certain types of user data, which may be logged and stored at the sole discretion of comma.ai. By accepting this agreement, you grant an irrevocable, perpetual, worldwide right to comma.ai for the use of this data.
+
+
+Licensing
+------
+
+chffrplus is released under the MIT license.
+
@@ -1,757 +1,8 @@
-Version 0.9.8 (2024-XX-XX)
-========================
-* Added toggle to enable driver monitoring even when openpilot is not engaged
-
-Version 0.9.7 (2024-06-13)
-========================
-* New driving model
-  * Inputs the past curvature for smoother and more accurate lateral control
-  * Simplified neural network architecture in the model's last layers
-  * Minor fixes to desire augmentation and weight decay
-* New driver monitoring model
-  * Improved end-to-end bit for phone detection
-* Adjust driving personality with the follow distance button
-* Support for hybrid variants of supported Ford models
-* Fingerprinting without the OBD-II port on all cars
-* Improved fuzzy fingerprinting for Ford and Volkswagen
-
-Version 0.9.6 (2024-02-27)
-========================
-* New driving model
-  * Vision model trained on more data
-  * Improved driving performance
-  * Directly outputs curvature for lateral control
-* New driver monitoring model
-  * Trained on larger dataset
-* Model path UI
-  * Shows where driving model wants to be
-  * Shows what model is seeing more clearly, but more jittery
-* AGNOS 9
-* comma body streaming and controls over WebRTC
-* Improved fuzzy fingerprinting for many makes and models
-* Alpha longitudinal support for new Toyota models
-* Chevrolet Equinox 2019-22 support thanks to JasonJShuler and nworb-cire!
-* Dodge Durango 2020-21 support
-* Hyundai Staria 2023 support thanks to sunnyhaibin!
-* Kia Niro Plug-in Hybrid 2022 support thanks to sunnyhaibin!
-* Lexus LC 2024 support thanks to nelsonjchen!
-* Toyota RAV4 2023-24 support
-* Toyota RAV4 Hybrid 2023-24 support
-
-Version 0.9.5 (2023-11-17)
-========================
-* New driving model
-  * Improved navigate on openpilot performance using navigation instructions as an additional model input
-  * Do lateral planning inside the model
-  * New vision transformer architecture
-* Cadillac Escalade ESV 2019 support thanks to twilsonco!
-* Hyundai Azera 2022 support thanks to sunnyhaibin!
-* Hyundai Azera Hybrid 2020 support thanks to chanhojung and haram-KONA!
-* Hyundai Custin 2023 support thanks to sunnyhaibin and Saber422!
-* Hyundai Ioniq 6 2023 support thanks to sunnyhaibin and alamo3!
-* Hyundai Kona Electric 2023 (Korean version) support thanks to sunnyhaibin and haram-KONA!
-* Kia K8 Hybrid (with HDA II) 2023 support thanks to sunnyhaibin!
-* Kia Optima Hybrid 2019 support
-* Kia Sorento Hybrid 2023 support thanks to sunnyhaibin!
-* Lexus GS F 2016 support thanks to snyperifle!
-* Lexus IS 2023 support thanks to L3R5!
-
-Version 0.9.4 (2023-07-27)
-========================
-* comma 3X support
-* Navigate on openpilot in Experimental mode
-  * When navigation has a destination, openpilot will input the map information into the model, which provides useful context to help the model understand the scene
-  * When navigating on openpilot, openpilot will keep left or right appropriately at forks and exits
-  * When navigating on openpilot, lane change behavior is unchanged and still activated by the driver
-  * When navigate on openpilot is active, the path on the map is green
-* UI updates
-  * Navigation settings moved to home screen and map
-  * Border color always shows engagement status. Blue means disengaged, green means engaged, and grey means engaged with human overriding
-  * Alerts are shown inside the border. Black means info, orange means warning, and red means critical alert
-* Bookmarked segments are preserved on the device's storage
-* Ford Focus 2018 support
-* Kia Carnival 2023 support thanks to sunnyhaibin!
-
-Version 0.9.3 (2023-06-29)
-========================
-* New driving model
-  * Improved height estimation and added height tracking in liveCalibration
-  * Model inputs refactor
-* New driving personality setting
-  * Three settings: aggressive, standard, and relaxed
-  * Standard is recommended and the default
-  * In aggressive mode, lead follow distance is shorter and acceleration response is quicker
-  * In relaxed mode, lead follow distance is longer
-* Improved fuzzy fingerprinting for Hyundai, Kia, and Genesis
-* Improved thermal management logic
-
-Version 0.9.2 (2023-05-22)
-========================
-* New driving model
-  * Reduced turn diving
-  * Trained on a new dataset
-* UI updates
-  * New experimental mode visualization
-  * Draw MPC path instead of model-predicted path
-* AGNOS 7
-  * Faster boot time
-  * Fixes rare no sounds bug
-  * Fixes bootsplash bug at extreme temperatures
-* Buick LaCrosse 2017-19 support thanks to koch-cf!
-* Chevrolet Trailblazer 2021-22 support thanks to TurboCE!
-* Ford Bronco Sport 2021-22 support
-* Ford Escape 2020-22 support
-* Ford Explorer 2020-22 support
-* Ford Kuga 2020-22 support
-* Ford Maverick 2022-23 support
-* Genesis GV80 2023 support thanks to JWingate80!
-* Honda HR-V 2023 support thanks to AlexandreSato and galegozi!
-* Kia Niro EV 2023 support thanks to JosselinLecocq!
-* Lexus ES 2017-18 support
-* Lincoln Aviator 2021 support
-* Škoda Fabia 2022-23 support thanks to jyoung8607!
-
-
-Version 0.9.1 (2023-02-28)
-========================
-* New driving model
-  * 30% improved height estimation resulting in better driving performance for tall cars
-* Driver monitoring: removed timer resetting on user interaction if distracted
-* UI updates
-  * Adjust alert volume using ambient noise level
-  * Driver monitoring icon shows driver's head pose
-  * German translation thanks to Vrabetz and CzokNorris!
-* Cadillac Escalade 2017 support thanks to rickygilleland!
-* Chevrolet Bolt EV 2022-23 support thanks to JasonJShuler!
-* Genesis GV60 2023 support thanks to sunnyhaibin!
-* Hyundai Tucson 2022-23 support
-* Kia K5 Hybrid 2020 support thanks to sunnyhaibin!
-* Kia Niro Hybrid 2023 support thanks to sunnyhaibin!
-* Kia Sorento 2022-23 support thanks to sunnyhaibin!
-* Kia Sorento Plug-in Hybrid 2022 support thanks to sunnyhaibin!
-* Toyota C-HR 2021 support thanks to eFiniLan!
-* Toyota C-HR Hybrid 2022 support thanks to Korben00!
-* Volkswagen Crafter and MAN TGE 2017-23 support thanks to jyoung8607!
-
-Version 0.9.0 (2022-11-21)
-========================
-* New driving model
-  * Internal feature space information content increased tenfold during training to ~700 bits, which makes the model dramatically more accurate
-  * Less reliance on previous frames makes model more reactive and snappy
-  * Trained in new reprojective simulator
-  * Trained in 36 hours from scratch, compared to one week for previous releases
-  * Training now simulates both lateral and longitudinal behavior, which allows openpilot to slow down for turns, stop at traffic lights, and more in experimental mode
-* Experimental driving mode
-  * End-to-end longitudinal control
-  * Stops for traffic lights and stop signs
-  * Slows down for turns
-  * openpilot defaults to chill mode, enable experimental mode in settings
-* Driver monitoring updates
-  * New bigger model with added end-to-end distracted trigger
-  * Reduced false positives during driver calibration
-* Self-tuning torque controller: learns parameters live for each car
-* Torque controller used on all Toyota, Lexus, Hyundai, Kia, and Genesis models
-* UI updates
-  * Matched speeds shown on car's dash
-  * Multi-language in navigation
-  * Improved update experience
-  * Border turns grey while overriding steering
-  * Bookmark events while driving; view them in comma connect
-  * New onroad visualization for experimental mode
-* tools: new and improved cabana thanks to deanlee!
-* Experimental longitudinal support for Volkswagen, CAN-FD Hyundai, and new GM models
-* Genesis GV70 2022-23 support thanks to zunichky and sunnyhaibin!
-* Hyundai Santa Cruz 2021-22 support thanks to sunnyhaibin!
-* Kia Sportage 2023 support thanks to sunnyhaibin!
-* Kia Sportage Hybrid 2023 support thanks to sunnyhaibin!
-* Kia Stinger 2022 support thanks to sunnyhaibin!
-
-Version 0.8.16 (2022-08-26)
-========================
-* New driving model
-  * Reduced turn cutting
-* Auto-detect right hand drive setting with driver monitoring model
-* Improved fan controller for comma three
-* New translations
-  * Japanese thanks to cydia2020!
-  * Brazilian Portuguese thanks to AlexandreSato!
-* Chevrolet Bolt EUV 2022-23 support thanks to JasonJShuler!
-* Chevrolet Silverado 1500 2020-21 support thanks to JasonJShuler!
-* GMC Sierra 1500 2020-21 support thanks to JasonJShuler!
-* Hyundai Ioniq 5 2022 support thanks to sunnyhaibin!
-* Hyundai Kona Electric 2022 support thanks to sunnyhaibin!
-* Hyundai Tucson Hybrid 2022 support thanks to sunnyhaibin!
-* Subaru Legacy 2020-22 support thanks to martinl!
-* Subaru Outback 2020-22 support
-
-Version 0.8.15 (2022-07-20)
-========================
-* New driving model
-  * Path planning uses end-to-end output instead of lane lines at all times
-  * Reduced ping pong
-  * Improved lane centering
-* New lateral controller based on physical wheel torque model
-  * Much smoother control that's consistent across the speed range
-  * Effective feedforward that uses road roll
-  * Simplified tuning, all car-specific parameters can be derived from data
-  * Used on select Toyota and Hyundai models at first
-  * Significantly improved control on TSS-P Prius
-* New driver monitoring model
-  * Bigger model, covering full interior view from driver camera
-  * Works with a wider variety of mounting angles
-  * 3x more unique comma three training data than previous
-* Navigation improvements
-  * Speed limits shown while navigating
-  * Faster position fix by using raw GPS measurements
-* UI updates
-  * Multilanguage support for settings and home screen
-  * New font
-  * Refreshed max speed design
-  * More consistent camera view perspective across cars
-* Reduced power usage: device runs cooler and fan spins less
-* AGNOS 5
-  * Support VSCode remote SSH target
-  * Support for delta updates to reduce data usage on future OS updates
-* Chrysler ECU firmware fingerprinting thanks to realfast!
-* Honda Civic 2022 support
-* Hyundai Tucson 2021 support thanks to bluesforte!
-* Kia EV6 2022 support
-* Lexus NX Hybrid 2020 support thanks to AlexandreSato!
-* Ram 1500 2019-21 support thanks to realfast!
-
-Version 0.8.14 (2022-06-01)
-========================
- * New driving model
-   * Bigger model, using both of comma three's road-facing cameras
-   * Better at cut-in detection and tight turns
- * New driver monitoring model
-   * Tweaked network structure to improve output resolution for DSP
-   * Fixed bug in quantization aware training to reduce quantizing errors
-   * Resulted in 7x less MSE and no more random biases at runtime
- * Added toggle to disable disengaging on the accelerator pedal
- * comma body support
- * Audi RS3 support thanks to jyoung8607!
- * Hyundai Ioniq Plug-in Hybrid 2019 support thanks to sunnyhaibin!
- * Hyundai Tucson Diesel 2019 support thanks to sunnyhaibin!
- * Toyota Alphard Hybrid 2021 support
- * Toyota Avalon Hybrid 2022 support
- * Toyota RAV4 2022 support
- * Toyota RAV4 Hybrid 2022 support
-
-Version 0.8.13 (2022-02-18)
-========================
- * Improved driver monitoring
-   * Re-tuned driver pose learner for relaxed driving positions
-   * Added reliance on driving model to be more scene adaptive
-   * Matched strictness between comma two and comma three
- * Improved performance in turns by compensating for the road bank angle
- * Improved camera focus on the comma two
- * AGNOS 4
-   * ADB support
-   * improved cell auto configuration
- * NEOS 19
-   * package updates
-   * stability improvements
- * Subaru ECU firmware fingerprinting thanks to martinl!
- * Hyundai Santa Fe Plug-in Hybrid 2022 support thanks to sunnyhaibin!
- * Mazda CX-5 2022 support thanks to Jafaral!
- * Subaru Impreza 2020 support thanks to martinl!
- * Toyota Avalon 2022 support thanks to sshane!
- * Toyota Prius v 2017 support thanks to CT921!
- * Volkswagen Caravelle 2020 support thanks to jyoung8607!
-
-Version 0.8.12 (2021-12-15)
-========================
- * New driving model
-   * Improved behavior around exits
-   * Better pose accuracy at high speeds, allowing max speed of 90mph
-   * Fully incorporated comma three data into all parts of training stack
- * Improved follow distance
- * Better longitudinal policy, especially in low speed traffic
- * New alert sounds
- * AGNOS 3
-   * Display burn in mitigation
-   * Improved audio amplifier configuration
-   * System reliability improvements
-   * Update Python to 3.8.10
- * Raw logs upload moved to connect.comma.ai
- * Fixed HUD alerts on newer Honda Bosch thanks to csouers!
- * Audi Q3 2020-21 support thanks to jyoung8607!
- * Lexus RC 2020 support thanks to ErichMoraga!
-
-Version 0.8.11 (2021-11-29)
-========================
- * Support for CAN FD on the red panda
- * Support for an external panda on the comma three
- * Navigation: Show more detailed instructions when approaching maneuver
- * Fixed occasional steering faults on GM cars thanks to jyoung8607!
- * Nissan ECU firmware fingerprinting thanks to robin-reckmann, martinl, and razem-io!
- * Cadillac Escalade ESV 2016 support thanks to Gibby!
- * Genesis G70 2020 support thanks to tecandrew!
- * Hyundai Santa Fe Hybrid 2022 support thanks to sunnyhaibin!
- * Mazda CX-9 2021 support thanks to Jacar!
- * Volkswagen Polo 2020 support thanks to jyoung8607!
- * Volkswagen T-Roc 2021 support thanks to jyoung8607!
-
-Version 0.8.10 (2021-11-01)
-========================
- * New driving model
-   * Trained on one million minutes!!!
-   * Fixed lead training making lead predictions significantly more accurate
-   * Fixed several localizer dataset bugs and loss function bugs, overall improved accuracy
- * New driver monitoring model
-   * Trained on latest data from both comma two and comma three
-   * Increased model field of view by 40% on comma three
-   * Improved model stability on masked users
-   * Improved pose prediction with reworked ground-truth stack
- * Lateral and longitudinal planning MPCs now in ACADOS
- * Combined longitudinal MPCs
-   * All longitudinal planning now happens in a single MPC system
-   * Fixed instability in MPC problem to prevent sporadic CPU usage
- * AGNOS 2: minor stability improvements and builder repo open sourced
- * tools: new and improved replay thanks to deanlee!
- * Moved community-supported cars outside of the Community Features toggle
- * Improved FW fingerprinting reliability for Hyundai/Kia/Genesis
- * Added prerequisites for longitudinal control on Hyundai/Kia/Genesis and Honda Bosch
- * Audi S3 2015 support thanks to jyoung8607!
- * Honda Freed 2020 support thanks to belm0!
- * Hyundai Ioniq Hybrid 2020-2022 support thanks to sunnyhaibin!
- * Hyundai Santa Fe 2022 support thanks to sunnyhaibin!
- * Kia K5 2021 support thanks to sunnyhaibin!
- * Škoda Kamiq 2021 support thanks to jyoung8607!
- * Škoda Karoq 2019 support thanks to jyoung8607!
- * Volkswagen Arteon 2021 support thanks to jyoung8607!
- * Volkswagen California 2021 support thanks to jyoung8607!
- * Volkswagen Taos 2022 support thanks to jyoung8607!
-
-Version 0.8.9 (2021-09-14)
-========================
- * Improved fan control on comma three
- * AGNOS 1.5: improved stability
- * Honda e 2020 support
-
-Version 0.8.8 (2021-08-27)
-========================
- * New driving model with improved laneless performance
-   * Trained on 5000+ hours of diverse driving data from 3000+ users in 40+ countries
-   * Better anti-cheating methods during simulator training ensure the model hugs less when in laneless mode
-   * All new desire ground-truthing stack makes the model better at lane changes
- * New driver monitoring model: improved performance on comma three
- * NEOS 18 for comma two: update packages
- * AGNOS 1.3 for comma three: fix display init at high temperatures
- * Improved auto-exposure on comma three
- * Improved longitudinal control on Honda Nidec cars
- * Hyundai Kona Hybrid 2020 support thanks to haram-KONA!
- * Hyundai Sonata Hybrid 2021 support thanks to Matt-Wash-Burn!
- * Kia Niro Hybrid 2021 support thanks to tetious!
-
-Version 0.8.7 (2021-07-31)
-========================
- * comma three support!
- * Navigation alpha for the comma three!
- * Volkswagen T-Cross 2021 support thanks to jyoung8607!
-
-Version 0.8.6 (2021-07-21)
-========================
- * Revamp lateral and longitudinal planners
-   * Refactor planner output API to be more readable and verbose
-   * Planners now output desired trajectories for speed, acceleration, curvature, and curvature rate
-   * Use MPC for longitudinal planning when no lead car is present, makes accel and decel smoother
- * Remove "CHECK DRIVER FACE VISIBILITY" warning
- * Fixed cruise fault on some TSS2.5 Camrys and international Toyotas
- * Hyundai Elantra Hybrid 2021 support thanks to tecandrew!
- * Hyundai Ioniq PHEV 2020 support thanks to YawWashout!
- * Kia Niro Hybrid 2019 support thanks to jyoung8607!
- * Škoda Octavia RS 2016 support thanks to jyoung8607!
- * Toyota Alphard 2020 support thanks to belm0!
- * Volkswagen Golf SportWagen 2015 support thanks to jona96!
- * Volkswagen Touran 2017 support thanks to jyoung8607!
-
-Version 0.8.5 (2021-06-11)
-========================
- * NEOS update: improved reliability and stability with better voltage regulator configuration
- * Smart model-based Forward Collision Warning
- * CAN-based fingerprinting moved behind community features toggle
- * Improved longitudinal control on Toyotas with a comma pedal
- * Improved auto-brightness using road-facing camera
- * Added "Software" settings page with updater controls
- * Audi Q2 2018 support thanks to jyoung8607!
- * Hyundai Elantra 2021 support thanks to CruiseBrantley!
- * Lexus UX Hybrid 2019-2020 support thanks to brianhaugen2!
- * Toyota Avalon Hybrid 2019 support thanks to jbates9011!
- * SEAT Leon 2017 & 2020 support thanks to jyoung8607!
- * Škoda Octavia 2015 & 2019 support thanks to jyoung8607!
-
-Version 0.8.4 (2021-05-17)
-========================
- * Delay controls start until system is ready
- * Fuzzy car identification, enabled with Community Features toggle
- * Localizer optimized for increased precision and less CPU usage
- * Re-tuned lateral control to be more aggressive when model is confident
- * Toyota Mirai 2021 support
- * Lexus NX 300 2020 support thanks to goesreallyfast!
- * Volkswagen Atlas 2018-19 support thanks to jyoung8607!
-
-Version 0.8.3 (2021-04-01)
-========================
- * New model
-   * Trained on new diverse dataset from 2000+ users from 30+ countries
-   * Trained with improved segnet from the comma-pencil community project
-   * 🥬 Dramatically improved end-to-end lateral performance 🥬
- * Toggle added to disable the use of lanelines
- * NEOS update: update packages and support for new UI
- * New offroad UI based on Qt
- * Default SSH key only used for setup
- * Kia Ceed 2019 support thanks to ZanZaD13!
- * Kia Seltos 2021 support thanks to speedking456!
- * Added support for many Volkswagen and Škoda models thanks to jyoung8607!
-
-Version 0.8.2 (2021-02-26)
-========================
- * Use model points directly in MPC (no more polyfits), making lateral planning more accurate
- * Use model heading prediction for smoother lateral control
- * Smarter actuator delay compensation
- * Improve qcamera resolution for improved video in explorer and connect
- * Adjust maximum engagement speed to better fit the model's training distribution
- * New driver monitoring model trained with 3x more diverse data
- * Improved face detection with masks
- * More predictable DM alerts when visibility is bad
- * Rewritten video streaming between openpilot processes
- * Improved longitudinal tuning on TSS2 Corolla and Rav4 thanks to briskspirit!
- * Audi A3 2015 and 2017 support thanks to keeleysam!
- * Nissan Altima 2020 support thanks to avolmensky!
- * Lexus ES Hybrid 2018 support thanks to TheInventorMan!
- * Toyota Camry Hybrid 2021 support thanks to alancyau!
-
-Version 0.8.1 (2020-12-21)
-========================
- * Original EON is deprecated, upgrade to comma two
- * Better model performance in heavy rain
- * Better lane positioning in turns
- * Fixed bug where model would cut turns on empty roads at night
- * Fixed issue where some Toyotas would not completely stop thanks to briskspirit!
- * Toyota Camry 2021 with TSS2.5 support
- * Hyundai Ioniq Electric 2020 support thanks to baldwalker!
-
-Version 0.8.0 (2020-11-30)
-========================
- * New driving model: fully 3D and improved cut-in detection
- * UI draws 2 road edges, 4 lanelines and paths in 3D
- * Major fixes to cut-in detection for openpilot longitudinal
- * Grey panda is no longer supported, upgrade to comma two or black panda
- * Lexus NX 2018 support thanks to matt12eagles!
- * Kia Niro EV 2020 support thanks to nickn17!
- * Toyota Prius 2021 support thanks to rav4kumar!
- * Improved lane positioning with uncertain lanelines, wide lanes and exits
- * Improved lateral control for Prius and Subaru
-
-Version 0.7.10 (2020-10-29)
-========================
- * Grey panda is deprecated, upgrade to comma two or black panda
- * NEOS update: update to Python 3.8.2 and lower CPU frequency
- * Improved thermals due to reduced CPU frequency
- * Update SNPE to 1.41.0
- * Reduced offroad power consumption
- * Various system stability improvements
- * Acura RDX 2020 support thanks to csouers!
-
-Version 0.7.9 (2020-10-09)
-========================
- * Improved car battery power management
- * Improved updater robustness
- * Improved realtime performance
- * Reduced UI and modeld lags
- * Increased torque on 2020 Hyundai Sonata and Palisade
-
-Version 0.7.8 (2020-08-19)
-========================
- * New driver monitoring model: improved face detection and better compatibility with sunglasses
- * Download NEOS operating system updates in the background
- * Improved updater reliability and responsiveness
- * Hyundai Kona 2020, Veloster 2019, and Genesis G70 2018 support thanks to xps-genesis!
-
-Version 0.7.7 (2020-07-20)
-========================
- * White panda is no longer supported, upgrade to comma two or black panda
- * Improved vehicle model estimation using high precision localizer
- * Improved thermal management on comma two
- * Improved autofocus for road-facing camera
- * Improved noise performance for driver-facing camera
- * Block lane change start using blindspot monitor on select Toyota, Hyundai, and Subaru
- * Fix GM ignition detection
- * Code cleanup and smaller release sizes
- * Hyundai Sonata 2020 promoted to officially supported car
- * Hyundai Ioniq Electric Limited 2019 and Ioniq SE 2020 support thanks to baldwalker!
- * Subaru Forester 2019 and Ascent 2019 support thanks to martinl!
-
-Version 0.7.6.1 (2020-06-16)
-========================
- * Hotfix: update kernel on some comma twos (orders #8570-#8680)
-
-Version 0.7.6 (2020-06-05)
-========================
- * White panda is deprecated, upgrade to comma two or black panda
- * 2017 Nissan X-Trail, 2018-19 Leaf and 2019 Rogue support thanks to avolmensky!
- * 2017 Mazda CX-5 support in dashcam mode thanks to Jafaral!
- * Huge CPU savings in modeld by using thneed!
- * Lots of code cleanup and refactors
-
-Version 0.7.5 (2020-05-13)
-========================
- * Right-Hand Drive support for both driving and driver monitoring!
- * New driving model: improved at sharp turns and lead speed estimation
- * New driver monitoring model: overall improvement on comma two
- * Driver camera preview in settings to improve mounting position
- * Added support for many Hyundai, Kia, Genesis models thanks to xx979xx!
- * Improved lateral tuning for 2020 Toyota Rav 4 (hybrid)
-
-Version 0.7.4 (2020-03-20)
-========================
- * New driving model: improved lane changes and lead car detection
- * Improved driver monitoring model: improve eye detection
- * Improved calibration stability
- * Improved lateral control on some 2019 and 2020 Toyota Prius
- * Improved lateral control on VW Golf: 20% more steering torque
- * Fixed bug where some 2017 and 2018 Toyota C-HR would use the wrong steering angle sensor
- * Support for Honda Insight thanks to theantihero!
- * Code cleanup in car abstraction layers and ui
-
-Version 0.7.3 (2020-02-21)
-========================
- * Support for 2020 Highlander thanks to che220!
- * Support for 2018 Lexus NX 300h thanks to kengggg!
- * Speed up ECU firmware query
- * Fix bug where manager would sometimes hang after shutting down the car
-
-Version 0.7.2 (2020-02-07)
-========================
- * ECU firmware version based fingerprinting for Honda & Toyota
- * New driving model: improved path prediction during turns and lane changes and better lead speed tracking
- * Improve driver monitoring under extreme lighting and add low accuracy alert
- * Support for 2019 Rav4 Hybrid thanks to illumiN8i!
- * Support for 2016, 2017 and 2020 Lexus RX thanks to illumiN8i!
- * Support for 2020 Chrysler Pacifica Hybrid thanks to adhintz!
-
-Version 0.7.1 (2020-01-20)
-========================
- * comma two support!
- * Lane Change Assist above 45 mph!
- * Replace zmq with custom messaging library, msgq!
- * Supercombo model: calibration and driving models are combined for better lead estimate
- * More robust updater thanks to jyoung8607! Requires NEOS update
- * Improve low speed ACC tuning
-
-Version 0.7 (2019-12-13)
-========================
- * Move to SCons build system!
- * Add Lane Departure Warning (LDW) for all supported vehicles!
- * NEOS update: increase wifi speed thanks to jyoung8607!
- * Adaptive driver monitoring based on scene
- * New driving model trained end-to-end: improve lane lines and lead detection
- * Smarter torque limit alerts for all cars
- * Improve GM longitudinal control: proper computations for 15Hz radar
- * Move GM port, Toyota with DSU removed, comma pedal in community features; toggle switch required
- * Remove upload over cellular toggle: only upload qlog and qcamera files if not on wifi
- * Refactor Panda code towards ISO26262 and SIL2 compliance
- * Forward stock FCW for Honda Nidec
- * Volkswagen port now standard: comma Harness intercepts stock camera
-
-Version 0.6.6 (2019-11-05)
-========================
- * Volkswagen support thanks to jyoung8607!
- * Toyota Corolla Hybrid with TSS 2.0 support thanks to u8511049!
- * Lexus ES with TSS 2.0 support thanks to energee!
- * Fix GM ignition detection and lock safety mode not required anymore
- * Log panda firmware and dongle ID thanks to martinl!
- * New driving model: improve path prediction and lead detection
- * New driver monitoring model, 4x smaller and running on DSP
- * Display an alert and don't start openpilot if panda has wrong firmware
- * Fix bug preventing EON from terminating processes after a drive
- * Remove support for Toyota giraffe without the 120Ohm resistor
-
-Version 0.6.5 (2019-10-07)
-========================
- * NEOS update: upgrade to Python3 and new installer!
- * comma Harness support!
- * New driving model: improve path prediction
- * New driver monitoring model: more accurate face and eye detection
- * Redesign offroad screen to display updates and alerts
- * Increase maximum allowed acceleration
- * Prevent car 12V battery drain by cutting off EON charge after 3 days of no drive
- * Lexus CT Hybrid support thanks to thomaspich!
- * Louder chime for critical alerts
- * Add toggle to switch to dashcam mode
- * Fix "invalid vehicle params" error on DSU-less Toyota
-
-Version 0.6.4 (2019-09-08)
-========================
- * Forward stock AEB for Honda Nidec
- * Improve lane centering on banked roads
- * Always-on forward collision warning
- * Always-on driver monitoring, except for right hand drive countries
- * Driver monitoring learns the user's normal driving position
- * Honda Fit support thanks to energee!
- * Lexus IS support
-
-Version 0.6.3 (2019-08-12)
-========================
- * Alert sounds from EON: requires NEOS update
- * Improve driver monitoring: eye tracking and improved awareness logic
- * Improve path prediction with new driving model
- * Improve lane positioning with wide lanes and exits
- * Improve lateral control on RAV4
- * Slow down for turns using model
- * Open sourced regression test to verify outputs against reference logs
- * Open sourced regression test to sanity check all car models
-
-Version 0.6.2 (2019-07-29)
-========================
- * New driving model!
- * Improve lane tracking with double lines
- * Strongly improve stationary vehicle detection
- * Strongly reduce cases of braking due to false leads
- * Better lead tracking around turns
- * Improve cut-in prediction by using neural network
- * Improve lateral control on Toyota Camry and C-HR thanks to zorrobyte!
- * Fix unintended openpilot disengagements on Jeep thanks to adhintz!
- * Fix delayed transition to offroad when car is turned off
-
-Version 0.6.1 (2019-07-21)
-========================
- * Remote SSH with comma prime and [ssh.comma.ai](https://ssh.comma.ai)
- * Panda code Misra-c2012 compliance, tested against cppcheck coverage
- * Lockout openpilot after 3 terminal alerts for driver distracted or unresponsive
- * Toyota Sienna support thanks to wocsor!
-
-Version 0.6 (2019-07-01)
-========================
- * New model, with double the pixels and ten times the temporal context!
- * Car should not take exits when in the right lane
- * openpilot uses only ~65% of the CPU (down from 75%)
- * Routes visible in connect/explorer after only 0.2% is uploaded (qlogs)
- * loggerd and sensord are open source, every line of openpilot is now open
- * Panda safety code is MISRA compliant and ships with a signed version on release2
- * New NEOS is 500MB smaller and has a reproducible usr/pipenv
- * Lexus ES Hybrid support thanks to wocsor!
- * Improve tuning for supported Toyota with TSS 2.0
- * Various other stability improvements
-
-Version 0.5.13 (2019-05-31)
-==========================
- * Reduce panda power consumption by 70%, down to 80mW, when car is off (not for GM)
- * Reduce EON power consumption by 40%, down to 1100mW, when car is off
- * Reduce CPU utilization by 20% and improve stability
- * Temporarily remove mapd functionalities to improve stability
- * Add openpilot record-only mode for unsupported cars
- * Synchronize controlsd to pandad to reduce latency
- * Remove panda support for Subaru giraffe
-
-Version 0.5.12 (2019-05-16)
-==========================
- * Improve lateral control for the Prius and Prius Prime
- * Compress logs before writing to disk
- * Remove old driving data when storage reaches 90% full
- * Fix small offset in following distance
- * Various small CPU optimizations
- * Improve offroad power consumption: require NEOS Update
- * Add default speed limits for Estonia thanks to martinl!
- * Subaru Crosstrek support thanks to martinl!
- * Toyota Avalon support thanks to njbrown09!
- * Toyota Rav4 with TSS 2.0 support thanks to wocsor!
- * Toyota Corolla with TSS 2.0 support thanks to wocsor!
-
-Version 0.5.11 (2019-04-17)
-========================
- * Add support for Subaru
- * Reduce panda power consumption by 60% when car is off
- * Fix controlsd lag every 6 minutes. This would sometimes cause disengagements
- * Fix bug in controls with new angle-offset learner in MPC
- * Reduce cpu consumption of ubloxd by rewriting it in C++
- * Improve driver monitoring model and face detection
- * Improve performance of visiond and ui
- * Honda Passport 2019 support
- * Lexus RX Hybrid 2019 support thanks to schomems!
- * Improve road selection heuristic in mapd
- * Add Lane Departure Warning to dashboard for Toyota thanks to arne182
-
-Version 0.5.10 (2019-03-19)
-========================
- * Self-tuning vehicle parameters: steering offset, tire stiffness and steering ratio
- * Improve longitudinal control at low speed when lead vehicle harshly decelerates
- * Fix panda bug going unexpectedly in DCP mode when EON is connected
- * Reduce white panda power consumption by 500mW when EON is disconnected by turning off WIFI
- * New Driver Monitoring Model
- * Support QR codes for login using comma connect
- * Refactor comma pedal FW and use CRC-8 checksum algorithm for safety. Reflashing pedal is required.
-   Please see `#hw-pedal` on [discord](discord.comma.ai) for assistance updating comma pedal.
- * Additional speed limit rules for Germany thanks to arne182
- * Allow negative speed limit offsets
-
-Version 0.5.9 (2019-02-10)
-========================
- * Improve calibration using a dedicated neural network
- * Abstract planner in its own process to remove lags in controls process
- * Improve speed limits with country/region defaults by road type
- * Reduce mapd data usage with gzip thanks to eFiniLan
- * Zip log files in the background to reduce disk usage
- * Kia Optima support thanks to emmertex!
- * Buick Regal 2018 support thanks to HOYS!
- * Comma pedal support for Toyota thanks to wocsor! Note: tuning needed and not maintained by comma
- * Chrysler Pacifica and Jeep Grand Cherokee support thanks to adhintz!
-
-Version 0.5.8 (2019-01-17)
-========================
- * Open sourced visiond
- * Auto-slowdown for upcoming turns
- * Chrysler/Jeep/Fiat support thanks to adhintz!
- * Honda Civic 2019 support thanks to csouers!
- * Improve use of car display in Toyota thanks to arne182!
- * No data upload when connected to Android or iOS hotspots and "Enable Upload Over Cellular" setting is off
- * EON stops charging when 12V battery drops below 11.8V
-
-Version 0.5.7 (2018-12-06)
-========================
- * Speed limit from OpenStreetMap added to UI
- * Highlight speed limit when speed exceeds road speed limit plus a delta
- * Option to limit openpilot max speed to road speed limit plus a delta
- * Cadillac ATS support thanks to vntarasov!
- * GMC Acadia support thanks to CryptoKylan!
- * Decrease GPU power consumption
- * NEOSv8 autoupdate
-
-Version 0.5.6 (2018-11-16)
-========================
- * Refresh settings layout and add feature descriptions
- * In Honda, keep stock camera on for logging and extra stock features; new openpilot giraffe setting is 0111!
- * In Toyota, option to keep stock camera on for logging and extra stock features (e.g. AHB); 120Ohm resistor required on giraffe.
- * Improve camera calibration stability
- * More tuning to Honda positive accelerations
- * Reduce brake pump use on Hondas
- * Chevrolet Malibu support thanks to tylergets!
- * Holden Astra support thanks to AlexHill!
-
-Version 0.5.5 (2018-10-20)
-========================
- * Increase allowed Honda positive accelerations
- * Fix sporadic unexpected braking when passing semi-trucks in Toyota
- * Fix gear reading bug in Hyundai Elantra thanks to emmertex!
-
-Version 0.5.4 (2018-09-25)
-========================
- * New Driving Model
- * New Driver Monitoring Model
- * Improve longitudinal mpc in mid-low speed braking
- * Honda Accord hybrid support thanks to energee!
- * Ship mpc binaries and sensibly reduce build time
- * Calibration more stable
- * More Hyundai and Kia cars supported thanks to emmertex!
- * Various GM Volt improvements thanks to vntarasov!
-
 Version 0.5.3 (2018-09-03)
 ========================
 * Hyundai Santa Fe support!
 * Honda Pilot 2019 support thanks to energee!
- * Toyota Highlander support thanks to daehahn!
+ * Toyota Hyghlander support thanks to daehahn!
 * Improve steering tuning for Honda Odyssey

 Version 0.5.2 (2018-08-16)
@@ -939,96 +190,96 @@ Version 0.3.4 (2017-07-28)

 Version 0.3.3  (2017-06-28)
 ===========================
- * Improved model trained on more data
- * Alpha CR-V support thanks to energee and johnnwvs!
- * Using the opendbc project for DBC files
- * Minor performance improvements
- * UI update thanks to pjlao307
- * Power off button
- * 6% more torque on the Civic
+  * Improved model trained on more data
+  * Alpha CR-V support thanks to energee and johnnwvs!
+  * Using the opendbc project for DBC files
+  * Minor performance improvements
+  * UI update thanks to pjlao307
+  * Power off button
+  * 6% more torque on the Civic

 Version 0.3.2  (2017-05-22)
 ===========================
- * Minor stability bugfixes
- * Added metrics and rear view mirror disable to settings
- * Update model with more crowdsourced data
+  * Minor stability bugfixes
+  * Added metrics and rear view mirror disable to settings
+  * Update model with more crowdsourced data

 Version 0.3.1  (2017-05-17)
 ===========================
- * visiond stability bugfix
- * Add logging for angle and flashing
+  * visiond stability bugfix
+  * Add logging for angle and flashing

 Version 0.3.0  (2017-05-12)
 ===========================
- * Add CarParams struct to improve the abstraction layer
- * Refactor visiond IPC to support multiple clients
- * Add raw GPS and beginning support for navigation
- * Improve model in visiond using crowdsourced data
- * Add improved system logging to diagnose instability
- * Rewrite baseui in React Native
- * Moved calibration to the cloud
+  * Add CarParams struct to improve the abstraction layer
+  * Refactor visiond IPC to support multiple clients
+  * Add raw GPS and beginning support for navigation
+  * Improve model in visiond using crowdsourced data
+  * Add improved system logging to diagnose instability
+  * Rewrite baseui in React Native
+  * Moved calibration to the cloud

 Version 0.2.9  (2017-03-01)
 ===========================
- * Retain compatibility with NEOS v1
+  * Retain compatibility with NEOS v1

 Version 0.2.8  (2017-02-27)
 ===========================
- * Fix bug where frames were being dropped in minute 71
+  * Fix bug where frames were being dropped in minute 71

 Version 0.2.7  (2017-02-08)
 ===========================
- * Better performance and pictures at night
- * Fix ptr alignment issue in pandad
- * Fix brake error light, fix crash if too cold
+  * Better performance and pictures at night
+  * Fix ptr alignment issue in boardd
+  * Fix brake error light, fix crash if too cold

 Version 0.2.6  (2017-01-31)
 ===========================
- * Fix bug in visiond model execution
+  * Fix bug in visiond model execution

 Version 0.2.5  (2017-01-30)
 ===========================
- * Fix race condition in manager
+  * Fix race condition in manager

 Version 0.2.4  (2017-01-27)
 ===========================
- * OnePlus 3T support
- * Enable installation as NEOS app
- * Various minor bugfixes
+  * OnePlus 3T support
+  * Enable installation as NEOS app
+  * Various minor bugfixes

 Version 0.2.3  (2017-01-11)
 ===========================
- * Reduce space usage by 80%
- * Add better logging
- * Add Travis CI
+  * Reduce space usage by 80%
+  * Add better logging
+  * Add Travis CI

 Version 0.2.2  (2017-01-10)
 ===========================
- * Board triggers started signal on CAN messages
- * Improved autoexposure
- * Handle out of space, improve upload status
+  * Board triggers started signal on CAN messages
+  * Improved autoexposure
+  * Handle out of space, improve upload status

 Version 0.2.1  (2016-12-14)
 ===========================
- * Performance improvements, removal of more numpy
- * Fix pandad process priority
- * Make counter timer reset on use of steering wheel
+  * Performance improvements, removal of more numpy
+  * Fix boardd process priority
+  * Make counter timer reset on use of steering wheel

 Version 0.2  (2016-12-12)
 =========================
- * Car/Radar abstraction layers have shipped, see cereal/car.capnp
- * controlsd has been refactored
- * Shipped plant model and testing maneuvers
- * visiond exits more gracefully now
- * Hardware encoder in visiond should always init
- * ui now turns off the screen after 30 seconds
- * Switch to openpilot release branch for future releases
- * Added preliminary Docker container to run tests on PC
+  * Car/Radar abstraction layers have shipped, see cereal/car.capnp
+  * controlsd has been refactored
+  * Shipped plant model and testing maneuvers
+  * visiond exits more gracefully now
+  * Hardware encoder in visiond should always init
+  * ui now turns off the screen after 30 seconds
+  * Switch to openpilot release branch for future releases
+  * Added preliminary Docker container to run tests on PC

 Version 0.1  (2016-11-29)
 =========================
- * Initial release of openpilot
- * Adaptive cruise control is working
- * Lane keep assist is working
- * Support for Acura ILX 2016 with AcuraWatch Plus
- * Support for Honda Civic 2016 Touring Edition
+  * Initial release of openpilot
+  * Adaptive cruise control is working
+  * Lane keep assist is working
+  * Support for Acura ILX 2016 with AcuraWatch Plus
+  * Support for Honda Civic 2016 Touring Edition
@@ -0,0 +1,109 @@
+openpilot Safety
+======
+
+openpilot is an Adaptive Cruise Control (ACC) and Lane Keeping Assist (LKA) system. 
+Like other ACC and LKA systems, openpilot requires the driver to be alert and to 
+pay attention at all times. We repeat, **driver alertness is necessary, but not 
+sufficient, for openpilot to be used safely**.
+
+In order to enforce driver alertness, openpilot includes a driver monitoring feature
+that alerts the driver when distracted.
+
+However, even with an attentive driver, we must make further efforts for the system to be
+safe. We have designed openpilot with two other safety considerations.
+
+1. The driver must always be capable to immediately retake manual control of the vehicle, 
+   by stepping on either pedal or by pressing the cancel button.
+2. The vehicle must not alter its trajectory too quickly for the driver to safely
+   react. This means that while the system is engaged, the actuators are constrained
+   to operate within reasonable limits.
+
+Following are details of the car specific safety implementations:
+
+Honda/Acura
+------
+
+  - While the system is engaged, gas, brake and steer commands are subject to the same limits used by
+    the stock system.
+
+  - Without an interceptor, the gas is controlled by the Powertrain Control Module (PCM). 
+    The PCM limits acceleration to what is reasonable for a cruise control system.  With an
+    interceptor, the gas is clipped to 60%.
+
+  - The brake is controlled by the 0x1FA CAN message. This message allows full
+    braking, although the panda firmware and openpilot clip it to 1/4th of the max.
+    This is approximately 0.3g of braking.
+
+  - Steering is controlled by the 0xE4 CAN message. The Electronic Power Steering (EPS) 
+    controller in the car limits the torque to a very small amount, so regardless of the 
+    message, the controller cannot jerk the wheel.
+
+  - Brake and gas pedal pressed signals are contained in the 0x17C CAN message. A rising edge of
+    either signals triggers a disengagement, which is enforced by the panda firmware and by openpilot. The
+    white led on the panda signifies if the panda is allowing control messages.
+
+  - Honda CAN uses both a counter and a checksum to ensure integrity and prevent
+    replay of the same message.
+
+Toyota/Lexus
+------
+
+  - While the system is engaged, gas, brake and steer commands are subject to the same limits used by
+    the stock system.
+
+  - With the stock Driving Support Unit (DSU) connected (or in DSU-less models like Camry and C-HR),
+    the acceleration is controlled by the stock system and is subject to the stock adaptive cruise
+    control limits. Without the stock DSU connected, the acceleration command is controlled by the
+    0x343 CAN message and its value is limited between .3g of deceleration and .15g of acceleration
+    by the panda firmware and by openpilot. The acceleration command is ignored by the Engine Control
+    Module (ECM) while the cruise control system is disengaged.
+
+  - Steering torque is controlled through the 0x2E4 CAN message and it's limited by the panda firmware and by
+    openpilot to a value between -1500 and 1500. In addition, the vehicle EPS unit will not respond to
+    commands outside these limits.  A steering torque rate limit is enforced by the panda firmware and by
+    openpilot, so that the commanded steering torque must rise from 0 to max value no faster than
+    1.5s. Commanded steering torque is limited by the panda firmware and by openpilot to be no more than 350
+    units above the actual EPS generated motor torque to ensure limited differences between
+    commanded and actual torques.
+
+  - Brake and gas pedal pressed signals are contained in the 0x224 and 0x1D2 CAN messages,
+    respectively. A rising edge of either signals triggers a disengagement, which is enforced by the
+    panda firmware and by openpilot. Additionally, the cruise control system disengages on the rising edge of
+    the brake pedal pressed signal.
+
+  - The cruise control system state is contained in the 0x1D2 message. No control messages are
+    allowed if the cruise control system is not active. This is enforced by openpilot and the
+    panda firmware. The white led on the panda signifies if the panda is allowing control messages.
+
+GM/Chevrolet
+------
+
+  - While the system is engaged, gas, brake and steer commands are subject to the same limits used by
+    the stock system.
+
+  - The gas and regen are controlled by the 0x2CB message and it's limited by the panda firmware and by
+    openpilot to a value between 1404 and 3072. the minimum value correspond to a mild decel due to regen,
+    while 3072 correspond to approximately 0.18g of acceleration from stop.
+
+  - The friction brakes are controlled by the 0x315 message and its value is limited by the panda firmware
+    and openpilot to 350. This is approximately 0.3g of braking.
+
+  - Steering torque is controlled through the 0x180 CAN message and it's limited by the panda firmware and by
+    openpilot to a value between -255 and 255. In addition, the vehicle EPS unit will not fault when
+    commands outside these limits.  A steering torque rate limit is enforced by the panda firmware and by
+    openpilot, so that the commanded steering torque must rise from 0 to max value no faster than
+    0.75s. Commanded steering torque is gradually limited by the panda firmware and by openpilot if the driver's
+    torque exceeds 12 units in the opposite dicrection to ensure limited applied torque against the
+    driver's will.
+
+  - Brake pedal and gas pedal potentiometer signals are contained in the 0xF1 and 0x1A1 CAN messages,
+    respectively. A rising edge of either signals triggers a disengagement, which is enforced by the
+    panda firmware and by openpilot. Additionally, the cruise control system disengages on the rising edge of
+    the brake pedal pressed signal. The regen paddle pressed signal is in the 0xBD message. When the
+    regen paddle is pressed, a disengagement is enforced by both the firmware and by openpilot.
+
+  - GM CAN uses both a counter and a checksum to ensure integrity and prevent
+    replay of the same message.
+
+**Extra note"**: comma.ai strongly discourages the use of openpilot forks with safety code either missing or
+  not fully meeting the above requirements.
@@ -1,5 +0,0 @@
-# Security Policy
-
-## Reporting a Vulnerability
-
-Suspected vulnerabilities can be reported to both `adeeb@comma.ai` and `security@comma.ai`.
@@ -0,0 +1,3 @@
+gen
+node_modules
+package-lock.json
@@ -0,0 +1,59 @@
+PWD := $(shell pwd)
+
+SRCS := log.capnp car.capnp
+
+GENS := gen/cpp/car.capnp.c++ gen/cpp/log.capnp.c++
+JS := gen/js/car.capnp.js gen/js/log.capnp.js
+
+UNAME_M ?= $(shell uname -m)
+
+# only generate C++ for docker tests
+ifneq ($(OPTEST),1)
+	GENS += gen/c/car.capnp.c gen/c/log.capnp.c gen/c/include/c++.capnp.h gen/c/include/java.capnp.h
+
+	ifeq ($(UNAME_M),x86_64)
+		GENS += gen/java/Car.java gen/java/Log.java
+	endif
+
+endif
+
+ifeq ($(UNAME_M),aarch64)
+	CAPNPC=PATH=$(PWD)/../phonelibs/capnp-cpp/aarch64/bin/:$$PATH capnpc
+else
+	CAPNPC=capnpc
+endif
+
+.PHONY: all
+all: $(GENS)
+js: $(JS)
+
+.PHONY: clean
+clean:
+	rm -rf gen
+	rm -rf node_modules
+	rm -rf package-lock.json
+
+gen/c/%.capnp.c: %.capnp
+	@echo "[ CAPNPC C ] $@"
+	mkdir -p gen/c/
+	$(CAPNPC) '$<' -o c:gen/c/
+
+gen/js/%.capnp.js: %.capnp
+	@echo "[ CAPNPC JavaScript ] $@"
+	mkdir -p gen/js/
+	sh ./generate_javascript.sh
+
+gen/cpp/%.capnp.c++: %.capnp
+	@echo "[ CAPNPC C++ ] $@"
+	mkdir -p gen/cpp/
+	$(CAPNPC) '$<' -o c++:gen/cpp/
+
+gen/java/Car.java gen/java/Log.java: $(SRCS)
+	@echo "[ CAPNPC java ] $@"
+	mkdir -p gen/java/
+	$(CAPNPC) $^ -o java:gen/java
+
+# c-capnproto needs some empty headers
+gen/c/include/c++.capnp.h gen/c/include/java.capnp.h:
+	mkdir -p gen/c/include
+	touch '$@'
@@ -1,51 +0,0 @@
-# What is cereal?
-
-cereal is the messaging system for openpilot. It uses [msgq](https://github.com/commaai/msgq) as a pub/sub backend, and [Cap'n proto](https://capnproto.org/capnp-tool.html) for serialization of the structs.
-
-
-## Messaging Spec
-
-You'll find the message types in [log.capnp](log.capnp). It uses [Cap'n proto](https://capnproto.org/capnp-tool.html) and defines one struct called `Event`.
-
-All `Events` have a `logMonoTime` and a `valid`. Then a big union defines the packet type.
-
-### Best Practices
-
- **All fields must describe quantities in SI units**, unless otherwise specified in the field name.
- In the context of the message they are in, field names should be completely unambiguous.
- All values should be easy to plot and be human-readable with minimal parsing.
-
-### Maintaining backwards-compatibility
-
-When making changes to the messaging spec you want to maintain backwards-compatibility, such that old logs can
-be parsed with a new version of cereal. Adding structs and adding members to structs is generally safe, most other
-things are not. Read more details [here](https://capnproto.org/language.html).
-
-### Custom forks
-
-Forks of [openpilot](https://github.com/commaai/openpilot) might want to add things to the messaging
-spec, however this could conflict with future changes made in mainline cereal/openpilot. Rebasing against mainline openpilot
-then means breaking backwards-compatibility with all old logs of your fork. So we added reserved events in
-[custom.capnp](custom.capnp) that we will leave empty in mainline cereal/openpilot. **If you only modify those, you can ensure your
-fork will remain backwards-compatible with all versions of mainline openpilot and your fork.**
-
-Example
---
-```python
-import cereal.messaging as messaging
-
-# in subscriber
-sm = messaging.SubMaster(['sensorEvents'])
-while 1:
-  sm.update()
-  print(sm['sensorEvents'])
-
-```
-
-```python
-# in publisher
-pm = messaging.PubMaster(['sensorEvents'])
-dat = messaging.new_message('sensorEvents', size=1)
-dat.sensorEvents[0] = {"gyro": {"v": [0.1, -0.1, 0.1]}}
-pm.send('sensorEvents', dat)
-```
@@ -6,4 +6,3 @@ capnp.remove_import_hook()

 log = capnp.load(os.path.join(CEREAL_PATH, "log.capnp"))
 car = capnp.load(os.path.join(CEREAL_PATH, "car.capnp"))
-custom = capnp.load(os.path.join(CEREAL_PATH, "custom.capnp"))
@@ -1,28 +1,31 @@
 using Cxx = import "./include/c++.capnp";
 $Cxx.namespace("cereal");

+using Java = import "./include/java.capnp";
+$Java.package("ai.comma.openpilot.cereal");
+$Java.outerClassname("Car");
+
@0x8e2af1e708af8b8d;

 # ******* events causing controls state machine transition *******

 struct CarEvent @0x9b1657f34caf3ad3 {
  name @0 :EventName;
-
-  # event types
  enable @1 :Bool;
  noEntry @2 :Bool;
-  warning @3 :Bool;   # alerts presented only when  enabled or soft disabling
+  warning @3 :Bool;
  userDisable @4 :Bool;
  softDisable @5 :Bool;
  immediateDisable @6 :Bool;
  preEnable @7 :Bool;
-  permanent @8 :Bool; # alerts presented regardless of openpilot state
-  overrideLateral @10 :Bool;
-  overrideLongitudinal @9 :Bool;
+  permanent @8 :Bool;

  enum EventName @0xbaa8c5d505f727de {
-    canError @0;
+    # TODO: copy from error list
+    commIssue @0;
    steerUnavailable @1;
+    brakeUnavailable @2;
+    gasUnavailable @3;
    wrongGear @4;
    doorOpen @5;
    seatbeltNotLatched @6;
@@ -32,118 +35,39 @@ struct CarEvent @0x9b1657f34caf3ad3 {
    reverseGear @10;
    buttonCancel @11;
    buttonEnable @12;
-    pedalPressed @13;  # exits active state
-    preEnableStandstill @73;  # added during pre-enable state with brake
-    gasPressedOverride @108;  # added when user is pressing gas with no disengage on gas
-    steerOverride @114;
+    pedalPressed @13;
    cruiseDisabled @14;
+    radarCommIssue @15;
+    dataNeeded @16;
    speedTooLow @17;
    outOfSpace @18;
    overheat @19;
-    calibrationIncomplete @20;
+    calibrationInProgress @20;
    calibrationInvalid @21;
-    calibrationRecalibrating @117;
    controlsMismatch @22;
    pcmEnable @23;
    pcmDisable @24;
+    noTarget @25;
    radarFault @26;
+    modelCommIssue @27;
    brakeHold @28;
    parkBrake @29;
    manualRestart @30;
    lowSpeedLockout @31;
-    joystickDebug @34;
-    steerTempUnavailableSilent @35;
+    plannerError @32;
+    ipasOverride @33;
+    debugAlert @34;
+    steerTempUnavailableMute @35;
    resumeRequired @36;
    preDriverDistracted @37;
    promptDriverDistracted @38;
    driverDistracted @39;
+    geofence @40;
+    driverMonitorOn @41;
+    driverMonitorOff @42;
    preDriverUnresponsive @43;
    promptDriverUnresponsive @44;
    driverUnresponsive @45;
-    belowSteerSpeed @46;
-    lowBattery @48;
-    accFaulted @51;
-    sensorDataInvalid @52;
-    commIssue @53;
-    commIssueAvgFreq @109;
-    tooDistracted @54;
-    posenetInvalid @55;
-    soundsUnavailable @56;
-    preLaneChangeLeft @57;
-    preLaneChangeRight @58;
-    laneChange @59;
-    lowMemory @63;
-    stockAeb @64;
-    ldw @65;
-    carUnrecognized @66;
-    invalidLkasSetting @69;
-    speedTooHigh @70;
-    laneChangeBlocked @71;
-    relayMalfunction @72;
-    stockFcw @74;
-    startup @75;
-    startupNoCar @76;
-    startupNoControl @77;
-    startupMaster @78;
-    startupNoFw @104;
-    fcw @79;
-    steerSaturated @80;
-    belowEngageSpeed @84;
-    noGps @85;
-    wrongCruiseMode @87;
-    modeldLagging @89;
-    deviceFalling @90;
-    fanMalfunction @91;
-    cameraMalfunction @92;
-    cameraFrameRate @110;
-    processNotRunning @95;
-    dashcamMode @96;
-    controlsInitializing @98;
-    usbError @99;
-    roadCameraError @100;
-    driverCameraError @101;
-    wideRoadCameraError @102;
-    highCpuUsage @105;
-    cruiseMismatch @106;
-    lkasDisabled @107;
-    canBusMissing @111;
-    controlsdLagging @112;
-    resumeBlocked @113;
-    steerTimeLimit @115;
-    vehicleSensorsInvalid @116;
-    locationdTemporaryError @103;
-    locationdPermanentError @118;
-    paramsdTemporaryError @50;
-    paramsdPermanentError @119;
-    actuatorsApiUnavailable @120;
-    espActive @121;
-
-    radarCanErrorDEPRECATED @15;
-    communityFeatureDisallowedDEPRECATED @62;
-    radarCommIssueDEPRECATED @67;
-    driverMonitorLowAccDEPRECATED @68;
-    gasUnavailableDEPRECATED @3;
-    dataNeededDEPRECATED @16;
-    modelCommIssueDEPRECATED @27;
-    ipasOverrideDEPRECATED @33;
-    geofenceDEPRECATED @40;
-    driverMonitorOnDEPRECATED @41;
-    driverMonitorOffDEPRECATED @42;
-    calibrationProgressDEPRECATED @47;
-    invalidGiraffeHondaDEPRECATED @49;
-    invalidGiraffeToyotaDEPRECATED @60;
-    internetConnectivityNeededDEPRECATED @61;
-    whitePandaUnsupportedDEPRECATED @81;
-    commIssueWarningDEPRECATED @83;
-    focusRecoverActiveDEPRECATED @86;
-    neosUpdateRequiredDEPRECATED @88;
-    modelLagWarningDEPRECATED @93;
-    startupOneplusDEPRECATED @82;
-    startupFuzzyFingerprintDEPRECATED @97;
-    noTargetDEPRECATED @25;
-    brakeUnavailableDEPRECATED @2;
-    plannerErrorDEPRECATED @32;
-    gpsMalfunctionDEPRECATED @94;
  }
 }

@@ -151,51 +75,31 @@ struct CarEvent @0x9b1657f34caf3ad3 {
 # all speeds in m/s

 struct CarState {
+  errorsDEPRECATED @0 :List(CarEvent.EventName);
  events @13 :List(CarEvent);

-  # CAN health
-  canValid @26 :Bool;       # invalid counter/checksums
-  canTimeout @40 :Bool;     # CAN bus dropped out
-  canErrorCounter @48 :UInt32;
-
  # car speed
-  vEgo @1 :Float32;          # best estimate of speed
-  aEgo @16 :Float32;         # best estimate of acceleration
-  vEgoRaw @17 :Float32;      # unfiltered speed from CAN sensors
-  vEgoCluster @44 :Float32;  # best estimate of speed shown on car's instrument cluster, used for UI
-
+  vEgo @1 :Float32;         # best estimate of speed
+  aEgo @16 :Float32;        # best estimate of acceleration
+  vEgoRaw @17 :Float32;     # unfiltered speed from CAN sensors
  yawRate @22 :Float32;     # best estimate of yaw rate
  standstill @18 :Bool;
  wheelSpeeds @2 :WheelSpeeds;

  # gas pedal, 0.0-1.0
-  gas @3 :Float32;        # this is user pedal only
+  gas @3 :Float32;        # this is user + computer
  gasPressed @4 :Bool;    # this is user pedal only

-  engineRpm @46 :Float32;
-
  # brake pedal, 0.0-1.0
  brake @5 :Float32;      # this is user pedal only
  brakePressed @6 :Bool;  # this is user pedal only
-  regenBraking @45 :Bool; # this is user pedal only
-  parkingBrake @39 :Bool;
-  brakeHoldActive @38 :Bool;
+  brakeLights @19 :Bool;

  # steering wheel
-  steeringAngleDeg @7 :Float32;
-  steeringAngleOffsetDeg @37 :Float32; # Offset betweens sensors in case there multiple
-  steeringRateDeg @15 :Float32;
-  steeringTorque @8 :Float32;      # TODO: standardize units
-  steeringTorqueEps @27 :Float32;  # TODO: standardize units
-  steeringPressed @9 :Bool;        # if the user is using the steering wheel
-  steerFaultTemporary @35 :Bool;   # temporary EPS fault
-  steerFaultPermanent @36 :Bool;   # permanent EPS fault
-  stockAeb @30 :Bool;
-  stockFcw @31 :Bool;
-  espDisabled @32 :Bool;
-  accFaulted @42 :Bool;
-  carFaultedNonCritical @47 :Bool;  # some ECU is faulted, but car remains controllable
-  espActive @51 :Bool;
+  steeringAngle @7 :Float32;   # deg
+  steeringRate @15 :Float32;   # deg/s
+  steeringTorque @8 :Float32;  # TODO: standardize units
+  steeringPressed @9 :Bool;    # if the user is using the steering wheel

  # cruise state
  cruiseState @10 :CruiseState;
@@ -213,18 +117,8 @@ struct CarState {
  doorOpen @24 :Bool;
  seatbeltUnlatched @25 :Bool;

-  # clutch (manual transmission only)
-  clutchPressed @28 :Bool;
-
-  # blindspot sensors
-  leftBlindspot @33 :Bool; # Is there something blocking the left lane change
-  rightBlindspot @34 :Bool; # Is there something blocking the right lane change
-
-  fuelGauge @41 :Float32; # battery or fuel tank level from 0.0 to 1.0
-  charging @43 :Bool;
-
-  # process meta
-  cumLagMs @50 :Float32;
+  # which packets this state came from
+  canMonoTimes @12: List(UInt64);

  struct WheelSpeeds {
    # optional wheel speeds
@@ -237,11 +131,9 @@ struct CarState {
  struct CruiseState {
    enabled @0 :Bool;
    speed @1 :Float32;
-    speedCluster @6 :Float32;  # Set speed as shown on instrument cluster
    available @2 :Bool;
    speedOffset @3 :Float32;
    standstill @4 :Bool;
-    nonAdaptive @5 :Bool;
  }

  enum GearShifter {
@@ -253,10 +145,9 @@ struct CarState {
    sport @5;
    low @6;
    brake @7;
-    eco @8;
-    manumatic @9;
  }

+
  # send on change
  struct ButtonEvent {
    pressed @0 :Bool;
@@ -272,28 +163,21 @@ struct CarState {
      altButton1 @6;
      altButton2 @7;
      altButton3 @8;
-      setCruise @9;
-      resumeCruise @10;
-      gapAdjustCruise @11;
    }
  }
-
-  # deprecated
-  errorsDEPRECATED @0 :List(CarEvent.EventName);
-  brakeLightsDEPRECATED @19 :Bool;
-  steeringRateLimitedDEPRECATED @29 :Bool;
-  canMonoTimesDEPRECATED @12: List(UInt64);
-  canRcvTimeoutDEPRECATED @49 :Bool;
 }

 # ******* radar state @ 20hz *******

-struct RadarData @0x888ad6581cf0aacb {
+struct RadarState {
  errors @0 :List(Error);
  points @1 :List(RadarPoint);

+  # which packets this state came from
+  canMonoTimes @2 :List(UInt64);
+
  enum Error {
-    canError @0;
+    commIssue @0;
    fault @1;
    wrongConfig @2;
  }
@@ -315,9 +199,6 @@ struct RadarData @0x888ad6581cf0aacb {
    # some radars flag measurements VS estimates
    measured @6 :Bool;
  }
-
-  # deprecated
-  canMonoTimesDEPRECATED @2 :List(UInt64);
 }

 # ******* car controls @ 100hz *******
@@ -325,21 +206,14 @@ struct RadarData @0x888ad6581cf0aacb {
 struct CarControl {
  # must be true for any actuator commands to work
  enabled @0 :Bool;
-  latActive @11: Bool;
-  longActive @12: Bool;
+  active @7 :Bool;
+
+  gasDEPRECATED @1 :Float32;
+  brakeDEPRECATED @2 :Float32;
+  steeringTorqueDEPRECATED @3 :Float32;

-  # Actuator commands as computed by controlsd
  actuators @6 :Actuators;

-  # moved to CarOutput
-  actuatorsOutputDEPRECATED @10 :Actuators;
-
-  leftBlinker @15: Bool;
-  rightBlinker @16: Bool;
-
-  orientationNED @13 :List(Float32);
-  angularVelocity @14 :List(Float32);
-
  cruiseControl @4 :CruiseControl;
  hudControl @5 :HUDControl;

@@ -349,30 +223,14 @@ struct CarControl {
    brake @1: Float32;
    # range from -1.0 - 1.0
    steer @2: Float32;
-    # value sent over can to the car
-    steerOutputCan @8: Float32;
-    steeringAngleDeg @3: Float32;
-
-    curvature @7: Float32;
-
-    speed @6: Float32; # m/s
-    accel @4: Float32; # m/s^2
-    longControlState @5: LongControlState;
-
-    enum LongControlState @0xe40f3a917d908282{
-      off @0;
-      pid @1;
-      stopping @2;
-      starting @3;
-    }
+    steerAngle @3: Float32;
  }

  struct CruiseControl {
    cancel @0: Bool;
-    resume @1: Bool;
-    override @4: Bool;
-    speedOverrideDEPRECATED @2: Float32;
-    accelOverrideDEPRECATED @3: Float32;
+    override @1: Bool;
+    speedOverride @2: Float32;
+    accelOverride @3: Float32;
  }

  struct HUDControl {
@@ -382,11 +240,6 @@ struct CarControl {
    leadVisible @3: Bool;
    visualAlert @4: VisualAlert;
    audibleAlert @5: AudibleAlert;
-    rightLaneVisible @6: Bool;
-    leftLaneVisible @7: Bool;
-    rightLaneDepart @8: Bool;
-    leftLaneDepart @9: Bool;
-    leadDistanceBars @10: Int8;  # 1-3: 1 is closest, 3 is farthest. some ports may utilize 2-4 bars instead

    enum VisualAlert {
      # these are the choices from the Honda
@@ -398,311 +251,108 @@ struct CarControl {
      wrongGear @4;
      seatbeltUnbuckled @5;
      speedTooHigh @6;
-      ldw @7;
    }

    enum AudibleAlert {
+      # these are the choices from the Honda
+      # map as good as you can for your car
      none @0;
-
-      engage @1;
-      disengage @2;
-      refuse @3;
-
-      warningSoft @4;
-      warningImmediate @5;
-
-      prompt @6;
-      promptRepeat @7;
-      promptDistracted @8;
+      beepSingle @1;
+      beepTriple @2;
+      beepRepeated @3;
+      chimeSingle @4;
+      chimeDouble @5;
+      chimeRepeated @6;
+      chimeContinuous @7;
    }
  }
-
-  gasDEPRECATED @1 :Float32;
-  brakeDEPRECATED @2 :Float32;
-  steeringTorqueDEPRECATED @3 :Float32;
-  activeDEPRECATED @7 :Bool;
-  rollDEPRECATED @8 :Float32;
-  pitchDEPRECATED @9 :Float32;
-}
-
-struct CarOutput {
-  # Any car specific rate limits or quirks applied by
-  # the CarController are reflected in actuatorsOutput
-  # and matches what is sent to the car
-  actuatorsOutput @0 :CarControl.Actuators;
 }

 # ****** car param ******

 struct CarParams {
  carName @0 :Text;
-  carFingerprint @1 :Text;
-  fuzzyFingerprint @55 :Bool;
+  radarNameDEPRECATED @1 :Text;
+  carFingerprint @2 :Text;

-  notCar @66 :Bool;  # flag for non-car robotics platforms
+  enableSteerDEPRECATED @3 :Bool;
+  enableGasInterceptor @4 :Bool;
+  enableBrakeDEPRECATED @5 :Bool;
+  enableCruise @6 :Bool;
+  enableCamera @26 :Bool;
+  enableDsu @27 :Bool; # driving support unit
+  enableApgs @28 :Bool; # advanced parking guidance system

-  pcmCruise @3 :Bool;        # is openpilot's state tied to the PCM's cruise state?
-  enableDsu @5 :Bool;        # driving support unit
-  enableBsm @56 :Bool;       # blind spot monitoring
-  flags @64 :UInt32;         # flags for car specific quirks
-  experimentalLongitudinalAvailable @71 :Bool;
+  minEnableSpeed @17 :Float32;
+  safetyModel @18 :Int16;
+  safetyParam @41 :Int16;

-  minEnableSpeed @7 :Float32;
-  minSteerSpeed @8 :Float32;
-  safetyConfigs @62 :List(SafetyConfig);
-  alternativeExperience @65 :Int16;      # panda flag for features like no disengage on gas
+  steerMaxBP @19 :List(Float32);
+  steerMaxV @20 :List(Float32);
+  gasMaxBP @21 :List(Float32);
+  gasMaxV @22 :List(Float32);
+  brakeMaxBP @23 :List(Float32);
+  brakeMaxV @24 :List(Float32);

-  # Car docs fields
-  maxLateralAccel @68 :Float32;
-  autoResumeSng @69 :Bool;               # describes whether car can resume from a stop automatically
+  longPidDeadzoneBP @32 :List(Float32);
+  longPidDeadzoneV @33 :List(Float32);

-  # things about the car in the manual
-  mass @17 :Float32;            # [kg] curb weight: all fluids no cargo
-  wheelbase @18 :Float32;       # [m] distance from rear axle to front axle
-  centerToFront @19 :Float32;   # [m] distance from center of mass to front axle
-  steerRatio @20 :Float32;      # [] ratio of steering wheel angle to front wheel angle
-  steerRatioRear @21 :Float32;  # [] ratio of steering wheel angle to rear wheel angle (usually 0)
-
-  # things we can derive
-  rotationalInertia @22 :Float32;    # [kg*m2] body rotational inertia
-  tireStiffnessFactor @72 :Float32;  # scaling factor used in calculating tireStiffness[Front,Rear]
-  tireStiffnessFront @23 :Float32;   # [N/rad] front tire coeff of stiff
-  tireStiffnessRear @24 :Float32;    # [N/rad] rear tire coeff of stiff
-
-  longitudinalTuning @25 :LongitudinalPIDTuning;
-  lateralParams @48 :LateralParams;
-  lateralTuning :union {
-    pid @26 :LateralPIDTuning;
-    indiDEPRECATED @27 :LateralINDITuning;
-    lqrDEPRECATED @40 :LateralLQRTuning;
-    torque @67 :LateralTorqueTuning;
-  }
-
-  steerLimitAlert @28 :Bool;
-  steerLimitTimer @47 :Float32;  # time before steerLimitAlert is issued
-
-  vEgoStopping @29 :Float32; # Speed at which the car goes into stopping state
-  vEgoStarting @59 :Float32; # Speed at which the car goes into starting state
-  stoppingControl @31 :Bool; # Does the car allow full control even at lows speeds when stopping
-  steerControlType @34 :SteerControlType;
-  radarUnavailable @35 :Bool; # True when radar objects aren't visible on CAN or aren't parsed out
-  stopAccel @60 :Float32; # Required acceleration to keep vehicle stationary
-  stoppingDecelRate @52 :Float32; # m/s^2/s while trying to stop
-  startAccel @32 :Float32; # Required acceleration to get car moving
-  startingState @70 :Bool; # Does this car make use of special starting state
-
-  steerActuatorDelay @36 :Float32; # Steering wheel actuator delay in seconds
-  longitudinalActuatorDelay @58 :Float32; # Gas/Brake actuator delay in seconds
-  openpilotLongitudinalControl @37 :Bool; # is openpilot doing the longitudinal control?
-  carVin @38 :Text; # VIN number queried during fingerprinting
-  dashcamOnly @41: Bool;
-  passive @73: Bool;   # is openpilot in control?
-  transmissionType @43 :TransmissionType;
-  carFw @44 :List(CarFw);
-
-  radarTimeStep @45: Float32 = 0.05;  # time delta between radar updates, 20Hz is very standard
-  fingerprintSource @49: FingerprintSource;
-  networkLocation @50 :NetworkLocation;  # Where Panda/C2 is integrated into the car's CAN network
-
-  wheelSpeedFactor @63 :Float32; # Multiplier on wheels speeds to computer actual speeds
-
-  struct SafetyConfig {
-    safetyModel @0 :SafetyModel;
-    safetyParam @3 :UInt16;
-    safetyParamDEPRECATED @1 :Int16;
-    safetyParam2DEPRECATED @2 :UInt32;
-  }
-
-  struct LateralParams {
-    torqueBP @0 :List(Int32);
-    torqueV @1 :List(Int32);
-  }
-
-  struct LateralPIDTuning {
-    kpBP @0 :List(Float32);
-    kpV @1 :List(Float32);
-    kiBP @2 :List(Float32);
-    kiV @3 :List(Float32);
-    kf @4 :Float32;
-  }
-
-  struct LateralTorqueTuning {
-    useSteeringAngle @0 :Bool;
-    kp @1 :Float32;
-    ki @2 :Float32;
-    friction @3 :Float32;
-    kf @4 :Float32;
-    steeringAngleDeadzoneDeg @5 :Float32;
-    latAccelFactor @6 :Float32;
-    latAccelOffset @7 :Float32;
-  }
-
-  struct LongitudinalPIDTuning {
-    kpBP @0 :List(Float32);
-    kpV @1 :List(Float32);
-    kiBP @2 :List(Float32);
-    kiV @3 :List(Float32);
-    kf @6 :Float32;
-    deadzoneBPDEPRECATED @4 :List(Float32);
-    deadzoneVDEPRECATED @5 :List(Float32);
-  }
-
-  struct LateralINDITuning {
-    outerLoopGainBP @4 :List(Float32);
-    outerLoopGainV @5 :List(Float32);
-    innerLoopGainBP @6 :List(Float32);
-    innerLoopGainV @7 :List(Float32);
-    timeConstantBP @8 :List(Float32);
-    timeConstantV @9 :List(Float32);
-    actuatorEffectivenessBP @10 :List(Float32);
-    actuatorEffectivenessV @11 :List(Float32);
-
-    outerLoopGainDEPRECATED @0 :Float32;
-    innerLoopGainDEPRECATED @1 :Float32;
-    timeConstantDEPRECATED @2 :Float32;
-    actuatorEffectivenessDEPRECATED @3 :Float32;
-  }
-
-  struct LateralLQRTuning {
-    scale @0 :Float32;
-    ki @1 :Float32;
-    dcGain @2 :Float32;
-
-    # State space system
-    a @3 :List(Float32);
-    b @4 :List(Float32);
-    c @5 :List(Float32);
-
-    k @6 :List(Float32);  # LQR gain
-    l @7 :List(Float32);  # Kalman gain
-  }
-
-  enum SafetyModel {
-    silent @0;
-    hondaNidec @1;
+  enum SafetyModels {
+    # does NOT match board setting
+    noOutput @0;
+    honda @1;
    toyota @2;
    elm327 @3;
    gm @4;
-    hondaBoschGiraffe @5;
+    hondaBosch @5;
    ford @6;
    cadillac @7;
    hyundai @8;
    chrysler @9;
    tesla @10;
-    subaru @11;
-    gmPassive @12;
-    mazda @13;
-    nissan @14;
-    volkswagen @15;
-    toyotaIpas @16;
-    allOutput @17;
-    gmAscm @18;
-    noOutput @19;  # like silent but without silent CAN TXs
-    hondaBosch @20;
-    volkswagenPq @21;
-    subaruPreglobal @22;  # pre-Global platform
-    hyundaiLegacy @23;
-    hyundaiCommunity @24;
-    volkswagenMlb @25;
-    hongqi @26;
-    body @27;
-    hyundaiCanfd @28;
-    volkswagenMqbEvo @29;
-    chryslerCusw @30;
-    psa @31;
  }

+  # things about the car in the manual
+  mass @7 :Float32;             # [kg] running weight
+  wheelbase @8 :Float32;        # [m] distance from rear to front axle
+  centerToFront @9 :Float32;   # [m] GC distance to front axle
+  steerRatio @10 :Float32;       # [] ratio between front wheels and steering wheel angles
+  steerRatioRear @11 :Float32;  # [] rear steering ratio wrt front steering (usually 0)
+
+  # things we can derive
+  rotationalInertia @12 :Float32;    # [kg*m2] body rotational inertia
+  tireStiffnessFront @13 :Float32;   # [N/rad] front tire coeff of stiff
+  tireStiffnessRear @14 :Float32;    # [N/rad] rear tire coeff of stiff
+
+  # Kp and Ki for the lateral control
+  steerKpBP @42 :List(Float32);
+  steerKpV @43 :List(Float32);
+  steerKiBP @44 :List(Float32);
+  steerKiV @45 :List(Float32);
+  steerKpDEPRECATED @15 :Float32;
+  steerKiDEPRECATED @16 :Float32;
+  steerKf @25 :Float32;
+
+  # Kp and Ki for the longitudinal control
+  longitudinalKpBP @36 :List(Float32);
+  longitudinalKpV @37 :List(Float32);
+  longitudinalKiBP @38 :List(Float32);
+  longitudinalKiV @39 :List(Float32);
+
+  steerLimitAlert @29 :Bool;
+
+  vEgoStopping @30 :Float32; # Speed at which the car goes into stopping state
+  directAccelControl @31 :Bool; # Does the car have direct accel control or just gas/brake
+  stoppingControl @34 :Bool; # Does the car allows full control even at lows speeds when stopping
+  startAccel @35 :Float32; # Required acceleraton to overcome creep braking
+  steerRateCost @40 :Float32; # Lateral MPC cost on steering rate
+  steerControlType @46 :SteerControlType;
+  radarOffCan @47 :Bool; # True when radar objects aren't visible on CAN
+
+  steerActuatorDelay @48 :Float32; # Steering wheel actuator delay in seconds
+
  enum SteerControlType {
    torque @0;
    angle @1;
-
-    curvatureDEPRECATED @2;
  }
-
-  enum TransmissionType {
-    unknown @0;
-    automatic @1;  # Traditional auto, including DSG
-    manual @2;  # True "stick shift" only
-    direct @3;  # Electric vehicle or other direct drive
-    cvt @4;
-  }
-
-  struct CarFw {
-    ecu @0 :Ecu;
-    fwVersion @1 :Data;
-    address @2 :UInt32;
-    subAddress @3 :UInt8;
-    responseAddress @4 :UInt32;
-    request @5 :List(Data);
-    brand @6 :Text;
-    bus @7 :UInt8;
-    logging @8 :Bool;
-    obdMultiplexing @9 :Bool;
-  }
-
-  enum Ecu {
-    eps @0;
-    abs @1;
-    fwdRadar @2;
-    fwdCamera @3;
-    engine @4;
-    unknown @5;
-    transmission @8; # Transmission Control Module
-    hybrid @18; # hybrid control unit, e.g. Chrysler's HCP, Honda's IMA Control Unit, Toyota's hybrid control computer
-    srs @9; # airbag
-    gateway @10; # can gateway
-    hud @11; # heads up display
-    combinationMeter @12; # instrument cluster
-    electricBrakeBooster @15;
-    shiftByWire @16;
-    adas @19;
-    cornerRadar @21;
-    hvac @20;
-    parkingAdas @7;  # parking assist system ECU, e.g. Toyota's IPAS, Hyundai's RSPA, etc.
-    epb @22;  # electronic parking brake
-    telematics @23;
-    body @24;  # body control module
-
-    # Toyota only
-    dsu @6;
-
-    # Honda only
-    vsa @13; # Vehicle Stability Assist
-    programmedFuelInjection @14;
-
-    debug @17;
-  }
-
-  enum FingerprintSource {
-    can @0;
-    fw @1;
-    fixed @2;
-  }
-
-  enum NetworkLocation {
-    fwdCamera @0;  # Standard/default integration at LKAS camera
-    gateway @1;    # Integration at vehicle's CAN gateway
-  }
-
-  enableGasInterceptorDEPRECATED @2 :Bool;
-  enableCameraDEPRECATED @4 :Bool;
-  enableApgsDEPRECATED @6 :Bool;
-  steerRateCostDEPRECATED @33 :Float32;
-  isPandaBlackDEPRECATED @39 :Bool;
-  hasStockCameraDEPRECATED @57 :Bool;
-  safetyParamDEPRECATED @10 :Int16;
-  safetyModelDEPRECATED @9 :SafetyModel;
-  safetyModelPassiveDEPRECATED @42 :SafetyModel = silent;
-  minSpeedCanDEPRECATED @51 :Float32;
-  communityFeatureDEPRECATED @46: Bool;
-  startingAccelRateDEPRECATED @53 :Float32;
-  steerMaxBPDEPRECATED @11 :List(Float32);
-  steerMaxVDEPRECATED @12 :List(Float32);
-  gasMaxBPDEPRECATED @13 :List(Float32);
-  gasMaxVDEPRECATED @14 :List(Float32);
-  brakeMaxBPDEPRECATED @15 :List(Float32);
-  brakeMaxVDEPRECATED @16 :List(Float32);
-  directAccelControlDEPRECATED @30 :Bool;
-  maxSteeringAngleDegDEPRECATED @54 :Float32;
-  longitudinalActuatorDelayLowerBoundDEPRECATEDDEPRECATED @61 :Float32;
 }
@@ -1,77 +0,0 @@
-using Cxx = import "./include/c++.capnp";
-$Cxx.namespace("cereal");
-
-@0xb526ba661d550a59;
-
-# custom.capnp: a home for empty structs reserved for custom forks
-# These structs are guaranteed to remain reserved and empty in mainline
-# cereal, so use these if you want custom events in your fork.
-
-# you can rename the struct, but don't change the identifier
-struct ControlsStateExt @0x81c2f05a394cf4af {
-  alkaActive @0 :Bool;
-  alkaEnabled @1 :Bool;
-}
-
-struct LongitudinalPlanExt @0xaedffd8f31e7b55d {
-  de2eIsBlended @0 :Bool;
-  de2eIsEnabled @1 :Bool;
-  altDrivingPersonalityIsActive @2 :Bool;
-}
-
-enum LaneChangeAssistMode {
-  stock @0;
-  disable @1;
-  hold @2;
-  auto @3;
-}
-
-struct TeToo @0xf35cc4560bbf6ec2 {
-  lat @0 :Float32;
-  lon @1 :Float32;
-  bearing @2 :Float32;
-  name @3 :Text;
-  maxspeed @4 :Float32;
-  tags @5 :Text;
-
-  updatingData @6 :Bool;
-  nearestFeatures @7 :List(Feature);
-
-  struct Feature {
-    id @0 :Text;
-    type @1 :FeatureType;
-    lat @2 :Float32;
-    lon @3 :Float32;
-    bearing @4 :Float32;
-    distance @5 :Float32;
-    tags @6 :Text;
-    probability @7 :Float32;
-  }
-
-  enum FeatureType {
-    trafficSignal @0;
-    speedCamera @1;
-  }
-
-}
-
-struct CustomReserved3 @0xda96579883444c35 {
-}
-
-struct CustomReserved4 @0x80ae746ee2596b11 {
-}
-
-struct CustomReserved5 @0xa5cd762cd951a455 {
-}
-
-struct CustomReserved6 @0xf98d843bfd7004a3 {
-}
-
-struct CustomReserved7 @0xb86e6369214c01c8 {
-}
-
-struct CustomReserved8 @0xf416ec09499d9d19 {
-}
-
-struct CustomReserved9 @0xa1680744031fdb2d {
-}
@@ -1,876 +0,0 @@
-// Generated by Cap'n Proto compiler, DO NOT EDIT
-// source: custom.capnp
-
-#include "custom.capnp.h"
-
-namespace capnp {
-namespace schemas {
-static const ::capnp::_::AlignedData<50> b_81c2f05a394cf4af = {
-  {   0,   0,   0,   0,   5,   0,   6,   0,
-    175, 244,  76,  57,  90, 240, 194, 129,
-     13,   0,   0,   0,   1,   0,   1,   0,
-     89,  10,  85,  29, 102, 186,  38, 181,
-      0,   0,   7,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     21,   0,   0,   0, 242,   0,   0,   0,
-     33,   0,   0,   0,   7,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     29,   0,   0,   0, 119,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     99, 117, 115, 116, 111, 109,  46,  99,
-     97, 112, 110, 112,  58,  67, 111, 110,
-    116, 114, 111, 108, 115,  83, 116,  97,
-    116, 101,  69, 120, 116,   0,   0,   0,
-      0,   0,   0,   0,   1,   0,   1,   0,
-      8,   0,   0,   0,   3,   0,   4,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   1,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     41,   0,   0,   0,  90,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     40,   0,   0,   0,   3,   0,   1,   0,
-     52,   0,   0,   0,   2,   0,   1,   0,
-      1,   0,   0,   0,   1,   0,   0,   0,
-      0,   0,   1,   0,   1,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     49,   0,   0,   0,  98,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     48,   0,   0,   0,   3,   0,   1,   0,
-     60,   0,   0,   0,   2,   0,   1,   0,
-     97, 108, 107,  97,  65,  99, 116, 105,
-    118, 101,   0,   0,   0,   0,   0,   0,
-      1,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      1,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     97, 108, 107,  97,  69, 110,  97,  98,
-    108, 101, 100,   0,   0,   0,   0,   0,
-      1,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      1,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0, }
-};
-::capnp::word const* const bp_81c2f05a394cf4af = b_81c2f05a394cf4af.words;
-#if !CAPNP_LITE
-static const uint16_t m_81c2f05a394cf4af[] = {0, 1};
-static const uint16_t i_81c2f05a394cf4af[] = {0, 1};
-const ::capnp::_::RawSchema s_81c2f05a394cf4af = {
-  0x81c2f05a394cf4af, b_81c2f05a394cf4af.words, 50, nullptr, m_81c2f05a394cf4af,
-  0, 2, i_81c2f05a394cf4af, nullptr, nullptr, { &s_81c2f05a394cf4af, nullptr, nullptr, 0, 0, nullptr }, false
-};
-#endif  // !CAPNP_LITE
-static const ::capnp::_::AlignedData<69> b_aedffd8f31e7b55d = {
-  {   0,   0,   0,   0,   5,   0,   6,   0,
-     93, 181, 231,  49, 143, 253, 223, 174,
-     13,   0,   0,   0,   1,   0,   1,   0,
-     89,  10,  85,  29, 102, 186,  38, 181,
-      0,   0,   7,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     21,   0,   0,   0,  10,   1,   0,   0,
-     37,   0,   0,   0,   7,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     33,   0,   0,   0, 175,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     99, 117, 115, 116, 111, 109,  46,  99,
-     97, 112, 110, 112,  58,  76, 111, 110,
-    103, 105, 116, 117, 100, 105, 110,  97,
-    108,  80, 108,  97, 110,  69, 120, 116,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   1,   0,   1,   0,
-     12,   0,   0,   0,   3,   0,   4,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   1,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     69,   0,   0,   0, 114,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     68,   0,   0,   0,   3,   0,   1,   0,
-     80,   0,   0,   0,   2,   0,   1,   0,
-      1,   0,   0,   0,   1,   0,   0,   0,
-      0,   0,   1,   0,   1,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     77,   0,   0,   0, 114,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     76,   0,   0,   0,   3,   0,   1,   0,
-     88,   0,   0,   0,   2,   0,   1,   0,
-      2,   0,   0,   0,   2,   0,   0,   0,
-      0,   0,   1,   0,   2,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     85,   0,   0,   0, 242,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     92,   0,   0,   0,   3,   0,   1,   0,
-    104,   0,   0,   0,   2,   0,   1,   0,
-    100, 101,  50, 101,  73, 115,  66, 108,
-    101, 110, 100, 101, 100,   0,   0,   0,
-      1,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      1,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    100, 101,  50, 101,  73, 115,  69, 110,
-     97,  98, 108, 101, 100,   0,   0,   0,
-      1,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      1,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     97, 108, 116,  68, 114, 105, 118, 105,
-    110, 103,  80, 101, 114, 115, 111, 110,
-     97, 108, 105, 116, 121,  73, 115,  65,
-     99, 116, 105, 118, 101,   0,   0,   0,
-      1,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      1,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0, }
-};
-::capnp::word const* const bp_aedffd8f31e7b55d = b_aedffd8f31e7b55d.words;
-#if !CAPNP_LITE
-static const uint16_t m_aedffd8f31e7b55d[] = {2, 0, 1};
-static const uint16_t i_aedffd8f31e7b55d[] = {0, 1, 2};
-const ::capnp::_::RawSchema s_aedffd8f31e7b55d = {
-  0xaedffd8f31e7b55d, b_aedffd8f31e7b55d.words, 69, nullptr, m_aedffd8f31e7b55d,
-  0, 3, i_aedffd8f31e7b55d, nullptr, nullptr, { &s_aedffd8f31e7b55d, nullptr, nullptr, 0, 0, nullptr }, false
-};
-#endif  // !CAPNP_LITE
-static const ::capnp::_::AlignedData<35> b_db95ceb5f50cf43d = {
-  {   0,   0,   0,   0,   5,   0,   6,   0,
-     61, 244,  12, 245, 181, 206, 149, 219,
-     13,   0,   0,   0,   2,   0,   0,   0,
-     89,  10,  85,  29, 102, 186,  38, 181,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     21,   0,   0,   0,  18,   1,   0,   0,
-     37,   0,   0,   0,   7,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     33,   0,   0,   0, 103,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     99, 117, 115, 116, 111, 109,  46,  99,
-     97, 112, 110, 112,  58,  76,  97, 110,
-    101,  67, 104,  97, 110, 103, 101,  65,
-    115, 115, 105, 115, 116,  77, 111, 100,
-    101,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   1,   0,   1,   0,
-     16,   0,   0,   0,   1,   0,   2,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     41,   0,   0,   0,  50,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      1,   0,   0,   0,   0,   0,   0,   0,
-     33,   0,   0,   0,  66,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      2,   0,   0,   0,   0,   0,   0,   0,
-     25,   0,   0,   0,  42,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      3,   0,   0,   0,   0,   0,   0,   0,
-     17,   0,   0,   0,  42,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    115, 116, 111,  99, 107,   0,   0,   0,
-    100, 105, 115,  97,  98, 108, 101,   0,
-    104, 111, 108, 100,   0,   0,   0,   0,
-     97, 117, 116, 111,   0,   0,   0,   0, }
-};
-::capnp::word const* const bp_db95ceb5f50cf43d = b_db95ceb5f50cf43d.words;
-#if !CAPNP_LITE
-static const uint16_t m_db95ceb5f50cf43d[] = {3, 1, 2, 0};
-const ::capnp::_::RawSchema s_db95ceb5f50cf43d = {
-  0xdb95ceb5f50cf43d, b_db95ceb5f50cf43d.words, 35, nullptr, m_db95ceb5f50cf43d,
-  0, 4, nullptr, nullptr, nullptr, { &s_db95ceb5f50cf43d, nullptr, nullptr, 0, 0, nullptr }, false
-};
-#endif  // !CAPNP_LITE
-CAPNP_DEFINE_ENUM(LaneChangeAssistMode_db95ceb5f50cf43d, db95ceb5f50cf43d);
-static const ::capnp::_::AlignedData<151> b_f35cc4560bbf6ec2 = {
-  {   0,   0,   0,   0,   5,   0,   6,   0,
-    194, 110, 191,  11,  86, 196,  92, 243,
-     13,   0,   0,   0,   1,   0,   3,   0,
-     89,  10,  85,  29, 102, 186,  38, 181,
-      3,   0,   7,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     21,   0,   0,   0, 154,   0,   0,   0,
-     29,   0,   0,   0,  39,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     53,   0,   0,   0, 199,   1,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     99, 117, 115, 116, 111, 109,  46,  99,
-     97, 112, 110, 112,  58,  84, 101,  84,
-    111, 111,   0,   0,   0,   0,   0,   0,
-      8,   0,   0,   0,   1,   0,   1,   0,
-     12,  14, 188, 178, 108, 117, 214, 149,
-      9,   0,   0,   0,  66,   0,   0,   0,
-    243,  89, 193, 168, 200,  76,  33, 210,
-      5,   0,   0,   0,  98,   0,   0,   0,
-     70, 101,  97, 116, 117, 114, 101,   0,
-     70, 101,  97, 116, 117, 114, 101,  84,
-    121, 112, 101,   0,   0,   0,   0,   0,
-     32,   0,   0,   0,   3,   0,   4,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   1,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    209,   0,   0,   0,  34,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    204,   0,   0,   0,   3,   0,   1,   0,
-    216,   0,   0,   0,   2,   0,   1,   0,
-      1,   0,   0,   0,   1,   0,   0,   0,
-      0,   0,   1,   0,   1,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    213,   0,   0,   0,  34,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    208,   0,   0,   0,   3,   0,   1,   0,
-    220,   0,   0,   0,   2,   0,   1,   0,
-      2,   0,   0,   0,   2,   0,   0,   0,
-      0,   0,   1,   0,   2,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    217,   0,   0,   0,  66,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    212,   0,   0,   0,   3,   0,   1,   0,
-    224,   0,   0,   0,   2,   0,   1,   0,
-      3,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   1,   0,   3,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    221,   0,   0,   0,  42,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    216,   0,   0,   0,   3,   0,   1,   0,
-    228,   0,   0,   0,   2,   0,   1,   0,
-      4,   0,   0,   0,   3,   0,   0,   0,
-      0,   0,   1,   0,   4,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    225,   0,   0,   0,  74,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    224,   0,   0,   0,   3,   0,   1,   0,
-    236,   0,   0,   0,   2,   0,   1,   0,
-      5,   0,   0,   0,   1,   0,   0,   0,
-      0,   0,   1,   0,   5,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    233,   0,   0,   0,  42,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    228,   0,   0,   0,   3,   0,   1,   0,
-    240,   0,   0,   0,   2,   0,   1,   0,
-      6,   0,   0,   0, 128,   0,   0,   0,
-      0,   0,   1,   0,   6,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    237,   0,   0,   0, 106,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    236,   0,   0,   0,   3,   0,   1,   0,
-    248,   0,   0,   0,   2,   0,   1,   0,
-      7,   0,   0,   0,   2,   0,   0,   0,
-      0,   0,   1,   0,   7,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    245,   0,   0,   0, 130,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    244,   0,   0,   0,   3,   0,   1,   0,
-     16,   1,   0,   0,   2,   0,   1,   0,
-    108,  97, 116,   0,   0,   0,   0,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    108, 111, 110,   0,   0,   0,   0,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     98, 101,  97, 114, 105, 110, 103,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    110,  97, 109, 101,   0,   0,   0,   0,
-     12,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     12,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    109,  97, 120, 115, 112, 101, 101, 100,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    116,  97, 103, 115,   0,   0,   0,   0,
-     12,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     12,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    117, 112, 100,  97, 116, 105, 110, 103,
-     68,  97, 116,  97,   0,   0,   0,   0,
-      1,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      1,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    110, 101,  97, 114, 101, 115, 116,  70,
-    101,  97, 116, 117, 114, 101, 115,   0,
-     14,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   3,   0,   1,   0,
-     16,   0,   0,   0,   0,   0,   0,   0,
-     12,  14, 188, 178, 108, 117, 214, 149,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     14,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0, }
-};
-::capnp::word const* const bp_f35cc4560bbf6ec2 = b_f35cc4560bbf6ec2.words;
-#if !CAPNP_LITE
-static const ::capnp::_::RawSchema* const d_f35cc4560bbf6ec2[] = {
-  &s_95d6756cb2bc0e0c,
-};
-static const uint16_t m_f35cc4560bbf6ec2[] = {2, 0, 1, 4, 3, 7, 5, 6};
-static const uint16_t i_f35cc4560bbf6ec2[] = {0, 1, 2, 3, 4, 5, 6, 7};
-const ::capnp::_::RawSchema s_f35cc4560bbf6ec2 = {
-  0xf35cc4560bbf6ec2, b_f35cc4560bbf6ec2.words, 151, d_f35cc4560bbf6ec2, m_f35cc4560bbf6ec2,
-  1, 8, i_f35cc4560bbf6ec2, nullptr, nullptr, { &s_f35cc4560bbf6ec2, nullptr, nullptr, 0, 0, nullptr }, false
-};
-#endif  // !CAPNP_LITE
-static const ::capnp::_::AlignedData<140> b_95d6756cb2bc0e0c = {
-  {   0,   0,   0,   0,   5,   0,   6,   0,
-     12,  14, 188, 178, 108, 117, 214, 149,
-     19,   0,   0,   0,   1,   0,   3,   0,
-    194, 110, 191,  11,  86, 196,  92, 243,
-      2,   0,   7,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     21,   0,   0,   0, 218,   0,   0,   0,
-     33,   0,   0,   0,   7,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     29,   0,   0,   0, 199,   1,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     99, 117, 115, 116, 111, 109,  46,  99,
-     97, 112, 110, 112,  58,  84, 101,  84,
-    111, 111,  46,  70, 101,  97, 116, 117,
-    114, 101,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   1,   0,   1,   0,
-     32,   0,   0,   0,   3,   0,   4,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   1,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    209,   0,   0,   0,  26,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    204,   0,   0,   0,   3,   0,   1,   0,
-    216,   0,   0,   0,   2,   0,   1,   0,
-      1,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   1,   0,   1,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    213,   0,   0,   0,  42,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    208,   0,   0,   0,   3,   0,   1,   0,
-    220,   0,   0,   0,   2,   0,   1,   0,
-      2,   0,   0,   0,   1,   0,   0,   0,
-      0,   0,   1,   0,   2,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    217,   0,   0,   0,  34,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    212,   0,   0,   0,   3,   0,   1,   0,
-    224,   0,   0,   0,   2,   0,   1,   0,
-      3,   0,   0,   0,   2,   0,   0,   0,
-      0,   0,   1,   0,   3,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    221,   0,   0,   0,  34,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    216,   0,   0,   0,   3,   0,   1,   0,
-    228,   0,   0,   0,   2,   0,   1,   0,
-      4,   0,   0,   0,   3,   0,   0,   0,
-      0,   0,   1,   0,   4,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    225,   0,   0,   0,  66,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    220,   0,   0,   0,   3,   0,   1,   0,
-    232,   0,   0,   0,   2,   0,   1,   0,
-      5,   0,   0,   0,   4,   0,   0,   0,
-      0,   0,   1,   0,   5,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    229,   0,   0,   0,  74,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    228,   0,   0,   0,   3,   0,   1,   0,
-    240,   0,   0,   0,   2,   0,   1,   0,
-      6,   0,   0,   0,   1,   0,   0,   0,
-      0,   0,   1,   0,   6,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    237,   0,   0,   0,  42,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    232,   0,   0,   0,   3,   0,   1,   0,
-    244,   0,   0,   0,   2,   0,   1,   0,
-      7,   0,   0,   0,   5,   0,   0,   0,
-      0,   0,   1,   0,   7,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    241,   0,   0,   0,  98,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    240,   0,   0,   0,   3,   0,   1,   0,
-    252,   0,   0,   0,   2,   0,   1,   0,
-    105, 100,   0,   0,   0,   0,   0,   0,
-     12,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     12,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    116, 121, 112, 101,   0,   0,   0,   0,
-     15,   0,   0,   0,   0,   0,   0,   0,
-    243,  89, 193, 168, 200,  76,  33, 210,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     15,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    108,  97, 116,   0,   0,   0,   0,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    108, 111, 110,   0,   0,   0,   0,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     98, 101,  97, 114, 105, 110, 103,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    100, 105, 115, 116,  97, 110,  99, 101,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    116,  97, 103, 115,   0,   0,   0,   0,
-     12,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     12,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    112, 114, 111,  98,  97,  98, 105, 108,
-    105, 116, 121,   0,   0,   0,   0,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     10,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0, }
-};
-::capnp::word const* const bp_95d6756cb2bc0e0c = b_95d6756cb2bc0e0c.words;
-#if !CAPNP_LITE
-static const ::capnp::_::RawSchema* const d_95d6756cb2bc0e0c[] = {
-  &s_d2214cc8a8c159f3,
-};
-static const uint16_t m_95d6756cb2bc0e0c[] = {4, 5, 0, 2, 3, 7, 6, 1};
-static const uint16_t i_95d6756cb2bc0e0c[] = {0, 1, 2, 3, 4, 5, 6, 7};
-const ::capnp::_::RawSchema s_95d6756cb2bc0e0c = {
-  0x95d6756cb2bc0e0c, b_95d6756cb2bc0e0c.words, 140, d_95d6756cb2bc0e0c, m_95d6756cb2bc0e0c,
-  1, 8, i_95d6756cb2bc0e0c, nullptr, nullptr, { &s_95d6756cb2bc0e0c, nullptr, nullptr, 0, 0, nullptr }, false
-};
-#endif  // !CAPNP_LITE
-static const ::capnp::_::AlignedData<28> b_d2214cc8a8c159f3 = {
-  {   0,   0,   0,   0,   5,   0,   6,   0,
-    243,  89, 193, 168, 200,  76,  33, 210,
-     19,   0,   0,   0,   2,   0,   0,   0,
-    194, 110, 191,  11,  86, 196,  92, 243,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     21,   0,   0,   0, 250,   0,   0,   0,
-     33,   0,   0,   0,   7,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     29,   0,   0,   0,  55,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     99, 117, 115, 116, 111, 109,  46,  99,
-     97, 112, 110, 112,  58,  84, 101,  84,
-    111, 111,  46,  70, 101,  97, 116, 117,
-    114, 101,  84, 121, 112, 101,   0,   0,
-      0,   0,   0,   0,   1,   0,   1,   0,
-      8,   0,   0,   0,   1,   0,   2,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     17,   0,   0,   0, 114,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      1,   0,   0,   0,   0,   0,   0,   0,
-     13,   0,   0,   0,  98,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-    116, 114,  97, 102, 102, 105,  99,  83,
-    105, 103, 110,  97, 108,   0,   0,   0,
-    115, 112, 101, 101, 100,  67,  97, 109,
-    101, 114,  97,   0,   0,   0,   0,   0, }
-};
-::capnp::word const* const bp_d2214cc8a8c159f3 = b_d2214cc8a8c159f3.words;
-#if !CAPNP_LITE
-static const uint16_t m_d2214cc8a8c159f3[] = {1, 0};
-const ::capnp::_::RawSchema s_d2214cc8a8c159f3 = {
-  0xd2214cc8a8c159f3, b_d2214cc8a8c159f3.words, 28, nullptr, m_d2214cc8a8c159f3,
-  0, 2, nullptr, nullptr, nullptr, { &s_d2214cc8a8c159f3, nullptr, nullptr, 0, 0, nullptr }, false
-};
-#endif  // !CAPNP_LITE
-CAPNP_DEFINE_ENUM(FeatureType_d2214cc8a8c159f3, d2214cc8a8c159f3);
-static const ::capnp::_::AlignedData<17> b_da96579883444c35 = {
-  {   0,   0,   0,   0,   5,   0,   6,   0,
-     53,  76,  68, 131, 152,  87, 150, 218,
-     13,   0,   0,   0,   1,   0,   0,   0,
-     89,  10,  85,  29, 102, 186,  38, 181,
-      0,   0,   7,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     21,   0,   0,   0, 234,   0,   0,   0,
-     33,   0,   0,   0,   7,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     99, 117, 115, 116, 111, 109,  46,  99,
-     97, 112, 110, 112,  58,  67, 117, 115,
-    116, 111, 109,  82, 101, 115, 101, 114,
-    118, 101, 100,  51,   0,   0,   0,   0,
-      0,   0,   0,   0,   1,   0,   1,   0, }
-};
-::capnp::word const* const bp_da96579883444c35 = b_da96579883444c35.words;
-#if !CAPNP_LITE
-const ::capnp::_::RawSchema s_da96579883444c35 = {
-  0xda96579883444c35, b_da96579883444c35.words, 17, nullptr, nullptr,
-  0, 0, nullptr, nullptr, nullptr, { &s_da96579883444c35, nullptr, nullptr, 0, 0, nullptr }, false
-};
-#endif  // !CAPNP_LITE
-static const ::capnp::_::AlignedData<17> b_80ae746ee2596b11 = {
-  {   0,   0,   0,   0,   5,   0,   6,   0,
-     17, 107,  89, 226, 110, 116, 174, 128,
-     13,   0,   0,   0,   1,   0,   0,   0,
-     89,  10,  85,  29, 102, 186,  38, 181,
-      0,   0,   7,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     21,   0,   0,   0, 234,   0,   0,   0,
-     33,   0,   0,   0,   7,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     99, 117, 115, 116, 111, 109,  46,  99,
-     97, 112, 110, 112,  58,  67, 117, 115,
-    116, 111, 109,  82, 101, 115, 101, 114,
-    118, 101, 100,  52,   0,   0,   0,   0,
-      0,   0,   0,   0,   1,   0,   1,   0, }
-};
-::capnp::word const* const bp_80ae746ee2596b11 = b_80ae746ee2596b11.words;
-#if !CAPNP_LITE
-const ::capnp::_::RawSchema s_80ae746ee2596b11 = {
-  0x80ae746ee2596b11, b_80ae746ee2596b11.words, 17, nullptr, nullptr,
-  0, 0, nullptr, nullptr, nullptr, { &s_80ae746ee2596b11, nullptr, nullptr, 0, 0, nullptr }, false
-};
-#endif  // !CAPNP_LITE
-static const ::capnp::_::AlignedData<17> b_a5cd762cd951a455 = {
-  {   0,   0,   0,   0,   5,   0,   6,   0,
-     85, 164,  81, 217,  44, 118, 205, 165,
-     13,   0,   0,   0,   1,   0,   0,   0,
-     89,  10,  85,  29, 102, 186,  38, 181,
-      0,   0,   7,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     21,   0,   0,   0, 234,   0,   0,   0,
-     33,   0,   0,   0,   7,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     99, 117, 115, 116, 111, 109,  46,  99,
-     97, 112, 110, 112,  58,  67, 117, 115,
-    116, 111, 109,  82, 101, 115, 101, 114,
-    118, 101, 100,  53,   0,   0,   0,   0,
-      0,   0,   0,   0,   1,   0,   1,   0, }
-};
-::capnp::word const* const bp_a5cd762cd951a455 = b_a5cd762cd951a455.words;
-#if !CAPNP_LITE
-const ::capnp::_::RawSchema s_a5cd762cd951a455 = {
-  0xa5cd762cd951a455, b_a5cd762cd951a455.words, 17, nullptr, nullptr,
-  0, 0, nullptr, nullptr, nullptr, { &s_a5cd762cd951a455, nullptr, nullptr, 0, 0, nullptr }, false
-};
-#endif  // !CAPNP_LITE
-static const ::capnp::_::AlignedData<17> b_f98d843bfd7004a3 = {
-  {   0,   0,   0,   0,   5,   0,   6,   0,
-    163,   4, 112, 253,  59, 132, 141, 249,
-     13,   0,   0,   0,   1,   0,   0,   0,
-     89,  10,  85,  29, 102, 186,  38, 181,
-      0,   0,   7,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     21,   0,   0,   0, 234,   0,   0,   0,
-     33,   0,   0,   0,   7,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     99, 117, 115, 116, 111, 109,  46,  99,
-     97, 112, 110, 112,  58,  67, 117, 115,
-    116, 111, 109,  82, 101, 115, 101, 114,
-    118, 101, 100,  54,   0,   0,   0,   0,
-      0,   0,   0,   0,   1,   0,   1,   0, }
-};
-::capnp::word const* const bp_f98d843bfd7004a3 = b_f98d843bfd7004a3.words;
-#if !CAPNP_LITE
-const ::capnp::_::RawSchema s_f98d843bfd7004a3 = {
-  0xf98d843bfd7004a3, b_f98d843bfd7004a3.words, 17, nullptr, nullptr,
-  0, 0, nullptr, nullptr, nullptr, { &s_f98d843bfd7004a3, nullptr, nullptr, 0, 0, nullptr }, false
-};
-#endif  // !CAPNP_LITE
-static const ::capnp::_::AlignedData<17> b_b86e6369214c01c8 = {
-  {   0,   0,   0,   0,   5,   0,   6,   0,
-    200,   1,  76,  33, 105,  99, 110, 184,
-     13,   0,   0,   0,   1,   0,   0,   0,
-     89,  10,  85,  29, 102, 186,  38, 181,
-      0,   0,   7,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     21,   0,   0,   0, 234,   0,   0,   0,
-     33,   0,   0,   0,   7,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     99, 117, 115, 116, 111, 109,  46,  99,
-     97, 112, 110, 112,  58,  67, 117, 115,
-    116, 111, 109,  82, 101, 115, 101, 114,
-    118, 101, 100,  55,   0,   0,   0,   0,
-      0,   0,   0,   0,   1,   0,   1,   0, }
-};
-::capnp::word const* const bp_b86e6369214c01c8 = b_b86e6369214c01c8.words;
-#if !CAPNP_LITE
-const ::capnp::_::RawSchema s_b86e6369214c01c8 = {
-  0xb86e6369214c01c8, b_b86e6369214c01c8.words, 17, nullptr, nullptr,
-  0, 0, nullptr, nullptr, nullptr, { &s_b86e6369214c01c8, nullptr, nullptr, 0, 0, nullptr }, false
-};
-#endif  // !CAPNP_LITE
-static const ::capnp::_::AlignedData<17> b_f416ec09499d9d19 = {
-  {   0,   0,   0,   0,   5,   0,   6,   0,
-     25, 157, 157,  73,   9, 236,  22, 244,
-     13,   0,   0,   0,   1,   0,   0,   0,
-     89,  10,  85,  29, 102, 186,  38, 181,
-      0,   0,   7,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     21,   0,   0,   0, 234,   0,   0,   0,
-     33,   0,   0,   0,   7,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     99, 117, 115, 116, 111, 109,  46,  99,
-     97, 112, 110, 112,  58,  67, 117, 115,
-    116, 111, 109,  82, 101, 115, 101, 114,
-    118, 101, 100,  56,   0,   0,   0,   0,
-      0,   0,   0,   0,   1,   0,   1,   0, }
-};
-::capnp::word const* const bp_f416ec09499d9d19 = b_f416ec09499d9d19.words;
-#if !CAPNP_LITE
-const ::capnp::_::RawSchema s_f416ec09499d9d19 = {
-  0xf416ec09499d9d19, b_f416ec09499d9d19.words, 17, nullptr, nullptr,
-  0, 0, nullptr, nullptr, nullptr, { &s_f416ec09499d9d19, nullptr, nullptr, 0, 0, nullptr }, false
-};
-#endif  // !CAPNP_LITE
-static const ::capnp::_::AlignedData<17> b_a1680744031fdb2d = {
-  {   0,   0,   0,   0,   5,   0,   6,   0,
-     45, 219,  31,   3,  68,   7, 104, 161,
-     13,   0,   0,   0,   1,   0,   0,   0,
-     89,  10,  85,  29, 102, 186,  38, 181,
-      0,   0,   7,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     21,   0,   0,   0, 234,   0,   0,   0,
-     33,   0,   0,   0,   7,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-      0,   0,   0,   0,   0,   0,   0,   0,
-     99, 117, 115, 116, 111, 109,  46,  99,
-     97, 112, 110, 112,  58,  67, 117, 115,
-    116, 111, 109,  82, 101, 115, 101, 114,
-    118, 101, 100,  57,   0,   0,   0,   0,
-      0,   0,   0,   0,   1,   0,   1,   0, }
-};
-::capnp::word const* const bp_a1680744031fdb2d = b_a1680744031fdb2d.words;
-#if !CAPNP_LITE
-const ::capnp::_::RawSchema s_a1680744031fdb2d = {
-  0xa1680744031fdb2d, b_a1680744031fdb2d.words, 17, nullptr, nullptr,
-  0, 0, nullptr, nullptr, nullptr, { &s_a1680744031fdb2d, nullptr, nullptr, 0, 0, nullptr }, false
-};
-#endif  // !CAPNP_LITE
-}  // namespace schemas
-}  // namespace capnp
-
-// =======================================================================================
-
-namespace cereal {
-
-// ControlsStateExt
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr uint16_t ControlsStateExt::_capnpPrivate::dataWordSize;
-constexpr uint16_t ControlsStateExt::_capnpPrivate::pointerCount;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#if !CAPNP_LITE
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr ::capnp::Kind ControlsStateExt::_capnpPrivate::kind;
-constexpr ::capnp::_::RawSchema const* ControlsStateExt::_capnpPrivate::schema;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#endif  // !CAPNP_LITE
-
-// LongitudinalPlanExt
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr uint16_t LongitudinalPlanExt::_capnpPrivate::dataWordSize;
-constexpr uint16_t LongitudinalPlanExt::_capnpPrivate::pointerCount;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#if !CAPNP_LITE
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr ::capnp::Kind LongitudinalPlanExt::_capnpPrivate::kind;
-constexpr ::capnp::_::RawSchema const* LongitudinalPlanExt::_capnpPrivate::schema;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#endif  // !CAPNP_LITE
-
-// TeToo
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr uint16_t TeToo::_capnpPrivate::dataWordSize;
-constexpr uint16_t TeToo::_capnpPrivate::pointerCount;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#if !CAPNP_LITE
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr ::capnp::Kind TeToo::_capnpPrivate::kind;
-constexpr ::capnp::_::RawSchema const* TeToo::_capnpPrivate::schema;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#endif  // !CAPNP_LITE
-
-// TeToo::Feature
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr uint16_t TeToo::Feature::_capnpPrivate::dataWordSize;
-constexpr uint16_t TeToo::Feature::_capnpPrivate::pointerCount;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#if !CAPNP_LITE
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr ::capnp::Kind TeToo::Feature::_capnpPrivate::kind;
-constexpr ::capnp::_::RawSchema const* TeToo::Feature::_capnpPrivate::schema;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#endif  // !CAPNP_LITE
-
-// CustomReserved3
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr uint16_t CustomReserved3::_capnpPrivate::dataWordSize;
-constexpr uint16_t CustomReserved3::_capnpPrivate::pointerCount;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#if !CAPNP_LITE
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr ::capnp::Kind CustomReserved3::_capnpPrivate::kind;
-constexpr ::capnp::_::RawSchema const* CustomReserved3::_capnpPrivate::schema;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#endif  // !CAPNP_LITE
-
-// CustomReserved4
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr uint16_t CustomReserved4::_capnpPrivate::dataWordSize;
-constexpr uint16_t CustomReserved4::_capnpPrivate::pointerCount;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#if !CAPNP_LITE
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr ::capnp::Kind CustomReserved4::_capnpPrivate::kind;
-constexpr ::capnp::_::RawSchema const* CustomReserved4::_capnpPrivate::schema;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#endif  // !CAPNP_LITE
-
-// CustomReserved5
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr uint16_t CustomReserved5::_capnpPrivate::dataWordSize;
-constexpr uint16_t CustomReserved5::_capnpPrivate::pointerCount;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#if !CAPNP_LITE
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr ::capnp::Kind CustomReserved5::_capnpPrivate::kind;
-constexpr ::capnp::_::RawSchema const* CustomReserved5::_capnpPrivate::schema;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#endif  // !CAPNP_LITE
-
-// CustomReserved6
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr uint16_t CustomReserved6::_capnpPrivate::dataWordSize;
-constexpr uint16_t CustomReserved6::_capnpPrivate::pointerCount;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#if !CAPNP_LITE
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr ::capnp::Kind CustomReserved6::_capnpPrivate::kind;
-constexpr ::capnp::_::RawSchema const* CustomReserved6::_capnpPrivate::schema;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#endif  // !CAPNP_LITE
-
-// CustomReserved7
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr uint16_t CustomReserved7::_capnpPrivate::dataWordSize;
-constexpr uint16_t CustomReserved7::_capnpPrivate::pointerCount;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#if !CAPNP_LITE
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr ::capnp::Kind CustomReserved7::_capnpPrivate::kind;
-constexpr ::capnp::_::RawSchema const* CustomReserved7::_capnpPrivate::schema;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#endif  // !CAPNP_LITE
-
-// CustomReserved8
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr uint16_t CustomReserved8::_capnpPrivate::dataWordSize;
-constexpr uint16_t CustomReserved8::_capnpPrivate::pointerCount;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#if !CAPNP_LITE
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr ::capnp::Kind CustomReserved8::_capnpPrivate::kind;
-constexpr ::capnp::_::RawSchema const* CustomReserved8::_capnpPrivate::schema;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#endif  // !CAPNP_LITE
-
-// CustomReserved9
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr uint16_t CustomReserved9::_capnpPrivate::dataWordSize;
-constexpr uint16_t CustomReserved9::_capnpPrivate::pointerCount;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#if !CAPNP_LITE
-#if CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-constexpr ::capnp::Kind CustomReserved9::_capnpPrivate::kind;
-constexpr ::capnp::_::RawSchema const* CustomReserved9::_capnpPrivate::schema;
-#endif  // !CAPNP_NEED_REDUNDANT_CONSTEXPR_DECL
-#endif  // !CAPNP_LITE
-
-
-}  // namespace
-
@@ -0,0 +1,28 @@
+# Copyright (c) 2013-2015 Sandstorm Development Group, Inc. and contributors
+# Licensed under the MIT License:
+#
+# 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.
+
+@0xc5f1af96651f70ea;
+
+annotation package @0x9ee4c8f803b3b596 (file) : Text;
+# Name of the package, such as "org.example.foo", in which the generated code will reside.
+
+annotation outerClassname @0x9b066bb4881f7cd3 (file) : Text;
+# Name of the outer class that will wrap the generated code.
@@ -1,574 +0,0 @@
-using Cxx = import "./include/c++.capnp";
-$Cxx.namespace("cereal");
-
-@0x80ef1ec4889c2a63;
-
-# legacy.capnp: a home for deprecated structs
-
-struct LogRotate @0x9811e1f38f62f2d1 {
-  segmentNum @0 :Int32;
-  path @1 :Text;
-}
-
-struct LiveUI @0xc08240f996aefced {
-  rearViewCam @0 :Bool;
-  alertText1 @1 :Text;
-  alertText2 @2 :Text;
-  awarenessStatus @3 :Float32;
-}
-
-struct UiLayoutState @0x88dcce08ad29dda0 {
-  activeApp @0 :App;
-  sidebarCollapsed @1 :Bool;
-  mapEnabled @2 :Bool;
-  mockEngaged @3 :Bool;
-
-  enum App @0x9917470acf94d285 {
-    home @0;
-    music @1;
-    nav @2;
-    settings @3;
-    none @4;
-  }
-}
-
-struct OrbslamCorrection @0x8afd33dc9b35e1aa {
-  correctionMonoTime @0 :UInt64;
-  prePositionECEF @1 :List(Float64);
-  postPositionECEF @2 :List(Float64);
-  prePoseQuatECEF @3 :List(Float32);
-  postPoseQuatECEF @4 :List(Float32);
-  numInliers @5 :UInt32;
-}
-
-struct EthernetPacket @0xa99a9d5b33cf5859 {
-  pkt @0 :Data;
-  ts @1 :Float32;
-}
-
-struct CellInfo @0xcff7566681c277ce {
-  timestamp @0 :UInt64;
-  repr @1 :Text; # android toString() for now
-}
-
-struct WifiScan @0xd4df5a192382ba0b {
-  bssid @0 :Text;
-  ssid @1 :Text;
-  capabilities @2 :Text;
-  frequency @3 :Int32;
-  level @4 :Int32;
-  timestamp @5 :Int64;
-
-  centerFreq0 @6 :Int32;
-  centerFreq1 @7 :Int32;
-  channelWidth @8 :ChannelWidth;
-  operatorFriendlyName @9 :Text;
-  venueName @10 :Text;
-  is80211mcResponder @11 :Bool;
-  passpoint @12 :Bool;
-
-  distanceCm @13 :Int32;
-  distanceSdCm @14 :Int32;
-
-  enum ChannelWidth @0xcb6a279f015f6b51 {
-    w20Mhz @0;
-    w40Mhz @1;
-    w80Mhz @2;
-    w160Mhz @3;
-    w80Plus80Mhz @4;
-  }
-}
-
-struct LiveEventData @0x94b7baa90c5c321e {
-  name @0 :Text;
-  value @1 :Int32;
-}
-
-struct ModelData @0xb8aad62cffef28a9 {
-  frameId @0 :UInt32;
-  frameAge @12 :UInt32;
-  frameDropPerc @13 :Float32;
-  timestampEof @9 :UInt64;
-  modelExecutionTime @14 :Float32;
-  gpuExecutionTime @16 :Float32;
-  rawPred @15 :Data;
-
-  path @1 :PathData;
-  leftLane @2 :PathData;
-  rightLane @3 :PathData;
-  lead @4 :LeadData;
-  freePath @6 :List(Float32);
-
-  settings @5 :ModelSettings;
-  leadFuture @7 :LeadData;
-  speed @8 :List(Float32);
-  meta @10 :MetaData;
-  longitudinal @11 :LongitudinalData;
-
-  struct PathData @0x8817eeea389e9f08 {
-    points @0 :List(Float32);
-    prob @1 :Float32;
-    std @2 :Float32;
-    stds @3 :List(Float32);
-    poly @4 :List(Float32);
-    validLen @5 :Float32;
-  }
-
-  struct LeadData @0xd1c9bef96d26fa91 {
-    dist @0 :Float32;
-    prob @1 :Float32;
-    std @2 :Float32;
-    relVel @3 :Float32;
-    relVelStd @4 :Float32;
-    relY @5 :Float32;
-    relYStd @6 :Float32;
-    relA @7 :Float32;
-    relAStd @8 :Float32;
-  }
-
-  struct ModelSettings @0xa26e3710efd3e914 {
-    bigBoxX @0 :UInt16;
-    bigBoxY @1 :UInt16;
-    bigBoxWidth @2 :UInt16;
-    bigBoxHeight @3 :UInt16;
-    boxProjection @4 :List(Float32);
-    yuvCorrection @5 :List(Float32);
-    inputTransform @6 :List(Float32);
-  }
-
-  struct MetaData @0x9744f25fb60f2bf8 {
-    engagedProb @0 :Float32;
-    desirePrediction @1 :List(Float32);
-    brakeDisengageProb @2 :Float32;
-    gasDisengageProb @3 :Float32;
-    steerOverrideProb @4 :Float32;
-    desireState @5 :List(Float32);
-  }
-
-  struct LongitudinalData @0xf98f999c6a071122 {
-    distances @2 :List(Float32);
-    speeds @0 :List(Float32);
-    accelerations @1 :List(Float32);
-  }
-}
-
-struct ECEFPoint @0xc25bbbd524983447 {
-  x @0 :Float64;
-  y @1 :Float64;
-  z @2 :Float64;
-}
-
-struct ECEFPointDEPRECATED @0xe10e21168db0c7f7 {
-  x @0 :Float32;
-  y @1 :Float32;
-  z @2 :Float32;
-}
-
-struct GPSPlannerPoints @0xab54c59699f8f9f3 {
-  curPosDEPRECATED @0 :ECEFPointDEPRECATED;
-  pointsDEPRECATED @1 :List(ECEFPointDEPRECATED);
-  curPos @6 :ECEFPoint;
-  points @7 :List(ECEFPoint);
-  valid @2 :Bool;
-  trackName @3 :Text;
-  speedLimit @4 :Float32;
-  accelTarget @5 :Float32;
-}
-
-struct GPSPlannerPlan @0xf5ad1d90cdc1dd6b {
-  valid @0 :Bool;
-  poly @1 :List(Float32);
-  trackName @2 :Text;
-  speed @3 :Float32;
-  acceleration @4 :Float32;
-  pointsDEPRECATED @5 :List(ECEFPointDEPRECATED);
-  points @6 :List(ECEFPoint);
-  xLookahead @7 :Float32;
-}
-
-struct UiNavigationEvent @0x90c8426c3eaddd3b {
-  type @0: Type;
-  status @1: Status;
-  distanceTo @2: Float32;
-  endRoadPointDEPRECATED @3: ECEFPointDEPRECATED;
-  endRoadPoint @4: ECEFPoint;
-
-  enum Type @0xe8db07dcf8fcea05 {
-    none @0;
-    laneChangeLeft @1;
-    laneChangeRight @2;
-    mergeLeft @3;
-    mergeRight @4;
-    turnLeft @5;
-    turnRight @6;
-  }
-
-  enum Status @0xb9aa88c75ef99a1f {
-    none @0;
-    passive @1;
-    approaching @2;
-    active @3;
-  }
-}
-
-struct LiveLocationData @0xb99b2bc7a57e8128 {
-  status @0 :UInt8;
-
-  # 3D fix
-  lat @1 :Float64;
-  lon @2 :Float64;
-  alt @3 :Float32;     # m
-
-  # speed
-  speed @4 :Float32;   # m/s
-
-  # NED velocity components
-  vNED @5 :List(Float32);
-
-  # roll, pitch, heading (x,y,z)
-  roll @6 :Float32;     # WRT to center of earth?
-  pitch @7 :Float32;    # WRT to center of earth?
-  heading @8 :Float32;  # WRT to north?
-
-  # what are these?
-  wanderAngle @9 :Float32;
-  trackAngle @10 :Float32;
-
-  # car frame -- https://upload.wikimedia.org/wikipedia/commons/f/f5/RPY_angles_of_cars.png
-
-  # gyro, in car frame, deg/s
-  gyro @11 :List(Float32);
-
-  # accel, in car frame, m/s^2
-  accel @12 :List(Float32);
-
-  accuracy @13 :Accuracy;
-
-  source @14 :SensorSource;
-  # if we are fixing a location in the past
-  fixMonoTime @15 :UInt64;
-
-  gpsWeek @16 :Int32;
-  timeOfWeek @17 :Float64;
-
-  positionECEF @18 :List(Float64);
-  poseQuatECEF @19 :List(Float32);
-  pitchCalibration @20 :Float32;
-  yawCalibration @21 :Float32;
-  imuFrame @22 :List(Float32);
-
-  struct Accuracy @0x943dc4625473b03f {
-    pNEDError @0 :List(Float32);
-    vNEDError @1 :List(Float32);
-    rollError @2 :Float32;
-    pitchError @3 :Float32;
-    headingError @4 :Float32;
-    ellipsoidSemiMajorError @5 :Float32;
-    ellipsoidSemiMinorError @6 :Float32;
-    ellipsoidOrientationError @7 :Float32;
-  }
-
-  enum SensorSource @0xc871d3cc252af657 {
-    applanix @0;
-    kalman @1;
-    orbslam @2;
-    timing @3;
-    dummy @4;
-  }
-}
-
-struct OrbOdometry @0xd7700859ed1f5b76 {
-  # timing first
-  startMonoTime @0 :UInt64;
-  endMonoTime @1 :UInt64;
-
-  # fundamental matrix and error
-  f @2: List(Float64);
-  err @3: Float64;
-
-  # number of inlier points
-  inliers @4: Int32;
-
-  # for debug only
-  # indexed by endMonoTime features
-  # value is startMonoTime feature match
-  # -1 if no match
-  matches @5: List(Int16);
-}
-
-struct OrbFeatures @0xcd60164a8a0159ef {
-  timestampEof @0 :UInt64;
-  # transposed arrays of normalized image coordinates
-  # len(xs) == len(ys) == len(descriptors) * 32
-  xs @1 :List(Float32);
-  ys @2 :List(Float32);
-  descriptors @3 :Data;
-  octaves @4 :List(Int8);
-
-  # match index to last OrbFeatures
-  # -1 if no match
-  timestampLastEof @5 :UInt64;
-  matches @6: List(Int16);
-}
-
-struct OrbFeaturesSummary @0xd500d30c5803fa4f {
-  timestampEof @0 :UInt64;
-  timestampLastEof @1 :UInt64;
-
-  featureCount @2 :UInt16;
-  matchCount @3 :UInt16;
-  computeNs @4 :UInt64;
-}
-
-struct OrbKeyFrame @0xc8233c0345e27e24 {
-  # this is a globally unique id for the KeyFrame
-  id @0: UInt64;
-
-  # this is the location of the KeyFrame
-  pos @1: ECEFPoint;
-
-  # these are the features in the world
-  # len(dpos) == len(descriptors) * 32
-  dpos @2 :List(ECEFPoint);
-  descriptors @3 :Data;
-}
-
-struct KalmanOdometry @0x92e21bb7ea38793a {
-  trans @0 :List(Float32); # m/s in device frame
-  rot @1 :List(Float32); # rad/s in device frame
-  transStd @2 :List(Float32); # std m/s in device frame
-  rotStd @3 :List(Float32); # std rad/s in device frame
-}
-
-struct OrbObservation @0x9b326d4e436afec7 {
-  observationMonoTime @0 :UInt64;
-  normalizedCoordinates @1 :List(Float32);
-  locationECEF @2 :List(Float64);
-  matchDistance @3: UInt32;
-}
-
-struct CalibrationFeatures @0x8fdfadb254ea867a {
-  frameId @0 :UInt32;
-
-  p0 @1 :List(Float32);
-  p1 @2 :List(Float32);
-  status @3 :List(Int8);
-}
-
-struct NavStatus @0xbd8822120928120c {
-  isNavigating @0 :Bool;
-  currentAddress @1 :Address;
-
-  struct Address @0xce7cd672cacc7814 {
-    title @0 :Text;
-    lat @1 :Float64;
-    lng @2 :Float64;
-    house @3 :Text;
-    address @4 :Text;
-    street @5 :Text;
-    city @6 :Text;
-    state @7 :Text;
-    country @8 :Text;
-  }
-}
-
-struct NavUpdate @0xdb98be6565516acb {
-  isNavigating @0 :Bool;
-  curSegment @1 :Int32;
-  segments @2 :List(Segment);
-
-  struct LatLng @0x9eaef9187cadbb9b {
-    lat @0 :Float64;
-    lng @1 :Float64;
-  }
-
-  struct Segment @0xa5b39b4fc4d7da3f {
-    from @0 :LatLng;
-    to @1 :LatLng;
-    updateTime @2 :Int32;
-    distance @3 :Int32;
-    crossTime @4 :Int32;
-    exitNo @5 :Int32;
-    instruction @6 :Instruction;
-
-    parts @7 :List(LatLng);
-
-    enum Instruction @0xc5417a637451246f {
-      turnLeft @0;
-      turnRight @1;
-      keepLeft @2;
-      keepRight @3;
-      straight @4;
-      roundaboutExitNumber @5;
-      roundaboutExit @6;
-      roundaboutTurnLeft @7;
-      unkn8 @8;
-      roundaboutStraight @9;
-      unkn10 @10;
-      roundaboutTurnRight @11;
-      unkn12 @12;
-      roundaboutUturn @13;
-      unkn14 @14;
-      arrive @15;
-      exitLeft @16;
-      exitRight @17;
-      unkn18 @18;
-      uturn @19;
-      # ...
-    }
-  }
-}
-
-struct TrafficEvent @0xacfa74a094e62626 {
-  type @0 :Type;
-  distance @1 :Float32;
-  action @2 :Action;
-  resuming @3 :Bool;
-
-  enum Type @0xd85d75253435bf4b {
-    stopSign @0;
-    lightRed @1;
-    lightYellow @2;
-    lightGreen @3;
-    stopLight @4;
-  }
-
-  enum Action @0xa6f6ce72165ccb49 {
-    none @0;
-    yield @1;
-    stop @2;
-    resumeReady @3;
-  }
-
-}
-
-
-struct AndroidGnss @0xdfdf30d03fc485bd {
-  union {
-    measurements @0 :Measurements;
-    navigationMessage @1 :NavigationMessage;
-  }
-
-  struct Measurements @0xa20710d4f428d6cd {
-    clock @0 :Clock;
-    measurements @1 :List(Measurement);
-
-    struct Clock @0xa0e27b453a38f450 {
-      timeNanos @0 :Int64;
-      hardwareClockDiscontinuityCount @1 :Int32;
-
-      hasTimeUncertaintyNanos @2 :Bool;
-      timeUncertaintyNanos @3 :Float64;
-
-      hasLeapSecond @4 :Bool;
-      leapSecond @5 :Int32;
-
-      hasFullBiasNanos @6 :Bool;
-      fullBiasNanos @7 :Int64;
-
-      hasBiasNanos @8 :Bool;
-      biasNanos @9 :Float64;
-
-      hasBiasUncertaintyNanos @10 :Bool;
-      biasUncertaintyNanos @11 :Float64;
-
-      hasDriftNanosPerSecond @12 :Bool;
-      driftNanosPerSecond @13 :Float64;
-
-      hasDriftUncertaintyNanosPerSecond @14 :Bool;
-      driftUncertaintyNanosPerSecond @15 :Float64;
-    }
-
-    struct Measurement @0xd949bf717d77614d {
-      svId @0 :Int32;
-      constellation @1 :Constellation;
-
-      timeOffsetNanos @2 :Float64;
-      state @3 :Int32;
-      receivedSvTimeNanos @4 :Int64;
-      receivedSvTimeUncertaintyNanos @5 :Int64;
-      cn0DbHz @6 :Float64;
-      pseudorangeRateMetersPerSecond @7 :Float64;
-      pseudorangeRateUncertaintyMetersPerSecond @8 :Float64;
-      accumulatedDeltaRangeState @9 :Int32;
-      accumulatedDeltaRangeMeters @10 :Float64;
-      accumulatedDeltaRangeUncertaintyMeters @11 :Float64;
-
-      hasCarrierFrequencyHz @12 :Bool;
-      carrierFrequencyHz @13 :Float32;
-      hasCarrierCycles @14 :Bool;
-      carrierCycles @15 :Int64;
-      hasCarrierPhase @16 :Bool;
-      carrierPhase @17 :Float64;
-      hasCarrierPhaseUncertainty @18 :Bool;
-      carrierPhaseUncertainty @19 :Float64;
-      hasSnrInDb @20 :Bool;
-      snrInDb @21 :Float64;
-
-      multipathIndicator @22 :MultipathIndicator;
-
-      enum Constellation @0x9ef1f3ff0deb5ffb {
-        unknown @0;
-        gps @1;
-        sbas @2;
-        glonass @3;
-        qzss @4;
-        beidou @5;
-        galileo @6;
-      }
-
-      enum State @0xcbb9490adce12d72 {
-        unknown @0;
-        codeLock @1;
-        bitSync @2;
-        subframeSync @3;
-        towDecoded @4;
-        msecAmbiguous @5;
-        symbolSync @6;
-        gloStringSync @7;
-        gloTodDecoded @8;
-        bdsD2BitSync @9;
-        bdsD2SubframeSync @10;
-        galE1bcCodeLock @11;
-        galE1c2ndCodeLock @12;
-        galE1bPageSync @13;
-        sbasSync @14;
-      }
-
-      enum MultipathIndicator @0xc04e7b6231d4caa8 {
-        unknown @0;
-        detected @1;
-        notDetected @2;
-      }
-    }
-  }
-
-  struct NavigationMessage @0xe2517b083095fd4e {
-    type @0 :Int32;
-    svId @1 :Int32;
-    messageId @2 :Int32;
-    submessageId @3 :Int32;
-    data @4 :Data;
-    status @5 :Status;
-
-    enum Status @0xec1ff7996b35366f {
-      unknown @0;
-      parityPassed @1;
-      parityRebuilt @2;
-    }
-  }
-}
-
-struct LidarPts @0xe3d6685d4e9d8f7a {
-  r @0 :List(UInt16);        # uint16   m*500.0
-  theta @1 :List(UInt16);    # uint16 deg*100.0
-  reflect @2 :List(UInt8);   # uint8      0-255
-
-  # For storing out of file.
-  idx @3 :UInt64;
-
-  # For storing in file
-  pkt @4 :Data;
-}
-
-
@@ -1,49 +0,0 @@
-using Cxx = import "./include/c++.capnp";
-$Cxx.namespace("cereal");
-
-@0xa086df597ef5d7a0;
-
-# Geometry
-struct Point {
-  x @0: Float64;
-  y @1: Float64;
-  z @2: Float64;
-}
-
-struct PolyLine {
-  points @0: List(Point);
-}
-
-# Map features
-struct Lane {
-  id @0 :Text;
-
-  leftBoundary @1 :LaneBoundary;
-  rightBoundary @2 :LaneBoundary;
-
-  leftAdjacentId @3 :Text;
-  rightAdjacentId @4 :Text;
-
-  inboundIds @5 :List(Text);
-  outboundIds @6 :List(Text);
-
-  struct LaneBoundary {
-    polyLine @0 :PolyLine;
-    startHeading @1 :Float32; # WRT north
-  }
-}
-
-# Map tiles
-struct TileSummary {
-  version @0 :Text;
-  updatedAt @1 :UInt64; # Millis since epoch
-
-  level @2 :UInt8;
-  x @3 :UInt16;
-  y @4 :UInt16;
-}
-
-struct MapTile {
-  summary @0 :TileSummary;
-  lanes @1 :List(Lane);
-}
@@ -1,257 +0,0 @@
-# must be built with scons
-from msgq.ipc_pyx import Context, Poller, SubSocket, PubSocket, SocketEventHandle, toggle_fake_events, \
-                                set_fake_prefix, get_fake_prefix, delete_fake_prefix, wait_for_one_event
-from msgq.ipc_pyx import MultiplePublishersError, IpcError
-from msgq import fake_event_handle, pub_sock, sub_sock, drain_sock_raw
-import msgq
-
-import os
-import capnp
-import time
-
-from typing import Optional, List, Union, Dict, Deque
-from collections import deque
-
-from cereal import log
-from cereal.services import SERVICE_LIST
-
-NO_TRAVERSAL_LIMIT = 2**64-1
-
-
-def reset_context():
-  msgq.context = Context()
-
-
-def log_from_bytes(dat: bytes, struct: capnp.lib.capnp._StructModule = log.Event) -> capnp.lib.capnp._DynamicStructReader:
-  with struct.from_bytes(dat, traversal_limit_in_words=NO_TRAVERSAL_LIMIT) as msg:
-    return msg
-
-
-def new_message(service: Optional[str], size: Optional[int] = None, **kwargs) -> capnp.lib.capnp._DynamicStructBuilder:
-  args = {
-    'valid': False,
-    'logMonoTime': int(time.monotonic() * 1e9),
-    **kwargs
-  }
-  dat = log.Event.new_message(**args)
-  if service is not None:
-    if size is None:
-      dat.init(service)
-    else:
-      dat.init(service, size)
-  return dat
-
-
-def drain_sock(sock: SubSocket, wait_for_one: bool = False) -> List[capnp.lib.capnp._DynamicStructReader]:
-  """Receive all message currently available on the queue"""
-  msgs = drain_sock_raw(sock, wait_for_one=wait_for_one)
-  return [log_from_bytes(m) for m in msgs]
-
-
-# TODO: print when we drop packets?
-def recv_sock(sock: SubSocket, wait: bool = False) -> Optional[capnp.lib.capnp._DynamicStructReader]:
-  """Same as drain sock, but only returns latest message. Consider using conflate instead."""
-  dat = None
-
-  while 1:
-    if wait and dat is None:
-      recv = sock.receive()
-    else:
-      recv = sock.receive(non_blocking=True)
-
-    if recv is None:  # Timeout hit
-      break
-
-    dat = recv
-
-  if dat is not None:
-    dat = log_from_bytes(dat)
-
-  return dat
-
-
-def recv_one(sock: SubSocket) -> Optional[capnp.lib.capnp._DynamicStructReader]:
-  dat = sock.receive()
-  if dat is not None:
-    dat = log_from_bytes(dat)
-  return dat
-
-
-def recv_one_or_none(sock: SubSocket) -> Optional[capnp.lib.capnp._DynamicStructReader]:
-  dat = sock.receive(non_blocking=True)
-  if dat is not None:
-    dat = log_from_bytes(dat)
-  return dat
-
-
-def recv_one_retry(sock: SubSocket) -> capnp.lib.capnp._DynamicStructReader:
-  """Keep receiving until we get a message"""
-  while True:
-    dat = sock.receive()
-    if dat is not None:
-      return log_from_bytes(dat)
-
-
-class SubMaster:
-  def __init__(self, services: List[str], poll: Optional[str] = None,
-               ignore_alive: Optional[List[str]] = None, ignore_avg_freq: Optional[List[str]] = None,
-               ignore_valid: Optional[List[str]] = None, addr: str = "127.0.0.1", frequency: Optional[float] = None):
-    self.frame = -1
-    self.seen = {s: False for s in services}
-    self.updated = {s: False for s in services}
-    self.recv_time = {s: 0. for s in services}
-    self.recv_frame = {s: 0 for s in services}
-    self.alive = {s: False for s in services}
-    self.freq_ok = {s: False for s in services}
-    self.recv_dts: Dict[str, Deque[float]] = {}
-    self.sock = {}
-    self.data = {}
-    self.valid = {}
-    self.logMonoTime = {}
-
-    self.max_freq = {}
-    self.min_freq = {}
-
-    self.poller = Poller()
-    polled_services = set([poll, ] if poll is not None else services)
-    self.non_polled_services = set(services) - polled_services
-
-    self.ignore_average_freq = [] if ignore_avg_freq is None else ignore_avg_freq
-    self.ignore_alive = [] if ignore_alive is None else ignore_alive
-    self.ignore_valid = [] if ignore_valid is None else ignore_valid
-
-    self.simulation = bool(int(os.getenv("SIMULATION", "0")))
-
-    # if freq and poll aren't specified, assume the max to be conservative
-    assert frequency is None or poll is None, "Do not specify 'frequency' - frequency of the polled service will be used."
-    self.update_freq = frequency or max([SERVICE_LIST[s].frequency for s in polled_services])
-
-    for s in services:
-      p = self.poller if s not in self.non_polled_services else None
-      self.sock[s] = sub_sock(s, poller=p, addr=addr, conflate=True)
-
-      try:
-        data = new_message(s)
-      except capnp.lib.capnp.KjException:
-        data = new_message(s, 0) # lists
-
-      self.data[s] = getattr(data.as_reader(), s)
-      self.logMonoTime[s] = 0
-      self.valid[s] = True  # FIXME: this should default to False
-
-      freq = max(min([SERVICE_LIST[s].frequency, self.update_freq]), 1.)
-      if s == poll:
-        max_freq = freq
-        min_freq = freq
-      else:
-        max_freq = min(freq, self.update_freq)
-        if SERVICE_LIST[s].frequency >= 2*self.update_freq:
-          min_freq = self.update_freq
-        elif self.update_freq >= 2*SERVICE_LIST[s].frequency:
-          min_freq = freq
-        else:
-          min_freq = min(freq, freq / 2.)
-      self.max_freq[s] = max_freq*1.2
-      self.min_freq[s] = min_freq*0.8
-      self.recv_dts[s] = deque(maxlen=int(10*freq))
-
-  def __getitem__(self, s: str) -> capnp.lib.capnp._DynamicStructReader:
-    return self.data[s]
-
-  def _check_avg_freq(self, s: str) -> bool:
-    return SERVICE_LIST[s].frequency > 0.99 and (s not in self.ignore_average_freq) and (s not in self.ignore_alive)
-
-  def update(self, timeout: int = 100) -> None:
-    msgs = []
-    for sock in self.poller.poll(timeout):
-      msgs.append(recv_one_or_none(sock))
-
-    # non-blocking receive for non-polled sockets
-    for s in self.non_polled_services:
-      msgs.append(recv_one_or_none(self.sock[s]))
-    self.update_msgs(time.monotonic(), msgs)
-
-  def update_msgs(self, cur_time: float, msgs: List[capnp.lib.capnp._DynamicStructReader]) -> None:
-    self.frame += 1
-    self.updated = dict.fromkeys(self.updated, False)
-    for msg in msgs:
-      if msg is None:
-        continue
-
-      s = msg.which()
-      self.seen[s] = True
-      self.updated[s] = True
-
-      if self.recv_time[s] > 1e-5:
-        self.recv_dts[s].append(cur_time - self.recv_time[s])
-      self.recv_time[s] = cur_time
-      self.recv_frame[s] = self.frame
-      self.data[s] = getattr(msg, s)
-      self.logMonoTime[s] = msg.logMonoTime
-      self.valid[s] = msg.valid
-
-    for s in self.data:
-      if SERVICE_LIST[s].frequency > 1e-5 and not self.simulation:
-        # alive if delay is within 10x the expected frequency
-        self.alive[s] = (cur_time - self.recv_time[s]) < (10. / SERVICE_LIST[s].frequency)
-
-        # check average frequency; slow to fall, quick to recover
-        dts = self.recv_dts[s]
-        assert dts.maxlen is not None
-        recent_dts = list(dts)[-int(dts.maxlen / 10):]
-        try:
-          avg_freq = 1 / (sum(dts) / len(dts))
-          avg_freq_recent = 1 / (sum(recent_dts) / len(recent_dts))
-        except ZeroDivisionError:
-          avg_freq = 0
-          avg_freq_recent = 0
-
-        avg_freq_ok = self.min_freq[s] <= avg_freq <= self.max_freq[s]
-        recent_freq_ok = self.min_freq[s] <= avg_freq_recent <= self.max_freq[s]
-        self.freq_ok[s] = avg_freq_ok or recent_freq_ok
-      else:
-        self.freq_ok[s] = True
-        if self.simulation:
-          self.alive[s] = self.seen[s] # alive is defined as seen when simulation flag set
-        else:
-          self.alive[s] = True
-
-  def all_alive(self, service_list: Optional[List[str]] = None) -> bool:
-    if service_list is None:
-      service_list = list(self.sock.keys())
-    return all(self.alive[s] for s in service_list if s not in self.ignore_alive)
-
-  def all_freq_ok(self, service_list: Optional[List[str]] = None) -> bool:
-    if service_list is None:
-      service_list = list(self.sock.keys())
-    return all(self.freq_ok[s] for s in service_list if self._check_avg_freq(s))
-
-  def all_valid(self, service_list: Optional[List[str]] = None) -> bool:
-    if service_list is None:
-      service_list = list(self.sock.keys())
-    return all(self.valid[s] for s in service_list if s not in self.ignore_valid)
-
-  def all_checks(self, service_list: Optional[List[str]] = None) -> bool:
-    return self.all_alive(service_list) and self.all_freq_ok(service_list) and self.all_valid(service_list)
-
-
-class PubMaster:
-  def __init__(self, services: List[str]):
-    self.sock = {}
-    for s in services:
-      self.sock[s] = pub_sock(s)
-
-  def send(self, s: str, dat: Union[bytes, capnp.lib.capnp._DynamicStructBuilder]) -> None:
-    if not isinstance(dat, bytes):
-      dat = dat.to_bytes()
-    self.sock[s].send(dat)
-
-  def wait_for_readers_to_update(self, s: str, timeout: int, dt: float = 0.05) -> bool:
-    for _ in range(int(timeout*(1./dt))):
-      if self.sock[s].all_readers_updated():
-        return True
-      time.sleep(dt)
-    return False
-
-  def all_readers_updated(self, s: str) -> bool:
-    return self.sock[s].all_readers_updated()  # type: ignore
@@ -1,102 +0,0 @@
-#pragma once
-
-#include <cstddef>
-#include <map>
-#include <string>
-#include <vector>
-#include <utility>
-
-#include <capnp/serialize.h>
-
-#include "cereal/gen/cpp/log.capnp.h"
-#include "common/timing.h"
-#include "msgq/ipc.h"
-
-class SubMaster {
-public:
-  SubMaster(const std::vector<const char *> &service_list, const std::vector<const char *> &poll = {},
-            const char *address = nullptr, const std::vector<const char *> &ignore_alive = {});
-  void update(int timeout = 1000);
-  void update_msgs(uint64_t current_time, const std::vector<std::pair<std::string, cereal::Event::Reader>> &messages);
-  inline bool allAlive(const std::vector<const char *> &service_list = {}) { return all_(service_list, false, true); }
-  inline bool allValid(const std::vector<const char *> &service_list = {}) { return all_(service_list, true, false); }
-  inline bool allAliveAndValid(const std::vector<const char *> &service_list = {}) { return all_(service_list, true, true); }
-  void drain();
-  ~SubMaster();
-
-  uint64_t frame = 0;
-  bool updated(const char *name) const;
-  bool alive(const char *name) const;
-  bool valid(const char *name) const;
-  uint64_t rcv_frame(const char *name) const;
-  uint64_t rcv_time(const char *name) const;
-  cereal::Event::Reader &operator[](const char *name) const;
-
-private:
-  bool all_(const std::vector<const char *> &service_list, bool valid, bool alive);
-  Poller *poller_ = nullptr;
-  struct SubMessage;
-  std::map<SubSocket *, SubMessage *> messages_;
-  std::map<std::string, SubMessage *> services_;
-};
-
-class MessageBuilder : public capnp::MallocMessageBuilder {
-public:
-  MessageBuilder() = default;
-
-  cereal::Event::Builder initEvent(bool valid = true) {
-    cereal::Event::Builder event = initRoot<cereal::Event>();
-    event.setLogMonoTime(nanos_since_boot());
-    event.setValid(valid);
-    return event;
-  }
-
-  kj::ArrayPtr<capnp::byte> toBytes() {
-    heapArray_ = capnp::messageToFlatArray(*this);
-    return heapArray_.asBytes();
-  }
-
-  size_t getSerializedSize() {
-    return capnp::computeSerializedSizeInWords(*this) * sizeof(capnp::word);
-  }
-
-  int serializeToBuffer(unsigned char *buffer, size_t buffer_size) {
-    size_t serialized_size = getSerializedSize();
-    if (serialized_size > buffer_size) { return -1; }
-    kj::ArrayOutputStream out(kj::ArrayPtr<capnp::byte>(buffer, buffer_size));
-    capnp::writeMessage(out, *this);
-    return serialized_size;
-  }
-
-private:
-  kj::Array<capnp::word> heapArray_;
-};
-
-class PubMaster {
-public:
-  PubMaster(const std::vector<const char *> &service_list);
-  inline int send(const char *name, capnp::byte *data, size_t size) { return sockets_.at(name)->send((char *)data, size); }
-  int send(const char *name, MessageBuilder &msg);
-  ~PubMaster();
-
-private:
-  std::map<std::string, PubSocket *> sockets_;
-};
-
-class AlignedBuffer {
-public:
-  kj::ArrayPtr<const capnp::word> align(const char *data, const size_t size) {
-    words_size = size / sizeof(capnp::word) + 1;
-    if (aligned_buf.size() < words_size) {
-      aligned_buf = kj::heapArray<capnp::word>(words_size < 512 ? 512 : words_size);
-    }
-    memcpy(aligned_buf.begin(), data, size);
-    return aligned_buf.slice(0, words_size);
-  }
-  inline kj::ArrayPtr<const capnp::word> align(Message *m) {
-    return align(m->getData(), m->getSize());
-  }
-private:
-  kj::Array<capnp::word> aligned_buf;
-  size_t words_size;
-};
@@ -1,88 +0,0 @@
-/* THIS IS AN AUTOGENERATED FILE, PLEASE EDIT services.py */
-#ifndef __SERVICES_H
-#define __SERVICES_H
-#include <map>
-#include <string>
-struct service { std::string name; bool should_log; int frequency; int decimation; };
-static std::map<std::string, service> services = {
-  { "gyroscope", {"gyroscope", true, 104, 104}},
-  { "gyroscope2", {"gyroscope2", true, 100, 100}},
-  { "accelerometer", {"accelerometer", true, 104, 104}},
-  { "accelerometer2", {"accelerometer2", true, 100, 100}},
-  { "magnetometer", {"magnetometer", true, 25, -1}},
-  { "lightSensor", {"lightSensor", true, 100, 100}},
-  { "temperatureSensor", {"temperatureSensor", true, 2, 200}},
-  { "temperatureSensor2", {"temperatureSensor2", true, 2, 200}},
-  { "gpsNMEA", {"gpsNMEA", true, 9, -1}},
-  { "deviceState", {"deviceState", true, 2, 1}},
-  { "can", {"can", true, 100, 2053}},
-  { "controlsState", {"controlsState", true, 100, 10}},
-  { "pandaStates", {"pandaStates", true, 10, 1}},
-  { "peripheralState", {"peripheralState", true, 2, 1}},
-  { "radarState", {"radarState", true, 20, 5}},
-  { "roadEncodeIdx", {"roadEncodeIdx", false, 20, 1}},
-  { "liveTracks", {"liveTracks", true, 20, -1}},
-  { "sendcan", {"sendcan", true, 100, 139}},
-  { "logMessage", {"logMessage", true, 0, -1}},
-  { "errorLogMessage", {"errorLogMessage", true, 0, 1}},
-  { "liveCalibration", {"liveCalibration", true, 4, 4}},
-  { "liveTorqueParameters", {"liveTorqueParameters", true, 4, 1}},
-  { "androidLog", {"androidLog", true, 0, -1}},
-  { "carState", {"carState", true, 100, 10}},
-  { "carControl", {"carControl", true, 100, 10}},
-  { "carOutput", {"carOutput", true, 100, 10}},
-  { "longitudinalPlan", {"longitudinalPlan", true, 20, 10}},
-  { "procLog", {"procLog", true, 0, 15}},
-  { "gpsLocationExternal", {"gpsLocationExternal", true, 10, 10}},
-  { "gpsLocation", {"gpsLocation", true, 1, 1}},
-  { "ubloxGnss", {"ubloxGnss", true, 10, -1}},
-  { "qcomGnss", {"qcomGnss", true, 2, -1}},
-  { "gnssMeasurements", {"gnssMeasurements", true, 10, 10}},
-  { "clocks", {"clocks", true, 0, 1}},
-  { "ubloxRaw", {"ubloxRaw", true, 20, -1}},
-  { "livePose", {"livePose", true, 20, 4}},
-  { "liveLocationKalman", {"liveLocationKalman", true, 20, -1}},
-  { "liveParameters", {"liveParameters", true, 20, 5}},
-  { "cameraOdometry", {"cameraOdometry", true, 20, 10}},
-  { "thumbnail", {"thumbnail", true, 0, 1}},
-  { "onroadEvents", {"onroadEvents", true, 1, 1}},
-  { "carParams", {"carParams", true, 0, 1}},
-  { "roadCameraState", {"roadCameraState", true, 20, 20}},
-  { "driverCameraState", {"driverCameraState", true, 20, 20}},
-  { "driverEncodeIdx", {"driverEncodeIdx", false, 20, 1}},
-  { "driverStateV2", {"driverStateV2", true, 20, 10}},
-  { "driverMonitoringState", {"driverMonitoringState", true, 20, 10}},
-  { "wideRoadEncodeIdx", {"wideRoadEncodeIdx", false, 20, 1}},
-  { "wideRoadCameraState", {"wideRoadCameraState", true, 20, 20}},
-  { "drivingModelData", {"drivingModelData", true, 20, 10}},
-  { "modelV2", {"modelV2", true, 20, -1}},
-  { "managerState", {"managerState", true, 2, 1}},
-  { "uploaderState", {"uploaderState", true, 0, 1}},
-  { "navInstruction", {"navInstruction", true, 1, 10}},
-  { "navRoute", {"navRoute", true, 0, -1}},
-  { "navThumbnail", {"navThumbnail", true, 0, -1}},
-  { "qRoadEncodeIdx", {"qRoadEncodeIdx", false, 20, -1}},
-  { "userFlag", {"userFlag", true, 0, 1}},
-  { "microphone", {"microphone", true, 10, 10}},
-  { "uiDebug", {"uiDebug", true, 0, 1}},
-  { "testJoystick", {"testJoystick", true, 0, -1}},
-  { "roadEncodeData", {"roadEncodeData", false, 20, -1}},
-  { "driverEncodeData", {"driverEncodeData", false, 20, -1}},
-  { "wideRoadEncodeData", {"wideRoadEncodeData", false, 20, -1}},
-  { "qRoadEncodeData", {"qRoadEncodeData", false, 20, -1}},
-  { "livestreamWideRoadEncodeIdx", {"livestreamWideRoadEncodeIdx", false, 20, -1}},
-  { "livestreamRoadEncodeIdx", {"livestreamRoadEncodeIdx", false, 20, -1}},
-  { "livestreamDriverEncodeIdx", {"livestreamDriverEncodeIdx", false, 20, -1}},
-  { "livestreamWideRoadEncodeData", {"livestreamWideRoadEncodeData", false, 20, -1}},
-  { "livestreamRoadEncodeData", {"livestreamRoadEncodeData", false, 20, -1}},
-  { "livestreamDriverEncodeData", {"livestreamDriverEncodeData", false, 20, -1}},
-  { "customReservedRawData0", {"customReservedRawData0", true, 0, -1}},
-  { "customReservedRawData1", {"customReservedRawData1", true, 0, -1}},
-  { "customReservedRawData2", {"customReservedRawData2", true, 0, -1}},
-  { "controlsStateExt", {"controlsStateExt", false, 100, 10}},
-  { "longitudinalPlanExt", {"longitudinalPlanExt", false, 20, 5}},
-  { "teToo", {"teToo", false, 5, -1}},
-  { "lateralPlan", {"lateralPlan", false, 20, 5}},
-};
-#endif
-
@@ -1,125 +0,0 @@
-#!/usr/bin/env python3
-from typing import Optional
-
-
-class Service:
-  def __init__(self, should_log: bool, frequency: float, decimation: Optional[int] = None):
-    self.should_log = should_log
-    self.frequency = frequency
-    self.decimation = decimation
-
-
-_services: dict[str, tuple] = {
-  # service: (should_log, frequency, qlog decimation (optional))
-  # note: the "EncodeIdx" packets will still be in the log
-  "gyroscope": (True, 104., 104),
-  "gyroscope2": (True, 100., 100),
-  "accelerometer": (True, 104., 104),
-  "accelerometer2": (True, 100., 100),
-  "magnetometer": (True, 25.),
-  "lightSensor": (True, 100., 100),
-  "temperatureSensor": (True, 2., 200),
-  "temperatureSensor2": (True, 2., 200),
-  "gpsNMEA": (True, 9.),
-  "deviceState": (True, 2., 1),
-  "can": (True, 100., 2053),  # decimation gives ~3 msgs in a full segment
-  "controlsState": (True, 100., 10),
-  "pandaStates": (True, 10., 1),
-  "peripheralState": (True, 2., 1),
-  "radarState": (True, 20., 5),
-  "roadEncodeIdx": (False, 20., 1),
-  "liveTracks": (True, 20.),
-  "sendcan": (True, 100., 139),
-  "logMessage": (True, 0.),
-  "errorLogMessage": (True, 0., 1),
-  "liveCalibration": (True, 4., 4),
-  "liveTorqueParameters": (True, 4., 1),
-  "androidLog": (True, 0.),
-  "carState": (True, 100., 10),
-  "carControl": (True, 100., 10),
-  "carOutput": (True, 100., 10),
-  "longitudinalPlan": (True, 20., 10),
-  "procLog": (True, 0.5, 15),
-  "gpsLocationExternal": (True, 10., 10),
-  "gpsLocation": (True, 1., 1),
-  "ubloxGnss": (True, 10.),
-  "qcomGnss": (True, 2.),
-  "gnssMeasurements": (True, 10., 10),
-  "clocks": (True, 0.1, 1),
-  "ubloxRaw": (True, 20.),
-  "livePose": (True, 20., 4),
-  "liveLocationKalman": (True, 20.),
-  "liveParameters": (True, 20., 5),
-  "cameraOdometry": (True, 20., 10),
-  "thumbnail": (True, 0.2, 1),
-  "onroadEvents": (True, 1., 1),
-  "carParams": (True, 0.02, 1),
-  "roadCameraState": (True, 20., 20),
-  "driverCameraState": (True, 20., 20),
-  "driverEncodeIdx": (False, 20., 1),
-  "driverStateV2": (True, 20., 10),
-  "driverMonitoringState": (True, 20., 10),
-  "wideRoadEncodeIdx": (False, 20., 1),
-  "wideRoadCameraState": (True, 20., 20),
-  "drivingModelData": (True, 20., 10),
-  "modelV2": (True, 20.),
-  "managerState": (True, 2., 1),
-  "uploaderState": (True, 0., 1),
-  "navInstruction": (True, 1., 10),
-  "navRoute": (True, 0.),
-  "navThumbnail": (True, 0.),
-  "qRoadEncodeIdx": (False, 20.),
-  "userFlag": (True, 0., 1),
-  "microphone": (True, 10., 10),
-
-  # debug
-  "uiDebug": (True, 0., 1),
-  "testJoystick": (True, 0.),
-  "roadEncodeData": (False, 20.),
-  "driverEncodeData": (False, 20.),
-  "wideRoadEncodeData": (False, 20.),
-  "qRoadEncodeData": (False, 20.),
-  "livestreamWideRoadEncodeIdx": (False, 20.),
-  "livestreamRoadEncodeIdx": (False, 20.),
-  "livestreamDriverEncodeIdx": (False, 20.),
-  "livestreamWideRoadEncodeData": (False, 20.),
-  "livestreamRoadEncodeData": (False, 20.),
-  "livestreamDriverEncodeData": (False, 20.),
-  "customReservedRawData0": (True, 0.),
-  "customReservedRawData1": (True, 0.),
-  "customReservedRawData2": (True, 0.),
-
-  # dp
-  "controlsStateExt": (False, 100., 10),
-  "longitudinalPlanExt": (False, 20., 5),
-  "teToo": (False, 5),
-  "lateralPlan": (False, 20., 5),
-}
-SERVICE_LIST = {name: Service(*vals) for
-                idx, (name, vals) in enumerate(_services.items())}
-
-
-def build_header():
-  h = ""
-  h += "/* THIS IS AN AUTOGENERATED FILE, PLEASE EDIT services.py */\n"
-  h += "#ifndef __SERVICES_H\n"
-  h += "#define __SERVICES_H\n"
-
-  h += "#include <map>\n"
-  h += "#include <string>\n"
-
-  h += "struct service { std::string name; bool should_log; int frequency; int decimation; };\n"
-  h += "static std::map<std::string, service> services = {\n"
-  for k, v in SERVICE_LIST.items():
-    should_log = "true" if v.should_log else "false"
-    decimation = -1 if v.decimation is None else v.decimation
-    h += '  { "%s", {"%s", %s, %d, %d}},\n' % \
-         (k, k, should_log, v.frequency, decimation)
-  h += "};\n"
-
-  h += "#endif\n"
-  return h
-
-
-if __name__ == "__main__":
-  print(build_header())
@@ -1,13 +0,0 @@
-comment: false
-coverage:
-  status:
-    project:
-      default:
-        informational: true
-    patch: off
-
-ignore:
-  - "**/test_*.py"
-  - "selfdrive/test/**"
-  - "system/version.py" # codecov changes depending on if we are in a branch or not
-  - "tools"
@@ -1 +0,0 @@
-*.cpp
@@ -1,46 +1,15 @@
-import jwt
-import os
 import requests
-from datetime import datetime, timedelta, UTC
-from openpilot.system.hardware.hw import Paths
-from openpilot.system.version import get_version
-
-API_HOST = os.getenv('API_HOST', 'https://api.commadotai.com')
-
-class Api:
-  def __init__(self, dongle_id):
-    self.dongle_id = dongle_id
-    with open(Paths.persist_root()+'/comma/id_rsa') as f:
-      self.private_key = f.read()
-
-  def get(self, *args, **kwargs):
-    return self.request('GET', *args, **kwargs)
-
-  def post(self, *args, **kwargs):
-    return self.request('POST', *args, **kwargs)
-
-  def request(self, method, endpoint, timeout=None, access_token=None, **params):
-    return api_get(endpoint, method=method, timeout=timeout, access_token=access_token, **params)
-
-  def get_token(self, expiry_hours=1):
-    now = datetime.now(UTC).replace(tzinfo=None)
-    payload = {
-      'identity': self.dongle_id,
-      'nbf': now,
-      'iat': now,
-      'exp': now + timedelta(hours=expiry_hours)
-    }
-    token = jwt.encode(payload, self.private_key, algorithm='RS256')
-    if isinstance(token, bytes):
-      token = token.decode('utf8')
-    return token

+from selfdrive.version import version

 def api_get(endpoint, method='GET', timeout=None, access_token=None, **params):
+  backend = "https://api.commadotai.com/"
+
  headers = {}
  if access_token is not None:
-    headers['Authorization'] = "JWT " + access_token
+    headers['Authorization'] = "JWT "+access_token

-  headers['User-Agent'] = "openpilot-" + get_version()
+  headers['User-Agent'] = "openpilot-" + version
+
+  return requests.request(method, backend+endpoint, timeout=timeout, headers = headers, params=params)

-  return requests.request(method, API_HOST + "/" + endpoint, timeout=timeout, headers=headers, params=params)
@@ -1,4 +1,4 @@
 import os
-
-
 BASEDIR = os.path.abspath(os.path.join(os.path.dirname(os.path.realpath(__file__)), "../"))
+
+
@@ -1,29 +0,0 @@
-#pragma once
-
-#ifdef __APPLE__
-#include <OpenCL/cl.h>
-#else
-#include <CL/cl.h>
-#endif
-
-#include <string>
-
-#define CL_CHECK(_expr)          \
-  do {                           \
-    assert(CL_SUCCESS == (_expr)); \
-  } while (0)
-
-#define CL_CHECK_ERR(_expr)           \
-  ({                                  \
-    cl_int err = CL_INVALID_VALUE;    \
-    __typeof__(_expr) _ret = _expr;   \
-    assert(_ret&& err == CL_SUCCESS); \
-    _ret;                             \
-  })
-
-cl_device_id cl_get_device_id(cl_device_type device_type);
-cl_context cl_create_context(cl_device_id device_id);
-cl_program cl_program_from_source(cl_context ctx, cl_device_id device_id, const std::string& src, const char* args = nullptr);
-cl_program cl_program_from_binary(cl_context ctx, cl_device_id device_id, const uint8_t* binary, size_t length, const char* args = nullptr);
-cl_program cl_program_from_file(cl_context ctx, cl_device_id device_id, const char* path, const char* args);
-const char* cl_get_error_string(int err);
@@ -1,19 +0,0 @@
-import numpy as np
-
-class Conversions:
-  # Speed
-  MPH_TO_KPH = 1.609344
-  KPH_TO_MPH = 1. / MPH_TO_KPH
-  MS_TO_KPH = 3.6
-  KPH_TO_MS = 1. / MS_TO_KPH
-  MS_TO_MPH = MS_TO_KPH * KPH_TO_MPH
-  MPH_TO_MS = MPH_TO_KPH * KPH_TO_MS
-  MS_TO_KNOTS = 1.9438
-  KNOTS_TO_MS = 1. / MS_TO_KNOTS
-
-  # Angle
-  DEG_TO_RAD = np.pi / 180.
-  RAD_TO_DEG = 1. / DEG_TO_RAD
-
-  # Mass
-  LB_TO_KG = 0.453592
@@ -0,0 +1,249 @@
+import re
+import os
+import struct
+import bitstring
+import sys
+import numbers
+from collections import namedtuple, defaultdict
+
+def int_or_float(s):
+  # return number, trying to maintain int format
+  try:
+    return int(s)
+  except ValueError:
+    return float(s)
+
+DBCSignal = namedtuple(
+  "DBCSignal", ["name", "start_bit", "size", "is_little_endian", "is_signed",
+                "factor", "offset", "tmin", "tmax", "units"])
+
+class dbc(object):
+  def __init__(self, fn):
+    self.name, _ = os.path.splitext(os.path.basename(fn))
+    with open(fn) as f:
+      self.txt = f.read().split("\n")
+    self._warned_addresses = set()
+
+    # regexps from https://github.com/ebroecker/canmatrix/blob/master/canmatrix/importdbc.py
+    bo_regexp = re.compile(r"^BO\_ (\w+) (\w+) *: (\w+) (\w+)")
+    sg_regexp = re.compile(r"^SG\_ (\w+) : (\d+)\|(\d+)@(\d+)([\+|\-]) \(([0-9.+\-eE]+),([0-9.+\-eE]+)\) \[([0-9.+\-eE]+)\|([0-9.+\-eE]+)\] \"(.*)\" (.*)")
+    sgm_regexp = re.compile(r"^SG\_ (\w+) (\w+) *: (\d+)\|(\d+)@(\d+)([\+|\-]) \(([0-9.+\-eE]+),([0-9.+\-eE]+)\) \[([0-9.+\-eE]+)\|([0-9.+\-eE]+)\] \"(.*)\" (.*)")
+    val_regexp = re.compile(r"VAL\_ (\w+) (\w+) (\s*[-+]?[0-9]+\s+\".+?\"[^;]*)")
+
+    # A dictionary which maps message ids to tuples ((name, size), signals).
+    #   name is the ASCII name of the message.
+    #   size is the size of the message in bytes.
+    #   signals is a list signals contained in the message.
+    # signals is a list of DBCSignal in order of increasing start_bit.
+    self.msgs = {}
+
+    # A dictionary which maps message ids to a list of tuples (signal name, definition value pairs)
+    self.def_vals = defaultdict(list)
+
+    # lookup to bit reverse each byte
+    self.bits_index = [(i & ~0b111) + ((-i-1) & 0b111) for i in xrange(64)]
+
+    for l in self.txt:
+      l = l.strip()
+
+      if l.startswith("BO_ "):
+        # new group
+        dat = bo_regexp.match(l)
+
+        if dat is None:
+          print "bad BO", l
+        name = dat.group(2)
+        size = int(dat.group(3))
+        ids = int(dat.group(1), 0) # could be hex
+        if ids in self.msgs:
+          sys.exit("Duplicate address detected %d %s" % (ids, self.name))
+
+        self.msgs[ids] = ((name, size), [])
+
+      if l.startswith("SG_ "):
+        # new signal
+        dat = sg_regexp.match(l)
+        go = 0
+        if dat is None:
+          dat = sgm_regexp.match(l)
+          go = 1
+        if dat is None:
+          print "bad SG", l
+
+        sgname = dat.group(1)
+        start_bit = int(dat.group(go+2))
+        signal_size = int(dat.group(go+3))
+        is_little_endian = int(dat.group(go+4))==1
+        is_signed = dat.group(go+5)=='-'
+        factor = int_or_float(dat.group(go+6))
+        offset = int_or_float(dat.group(go+7))
+        tmin = int_or_float(dat.group(go+8))
+        tmax = int_or_float(dat.group(go+9))
+        units = dat.group(go+10)
+
+        self.msgs[ids][1].append(
+          DBCSignal(sgname, start_bit, signal_size, is_little_endian,
+                    is_signed, factor, offset, tmin, tmax, units))
+
+      if l.startswith("VAL_ "):
+        # new signal value/definition
+        dat = val_regexp.match(l)
+
+        if dat is None:
+          print "bad VAL", l
+        ids = int(dat.group(1), 0) # could be hex
+        sgname = dat.group(2)
+        defvals = dat.group(3)
+
+        defvals = defvals.replace("?","\?") #escape sequence in C++
+        defvals = defvals.split('"')[:-1]
+
+        defs = defvals[1::2]
+        #cleanup, convert to UPPER_CASE_WITH_UNDERSCORES
+        for i,d in enumerate(defs):
+          d = defs[i].strip().upper()
+          defs[i] = d.replace(" ","_")
+
+        defvals[1::2] = defs
+        defvals = '"'+"".join(str(i) for i in defvals)+'"'
+
+        self.def_vals[ids].append((sgname, defvals))
+
+    for msg in self.msgs.viewvalues():
+      msg[1].sort(key=lambda x: x.start_bit)
+
+    self.msg_name_to_address = {}
+    for address, m in self.msgs.items():
+      name = m[0][0]
+      self.msg_name_to_address[name] = address
+
+  def lookup_msg_id(self, msg_id):
+    if not isinstance(msg_id, numbers.Number):
+      msg_id = self.msg_name_to_address[msg_id]
+    return msg_id
+
+  def encode(self, msg_id, dd):
+    """Encode a CAN message using the dbc.
+
+       Inputs:
+        msg_id: The message ID.
+        dd: A dictionary mapping signal name to signal data.
+    """
+    msg_id = self.lookup_msg_id(msg_id)
+
+    # TODO: Stop using bitstring, which is super slow.
+    msg_def = self.msgs[msg_id]
+    size = msg_def[0][1]
+
+    bsf = bitstring.Bits(hex="00"*size)
+    for s in msg_def[1]:
+      ival = dd.get(s.name)
+      if ival is not None:
+        ival = (ival / s.factor) - s.offset
+        ival = int(round(ival))
+
+        # should pack this
+        if s.is_little_endian:
+          ss = s.start_bit
+        else:
+          ss = self.bits_index[s.start_bit]
+
+
+        if s.is_signed:
+          tbs = bitstring.Bits(int=ival, length=s.size)
+        else:
+          tbs = bitstring.Bits(uint=ival, length=s.size)
+
+        lpad = bitstring.Bits(bin="0b"+"0"*ss)
+        rpad = bitstring.Bits(bin="0b"+"0"*(8*size-(ss+s.size)))
+        tbs = lpad+tbs+rpad
+
+        bsf |= tbs
+    return bsf.tobytes()
+
+  def decode(self, x, arr=None, debug=False):
+    """Decode a CAN message using the dbc.
+
+       Inputs:
+        x: A collection with elements (address, time, data), where address is
+           the CAN address, time is the bus time, and data is the CAN data as a
+           hex string.
+        arr: Optional list of signals which should be decoded and returned.
+        debug: True to print debugging statements.
+
+       Returns:
+        A tuple (name, data), where name is the name of the CAN message and data
+        is the decoded result. If arr is None, data is a dict of properties.
+        Otherwise data is a list of the same length as arr.
+
+        Returns (None, None) if the message could not be decoded.
+    """
+
+    if arr is None:
+      out = {}
+    else:
+      out = [None]*len(arr)
+
+    msg = self.msgs.get(x[0])
+    if msg is None:
+      if x[0] not in self._warned_addresses:
+        #print("WARNING: Unknown message address {}".format(x[0]))
+        self._warned_addresses.add(x[0])
+      return None, None
+
+    name = msg[0][0]
+    if debug:
+      print name
+
+    blen = 8*len(x[2])
+
+    st = x[2].rjust(8, '\x00')
+    le, be = None, None
+    size = msg[0][1]
+
+    for s in msg[1]:
+      if arr is not None and s[0] not in arr:
+        continue
+
+      # big or little endian?
+      #   see http://vi-firmware.openxcplatform.com/en/master/config/bit-numbering.html
+      if s[3] is False:
+        ss = self.bits_index[s[1]]
+        if be is None:
+          be = struct.unpack(">Q", st)[0]
+        x2_int = be
+        data_bit_pos = (blen - (ss + s[2]))
+      else:
+        if le is None:
+          le = struct.unpack("<Q", st)[0]
+        x2_int = le >> (64 - 8 * size)
+        ss = s[1]
+        data_bit_pos = ss
+
+      if data_bit_pos < 0:
+        continue
+      ival = (x2_int >> data_bit_pos) & ((1 << (s[2])) - 1)
+
+      if s[4] and (ival & (1<<(s[2]-1))): # signed
+        ival -= (1<<s[2])
+
+      # control the offset
+      ival = (ival * s[5]) + s[6]
+      #if debug:
+      #  print "%40s  %2d %2d  %7.2f %s" % (s[0], s[1], s[2], ival, s[-1])
+
+      if arr is None:
+        out[s[0]] = ival
+      else:
+        out[arr.index(s[0])] = ival
+    return name, out
+
+  def get_signals(self, msg):
+    msg = self.lookup_msg_id(msg)
+    return [sgs.name for sgs in self.msgs[msg][1]]
+
+if __name__ == "__main__":
+   from opendbc import DBC_PATH
+
+   dbc_test = dbc(os.path.join(DBC_PATH, sys.argv[1]))
+   print dbc_test.get_signals(0xe4)
@@ -1,9 +0,0 @@
-# remove all keys that end in DEPRECATED
-def strip_deprecated_keys(d):
-  for k in list(d.keys()):
-    if isinstance(k, str):
-      if k.endswith('DEPRECATED'):
-        d.pop(k)
-      elif isinstance(d[k], dict):
-        strip_deprecated_keys(d[k])
-  return d
@@ -1,8 +1,42 @@
-import platform
+import os
+import sys
+import fcntl
+import hashlib
+from cffi import FFI

+TMPDIR = "/tmp/ccache"

-def suffix():
-  if platform.system() == "Darwin":
-    return ".dylib"
-  else:
-    return ".so"
+def ffi_wrap(name, c_code, c_header, tmpdir=TMPDIR):
+  cache = name + "_" + hashlib.sha1(c_code).hexdigest()
+  try:
+    os.mkdir(tmpdir)
+  except OSError:
+    pass
+
+  fd = os.open(tmpdir, 0)
+  fcntl.flock(fd, fcntl.LOCK_EX)
+  try:
+    sys.path.append(tmpdir)
+    try:
+      mod = __import__(cache)
+    except Exception:
+      print "cache miss", cache
+      compile_code(cache, c_code, c_header, tmpdir)
+      mod = __import__(cache)
+  finally:
+    os.close(fd)
+
+  return mod.ffi, mod.lib
+
+def compile_code(name, c_code, c_header, directory):
+  ffibuilder = FFI()
+  ffibuilder.set_source(name, c_code, source_extension='.cpp')
+  ffibuilder.cdef(c_header)
+  os.environ['OPT'] = "-fwrapv -O2 -DNDEBUG -std=c++11"
+  os.environ['CFLAGS'] = ""
+  ffibuilder.compile(verbose=True, debug=False, tmpdir=directory)
+
+def wrap_compiled(name, directory):
+  sys.path.append(directory)
+  mod = __import__(name)
+  return mod.ffi, mod.lib
@@ -1,37 +0,0 @@
-import os
-import tempfile
-import contextlib
-
-
-class CallbackReader:
-  """Wraps a file, but overrides the read method to also
-  call a callback function with the number of bytes read so far."""
-  def __init__(self, f, callback, *args):
-    self.f = f
-    self.callback = callback
-    self.cb_args = args
-    self.total_read = 0
-
-  def __getattr__(self, attr):
-    return getattr(self.f, attr)
-
-  def read(self, *args, **kwargs):
-    chunk = self.f.read(*args, **kwargs)
-    self.total_read += len(chunk)
-    self.callback(*self.cb_args, self.total_read)
-    return chunk
-
-
-@contextlib.contextmanager
-def atomic_write_in_dir(path: str, mode: str = 'w', buffering: int = -1, encoding: str = None, newline: str = None,
-                        overwrite: bool = False):
-  """Write to a file atomically using a temporary file in the same directory as the destination file."""
-  dir_name = os.path.dirname(path)
-
-  if not overwrite and os.path.exists(path):
-    raise FileExistsError(f"File '{path}' already exists. To overwrite it, set 'overwrite' to True.")
-
-  with tempfile.NamedTemporaryFile(mode=mode, buffering=buffering, encoding=encoding, newline=newline, dir=dir_name, delete=False) as tmp_file:
-    yield tmp_file
-    tmp_file_name = tmp_file.name
-  os.replace(tmp_file_name, path)
@@ -1,18 +0,0 @@
-class FirstOrderFilter:
-  # first order filter
-  def __init__(self, x0, rc, dt, initialized=True):
-    self.x = x0
-    self.dt = dt
-    self.update_alpha(rc)
-    self.initialized = initialized
-
-  def update_alpha(self, rc):
-    self.alpha = self.dt / (rc + self.dt)
-
-  def update(self, x):
-    if self.initialized:
-      self.x = (1. - self.alpha) * self.x + self.alpha * x
-    else:
-      self.initialized = True
-      self.x = x
-    return self.x
@@ -0,0 +1,64 @@
+import os
+from common.basedir import BASEDIR
+
+def get_fingerprint_list():
+  # read all the folders in selfdrive/car and return a dict where:
+  # - keys are all the car models for which we have a fingerprint
+  # - values are lists dicts of messages that constitute the unique 
+  #   CAN fingerprint of each car model and all its variants
+  fingerprints = {}
+  for car_folder in [x[0] for x in os.walk(BASEDIR + '/selfdrive/car')]:
+    try:
+      car_name = car_folder.split('/')[-1]
+      values = __import__('selfdrive.car.%s.values' % car_name, fromlist=['FINGERPRINTS'])
+      if hasattr(values, 'FINGERPRINTS'):
+        car_fingerprints = values.FINGERPRINTS
+      else:
+        continue
+      for f, v in car_fingerprints.items():
+        fingerprints[f] = v
+    except (ImportError, IOError):
+      pass
+  return fingerprints
+
+
+_FINGERPRINTS = get_fingerprint_list()
+
+_DEBUG_ADDRESS = {1880: 8}   # reserved for debug purposes
+
+def is_valid_for_fingerprint(msg, car_fingerprint):
+  adr = msg.address
+  bus = msg.src
+  # ignore addresses that are more than 11 bits
+  return (adr in car_fingerprint and car_fingerprint[adr] == len(msg.dat)) or \
+         bus != 0 or adr >= 0x800
+
+
+def eliminate_incompatible_cars(msg, candidate_cars):
+  """Removes cars that could not have sent msg.
+
+     Inputs:
+      msg: A cereal/log CanData message from the car.
+      candidate_cars: A list of cars to consider.
+
+     Returns:
+      A list containing the subset of candidate_cars that could have sent msg.
+  """
+  compatible_cars = []
+
+  for car_name in candidate_cars:
+    car_fingerprints = _FINGERPRINTS[car_name]
+
+    for fingerprint in car_fingerprints:
+      fingerprint.update(_DEBUG_ADDRESS)  # add alien debug address
+
+      if is_valid_for_fingerprint(msg, fingerprint):
+        compatible_cars.append(car_name)
+        break
+
+  return compatible_cars
+
+
+def all_known_cars():
+  """Returns a list of all known car strings."""
+  return _FINGERPRINTS.keys()
@@ -1,42 +0,0 @@
-from functools import cache
-import subprocess
-from openpilot.common.run import run_cmd, run_cmd_default
-
-
-@cache
-def get_commit(cwd: str = None, branch: str = "HEAD") -> str:
-  return run_cmd_default(["git", "rev-parse", branch], cwd=cwd)
-
-
-@cache
-def get_commit_date(cwd: str = None, commit: str = "HEAD") -> str:
-  return run_cmd_default(["git", "show", "--no-patch", "--format='%ct %ci'", commit], cwd=cwd)
-
-
-@cache
-def get_short_branch(cwd: str = None) -> str:
-  return run_cmd_default(["git", "rev-parse", "--abbrev-ref", "HEAD"], cwd=cwd)
-
-
-@cache
-def get_branch(cwd: str = None) -> str:
-  return run_cmd_default(["git", "rev-parse", "--abbrev-ref", "--symbolic-full-name", "@{u}"], cwd=cwd)
-
-
-@cache
-def get_origin(cwd: str = None) -> str:
-  try:
-    local_branch = run_cmd(["git", "name-rev", "--name-only", "HEAD"], cwd=cwd)
-    tracking_remote = run_cmd(["git", "config", "branch." + local_branch + ".remote"], cwd=cwd)
-    return run_cmd(["git", "config", "remote." + tracking_remote + ".url"], cwd=cwd)
-  except subprocess.CalledProcessError:  # Not on a branch, fallback
-    return run_cmd_default(["git", "config", "--get", "remote.origin.url"], cwd=cwd)
-
-
-@cache
-def get_normalized_origin(cwd: str = None) -> str:
-  return get_origin(cwd) \
-    .replace("git@", "", 1) \
-    .replace(".git", "", 1) \
-    .replace("https://", "", 1) \
-    .replace(":", "/", 1)
@@ -1,33 +0,0 @@
-#pragma once
-
-// Pin definitions
-#ifdef QCOM2
-  #define GPIO_HUB_RST_N        30
-  #define GPIO_UBLOX_RST_N      32
-  #define GPIO_UBLOX_SAFEBOOT_N 33
-  #define GPIO_GNSS_PWR_EN      34 /* SCHEMATIC LABEL: GPIO_UBLOX_PWR_EN */
-  #define GPIO_STM_RST_N        124
-  #define GPIO_STM_BOOT0        134
-  #define GPIO_BMX_ACCEL_INT    21
-  #define GPIO_BMX_GYRO_INT     23
-  #define GPIO_BMX_MAGN_INT     87
-  #define GPIO_LSM_INT          84
-  #define GPIOCHIP_INT          0
-#else
-  #define GPIO_HUB_RST_N        0
-  #define GPIO_UBLOX_RST_N      0
-  #define GPIO_UBLOX_SAFEBOOT_N 0
-  #define GPIO_GNSS_PWR_EN      0 /* SCHEMATIC LABEL: GPIO_UBLOX_PWR_EN */
-  #define GPIO_STM_RST_N        0
-  #define GPIO_STM_BOOT0        0
-  #define GPIO_BMX_ACCEL_INT    0
-  #define GPIO_BMX_GYRO_INT     0
-  #define GPIO_BMX_MAGN_INT     0
-  #define GPIO_LSM_INT          0
-  #define GPIOCHIP_INT          0
-#endif
-
-int gpio_init(int pin_nr, bool output);
-int gpio_set(int pin_nr, bool high);
-
-int gpiochip_get_ro_value_fd(const char* consumer_label, int gpiochiop_id, int pin_nr);
@@ -1,54 +0,0 @@
-import os
-from functools import cache
-
-def gpio_init(pin: int, output: bool) -> None:
-  try:
-    with open(f"/sys/class/gpio/gpio{pin}/direction", 'wb') as f:
-      f.write(b"out" if output else b"in")
-  except Exception as e:
-    print(f"Failed to set gpio {pin} direction: {e}")
-
-def gpio_set(pin: int, high: bool) -> None:
-  try:
-    with open(f"/sys/class/gpio/gpio{pin}/value", 'wb') as f:
-      f.write(b"1" if high else b"0")
-  except Exception as e:
-    print(f"Failed to set gpio {pin} value: {e}")
-
-def gpio_read(pin: int) -> bool | None:
-  val = None
-  try:
-    with open(f"/sys/class/gpio/gpio{pin}/value", 'rb') as f:
-      val = bool(int(f.read().strip()))
-  except Exception as e:
-    print(f"Failed to set gpio {pin} value: {e}")
-
-  return val
-
-def gpio_export(pin: int) -> None:
-  if os.path.isdir(f"/sys/class/gpio/gpio{pin}"):
-    return
-
-  try:
-    with open("/sys/class/gpio/export", 'w') as f:
-      f.write(str(pin))
-  except Exception:
-    print(f"Failed to export gpio {pin}")
-
-@cache
-def get_irq_action(irq: int) -> list[str]:
-  try:
-    with open(f"/sys/kernel/irq/{irq}/actions") as f:
-      actions = f.read().strip().split(',')
-      return actions
-  except FileNotFoundError:
-    return []
-
-def get_irqs_for_action(action: str) -> list[str]:
-  ret = []
-  with open("/proc/interrupts") as f:
-    for l in f.readlines():
-      irq = l.split(':')[0].strip()
-      if irq.isdigit() and action in get_irq_action(irq):
-        ret.append(irq)
-  return ret
@@ -1,19 +0,0 @@
-#pragma once
-
-#include <cstdint>
-#include <mutex>
-
-#include <sys/types.h>
-
-class I2CBus {
-  private:
-    int i2c_fd;
-    std::mutex m;
-
-  public:
-    I2CBus(uint8_t bus_id);
-    ~I2CBus();
-
-    int read_register(uint8_t device_address, uint register_address, uint8_t *buffer, uint8_t len);
-    int set_register(uint8_t device_address, uint register_address, uint8_t data);
-};
@@ -0,0 +1,253 @@
+# pylint: skip-file
+from __future__ import print_function
+import abc
+import numpy as np
+# The EKF class contains the framework for an Extended Kalman Filter, but must be subclassed to use.
+# A subclass must implement:
+#   1) calc_transfer_fun(); see bottom of file for more info.
+#   2) __init__() to initialize self.state, self.covar, and self.process_noise appropriately
+
+# Alternatively, the existing implementations of EKF can be used (e.g. EKF2D)
+
+# Sensor classes are optionally used to pass measurement information into the EKF, to keep
+#   sensor parameters and processing methods for a each sensor together.
+# Sensor classes have a read() method which takes raw sensor data and returns
+#   a SensorReading object, which can be passed to the EKF update() method.
+
+# For usage, see run_ekf1d.py in selfdrive/new for a simple example.
+# ekf.predict(dt) should be called between update cycles with the time since it was last called.
+# Ideally, predict(dt) should be called at a relatively constant rate.
+# update() should be called once per sensor, and can be called multiple times between predict steps.
+# Access and set the state of the filter directly with ekf.state and ekf.covar.
+
+
+class SensorReading:
+  # Given a perfect model and no noise, data = obs_model * state
+  def __init__(self, data, covar, obs_model):
+    self.data = data
+    self.obs_model = obs_model
+    self.covar = covar
+
+  def __repr__(self):
+    return "SensorReading(data={}, covar={}, obs_model={})".format(
+      repr(self.data), repr(self.covar), repr(self.obs_model))
+
+
+# A generic sensor class that does no pre-processing of data
+class SimpleSensor:
+  # obs_model can be
+  #   a full observation model matrix, or
+  #   an integer or tuple of indices into ekf.state, indicating which variables are being directly observed
+  # covar can be
+  #   a full covariance matrix
+  #   a float or tuple of individual covars for each component of the sensor reading
+  # dims is the number of states in the EKF
+  def __init__(self, obs_model, covar, dims):
+    # Allow for integer covar/obs_model
+    if not hasattr(obs_model, "__len__"):
+      obs_model = (obs_model, )
+    if not hasattr(covar, "__len__"):
+      covar = (covar, )
+
+    # Full observation model passed
+    if dims in np.array(obs_model).shape:
+      self.obs_model = np.asmatrix(obs_model)
+      self.covar = np.asmatrix(covar)
+    # Indices of unit observations passed
+    else:
+      self.obs_model = np.matlib.zeros((len(obs_model), dims))
+      self.obs_model[:, list(obs_model)] = np.identity(len(obs_model))
+      if np.asarray(covar).ndim == 2:
+        self.covar = np.asmatrix(covar)
+      elif len(covar) == len(obs_model):
+        self.covar = np.matlib.diag(covar)
+      else:
+        self.covar = np.matlib.identity(len(obs_model)) * covar
+
+  def read(self, data, covar=None):
+    if covar:
+      self.covar = covar
+    return SensorReading(data, self.covar, self.obs_model)
+
+
+class EKF:
+  __metaclass__ = abc.ABCMeta
+
+  def __init__(self, debug=False):
+    self.DEBUG = debug
+
+
+  def __str__(self):
+    return "EKF(state={}, covar={})".format(self.state, self.covar)
+
+  # Measurement update
+  # Reading should be a SensorReading object with data, covar, and obs_model attributes
+  def update(self, reading):
+    # Potential improvements:
+    # deal with negative covars
+    # add noise to really low covars to ensure stability
+    # use mahalanobis distance to reject outliers
+    # wrap angles after state updates and innovation
+
+    # y = z - H*x
+    innovation = reading.data - reading.obs_model * self.state
+
+    if self.DEBUG:
+      print("reading:\n",reading.data)
+      print("innovation:\n",innovation)
+
+    # S = H*P*H' + R
+    innovation_covar = reading.obs_model * self.covar * reading.obs_model.T + reading.covar
+
+    # K = P*H'*S^-1
+    kalman_gain = self.covar * reading.obs_model.T * np.linalg.inv(
+      innovation_covar)
+
+    if self.DEBUG:
+      print("gain:\n", kalman_gain)
+      print("innovation_covar:\n", innovation_covar)
+      print("innovation: ", innovation)
+      print("test: ", self.covar * reading.obs_model.T * (
+        reading.obs_model * self.covar * reading.obs_model.T + reading.covar *
+        0).I)
+
+    # x = x + K*y
+    self.state += kalman_gain*innovation
+
+    # print "covar", np.diag(self.covar)
+    #self.state[(roll_vel, yaw_vel, pitch_vel),:] = reading.data
+
+    # Standard form: P = (I - K*H)*P
+    # self.covar = (self.identity - kalman_gain*reading.obs_model) * self.covar
+
+    # Use the Joseph form for numerical stability: P = (I-K*H)*P*(I - K*H)' + K*R*K'
+    aux_mtrx = (self.identity - kalman_gain * reading.obs_model)
+    self.covar = aux_mtrx * self.covar * aux_mtrx.T + kalman_gain * reading.covar * kalman_gain.T
+
+    if self.DEBUG:
+      print("After update")
+      print("state\n", self.state)
+      print("covar:\n",self.covar)
+
+  def update_scalar(self, reading):
+    # like update but knowing that measurement is a scalar
+    # this avoids matrix inversions and speeds up (surprisingly) drived.py a lot
+
+    # innovation = reading.data - np.matmul(reading.obs_model, self.state)
+    # innovation_covar = np.matmul(np.matmul(reading.obs_model, self.covar), reading.obs_model.T) + reading.covar
+    # kalman_gain = np.matmul(self.covar, reading.obs_model.T)/innovation_covar
+    # self.state += np.matmul(kalman_gain, innovation)
+    # aux_mtrx = self.identity - np.matmul(kalman_gain, reading.obs_model)
+    # self.covar =  np.matmul(aux_mtrx, np.matmul(self.covar, aux_mtrx.T)) + np.matmul(kalman_gain, np.matmul(reading.covar, kalman_gain.T))
+
+    # written without np.matmul
+    es = np.einsum
+    ABC_T = "ij,jk,lk->il"
+    AB_T = "ij,kj->ik"
+    AB = "ij,jk->ik"
+    innovation = reading.data - es(AB, reading.obs_model, self.state)
+    innovation_covar = es(ABC_T, reading.obs_model, self.covar,
+                          reading.obs_model) + reading.covar
+    kalman_gain = es(AB_T, self.covar, reading.obs_model) / innovation_covar
+
+    self.state += es(AB, kalman_gain, innovation)
+    aux_mtrx = self.identity - es(AB, kalman_gain, reading.obs_model)
+    self.covar = es(ABC_T, aux_mtrx, self.covar, aux_mtrx) + \
+                 es(ABC_T, kalman_gain, reading.covar, kalman_gain)
+
+  # Prediction update
+  def predict(self, dt):
+    es = np.einsum
+    ABC_T = "ij,jk,lk->il"
+    AB = "ij,jk->ik"
+
+    # State update
+    transfer_fun, transfer_fun_jacobian = self.calc_transfer_fun(dt)
+
+    # self.state = np.matmul(transfer_fun, self.state)
+    # self.covar = np.matmul(np.matmul(transfer_fun_jacobian, self.covar), transfer_fun_jacobian.T) + self.process_noise * dt
+
+    # x = f(x, u), written in the form x = A(x, u)*x
+    self.state = es(AB, transfer_fun, self.state)
+
+    # P = J*P*J' + Q
+    self.covar = es(ABC_T, transfer_fun_jacobian, self.covar,
+                    transfer_fun_jacobian) + self.process_noise * dt  #!dt
+
+    #! Clip covariance to avoid explosions
+    self.covar = np.clip(self.covar,-1e10,1e10)
+
+  @abc.abstractmethod
+  def calc_transfer_fun(self, dt):
+    """Return a tuple with the transfer function and transfer function jacobian
+    The transfer function and jacobian should both be a numpy matrix of size DIMSxDIMS
+
+    The transfer function matrix A should satisfy the state-update equation
+      x_(k+1) = A * x_k
+
+    The jacobian J is the direct jacobian A*x_k. For linear systems J=A.
+
+    Current implementations calculate A and J as functions of state. Control input
+      can be added trivially by adding a control parameter to predict() and calc_tranfer_update(),
+      and using it during calculation of A and J
+    """
+
+
+class FastEKF1D(EKF):
+  """Fast version of EKF for 1D problems with scalar readings."""
+
+  def __init__(self, dt, var_init, Q):
+    super(FastEKF1D, self).__init__(False)
+    self.state = [0, 0]
+    self.covar = [var_init, var_init, 0]
+
+    # Process Noise
+    self.dtQ0 = dt * Q[0]
+    self.dtQ1 = dt * Q[1]
+
+  def update(self, reading):
+    raise NotImplementedError
+
+  def update_scalar(self, reading):
+    # TODO(mgraczyk): Delete this for speed.
+    # assert np.all(reading.obs_model == [1, 0])
+
+    rcov = reading.covar[0, 0]
+
+    x = self.state
+    S = self.covar
+
+    innovation = reading.data - x[0]
+    innovation_covar = S[0] + rcov
+
+    k0 = S[0] / innovation_covar
+    k1 = S[2] / innovation_covar
+
+    x[0] += k0 * innovation
+    x[1] += k1 * innovation
+
+    mk = 1 - k0
+    S[1] += k1 * (k1 * (S[0] + rcov) - 2 * S[2])
+    S[2] = mk * (S[2] - k1 * S[0]) + rcov * k0 * k1
+    S[0] = mk * mk * S[0] + rcov * k0 * k0
+
+  def predict(self, dt):
+    # State update
+    x = self.state
+
+    x[0] += dt * x[1]
+
+    # P = J*P*J' + Q
+    S = self.covar
+    S[0] += dt * (2 * S[2] + dt * S[1]) + self.dtQ0
+    S[2] += dt * S[1]
+    S[1] += self.dtQ1
+
+    # Clip covariance to avoid explosions
+    S = max(-1e10, min(S, 1e10))
+
+  def calc_transfer_fun(self, dt):
+    tf = np.identity(2)
+    tf[0, 1] = dt
+    tfj = tf
+    return tf, tfj
@@ -0,0 +1,23 @@
+import numpy as np
+
+
+class KF1D:
+  # this EKF assumes constant covariance matrix, so calculations are much simpler
+  # the Kalman gain also needs to be precomputed using the control module
+
+  def __init__(self, x0, A, C, K):
+    self.x = x0
+    self.A = A
+    self.C = C
+    self.K = K
+
+    self.A_K = self.A - np.dot(self.K, self.C)
+
+    # K matrix needs to  be pre-computed as follow:
+    # import control
+    # (x, l, K) = control.dare(np.transpose(self.A), np.transpose(self.C), Q, R)
+    # self.K = np.transpose(K)
+
+  def update(self, meas):
+    self.x = np.dot(self.A_K, self.x) + np.dot(self.K, meas)
+    return self.x
@@ -1,19 +1,13 @@
-import io
 import os
 import sys
 import copy
 import json
-import time
-import uuid
 import socket
 import logging
-import traceback
 from threading import local
 from collections import OrderedDict
 from contextlib import contextmanager

-LOG_TIMESTAMPS = "LOG_TIMESTAMPS" in os.environ
-
 def json_handler(obj):
  # if isinstance(obj, (datetime.date, datetime.time)):
  #   return obj.isoformat()
@@ -66,57 +60,14 @@ class SwagFormatter(logging.Formatter):
    return record_dict

  def format(self, record):
-    if self.swaglogger is None:
-      raise Exception("must set swaglogger before calling format()")
    return json_robust_dumps(self.format_dict(record))

-class SwagLogFileFormatter(SwagFormatter):
-  def fix_kv(self, k, v):
-    # append type to names to preserve legacy naming in logs
-    # avoids overlapping key namespaces with different types
-    # e.g. log.info() creates 'msg' -> 'msg$s'
-    #      log.event() creates 'msg.health.logMonoTime' -> 'msg.health.logMonoTime$i'
-    #      because overlapping namespace 'msg' caused problems
-    if isinstance(v, (str, bytes)):
-      k += "$s"
-    elif isinstance(v, float):
-      k += "$f"
-    elif isinstance(v, bool):
-      k += "$b"
-    elif isinstance(v, int):
-      k += "$i"
-    elif isinstance(v, dict):
-      nv = {}
-      for ik, iv in v.items():
-        ik, iv = self.fix_kv(ik, iv)
-        nv[ik] = iv
-      v = nv
-    elif isinstance(v, list):
-      k += "$a"
-    return k, v
-
-  def format(self, record):
-    if isinstance(record, str):
-      v = json.loads(record)
-    else:
-      v = self.format_dict(record)
-
-    mk, mv = self.fix_kv('msg', v['msg'])
-    del v['msg']
-    v[mk] = mv
-    v['id'] = uuid.uuid4().hex
-
-    return json_robust_dumps(v)
-
 class SwagErrorFilter(logging.Filter):
  def filter(self, record):
    return record.levelno < logging.ERROR

-def _tmpfunc():
-  return 0
-
-def _srcfile():
-  return os.path.normcase(_tmpfunc.__code__.co_filename)
+_tmpfunc = lambda: 0
+_srcfile = os.path.normcase(_tmpfunc.__code__.co_filename)

 class SwagLogger(logging.Logger):
  def __init__(self):
@@ -127,6 +78,28 @@ class SwagLogger(logging.Logger):
    self.log_local = local()
    self.log_local.ctx = {}

+  def findCaller(self, stack_info=None):
+    """
+      Find the stack frame of the caller so that we can note the source
+      file name, line number and function name.
+      """
+    # f = currentframe()
+    f = sys._getframe(3)
+    #On some versions of IronPython, currentframe() returns None if
+    #IronPython isn't run with -X:Frames.
+    if f is not None:
+      f = f.f_back
+    rv = "(unknown file)", 0, "(unknown function)"
+    while hasattr(f, "f_code"):
+      co = f.f_code
+      filename = os.path.normcase(co.co_filename)
+      if filename in (logging._srcfile, _srcfile):
+        f = f.f_back
+        continue
+      rv = (co.co_filename, f.f_lineno, co.co_name)
+      break
+    return rv
+
  def local_ctx(self):
    try:
      return self.log_local.ctx
@@ -153,66 +126,20 @@ class SwagLogger(logging.Logger):
  def bind_global(self, **kwargs):
    self.global_ctx.update(kwargs)

-  def event(self, event, *args, **kwargs):
+  def event(self, event_name, *args, **kwargs):
    evt = NiceOrderedDict()
-    evt['event'] = event
+    evt['event'] = event_name
    if args:
      evt['args'] = args
    evt.update(kwargs)
+    ctx = self.get_ctx()
+    if ctx:
+      evt['ctx'] = self.get_ctx()
    if 'error' in kwargs:
      self.error(evt)
-    elif 'debug' in kwargs:
-      self.debug(evt)
    else:
      self.info(evt)

-  def timestamp(self, event_name):
-    if LOG_TIMESTAMPS:
-      t = time.monotonic()
-      tstp = NiceOrderedDict()
-      tstp['timestamp'] = NiceOrderedDict()
-      tstp['timestamp']["event"] = event_name
-      tstp['timestamp']["time"] = t*1e9
-      self.debug(tstp)
-
-  def findCaller(self, stack_info=False, stacklevel=1):
-    """
-    Find the stack frame of the caller so that we can note the source
-    file name, line number and function name.
-    """
-    f = sys._getframe(3)
-    #On some versions of IronPython, currentframe() returns None if
-    #IronPython isn't run with -X:Frames.
-    if f is not None:
-      f = f.f_back
-    orig_f = f
-    while f and stacklevel > 1:
-      f = f.f_back
-      stacklevel -= 1
-    if not f:
-      f = orig_f
-    rv = "(unknown file)", 0, "(unknown function)", None
-    while hasattr(f, "f_code"):
-      co = f.f_code
-      filename = os.path.normcase(co.co_filename)
-
-      # TODO: is this pylint exception correct?
-      if filename == _srcfile:
-        f = f.f_back
-        continue
-      sinfo = None
-      if stack_info:
-        sio = io.StringIO()
-        sio.write('Stack (most recent call last):\n')
-        traceback.print_stack(f, file=sio)
-        sinfo = sio.getvalue()
-        if sinfo[-1] == '\n':
-          sinfo = sinfo[:-1]
-        sio.close()
-      rv = (co.co_filename, f.f_lineno, co.co_name, sinfo)
-      break
-    return rv
-
 if __name__ == "__main__":
  log = SwagLogger()

@@ -1,45 +0,0 @@
-HTML_REPLACEMENTS = [
-  (r'&', r'&amp;'),
-  (r'"', r'&quot;'),
-]
-
-def parse_markdown(text: str, tab_length: int = 2) -> str:
-  lines = text.split("\n")
-  output: list[str] = []
-  list_level = 0
-
-  def end_outstanding_lists(level: int, end_level: int) -> int:
-    while level > end_level:
-      level -= 1
-      output.append("</ul>")
-      if level > 0:
-        output.append("</li>")
-    return end_level
-
-  for i, line in enumerate(lines):
-    if i + 1 < len(lines) and lines[i + 1].startswith("==="):  # heading
-      output.append(f"<h1>{line}</h1>")
-    elif line.startswith("==="):
-      pass
-    elif line.lstrip().startswith("* "):  # list
-      line_level = 1 + line.count(" " * tab_length, 0, line.index("*"))
-      if list_level >= line_level:
-        list_level = end_outstanding_lists(list_level, line_level)
-      else:
-        list_level += 1
-        if list_level > 1:
-          output[-1] = output[-1].replace("</li>", "")
-        output.append("<ul>")
-      output.append(f"<li>{line.replace('*', '', 1).lstrip()}</li>")
-    else:
-      list_level = end_outstanding_lists(list_level, 0)
-      if len(line) > 0:
-        output.append(line)
-
-  end_outstanding_lists(list_level, 0)
-  output_str = "\n".join(output) + "\n"
-
-  for (fr, to) in HTML_REPLACEMENTS:
-    output_str = output_str.replace(fr, to)
-
-  return output_str
@@ -1,50 +0,0 @@
-"""
-Utilities for generating mock messages for testing.
-example in common/tests/test_mock.py
-"""
-
-
-import functools
-import threading
-from cereal.messaging import PubMaster
-from cereal.services import SERVICE_LIST
-from openpilot.common.mock.generators import generate_liveLocationKalman
-from openpilot.common.realtime import Ratekeeper
-
-
-MOCK_GENERATOR = {
-  "liveLocationKalman": generate_liveLocationKalman
-}
-
-
-def generate_messages_loop(services: list[str], done: threading.Event):
-  pm = PubMaster(services)
-  rk = Ratekeeper(100)
-  i = 0
-  while not done.is_set():
-    for s in services:
-      should_send = i % (100/SERVICE_LIST[s].frequency) == 0
-      if should_send:
-        message = MOCK_GENERATOR[s]()
-        pm.send(s, message)
-    i += 1
-    rk.keep_time()
-
-
-def mock_messages(services: list[str] | str):
-  if isinstance(services, str):
-    services = [services]
-
-  def decorator(func):
-    @functools.wraps(func)
-    def wrapper(*args, **kwargs):
-      done = threading.Event()
-      t = threading.Thread(target=generate_messages_loop, args=(services, done))
-      t.start()
-      try:
-        return func(*args, **kwargs)
-      finally:
-        done.set()
-        t.join()
-    return wrapper
-  return decorator
@@ -1,20 +0,0 @@
-from cereal import messaging
-
-
-LOCATION1 = (32.7174, -117.16277)
-LOCATION2 = (32.7558, -117.2037)
-
-LLK_DECIMATION = 10
-RENDER_FRAMES = 15
-DEFAULT_ITERATIONS = RENDER_FRAMES * LLK_DECIMATION
-
-
-def generate_liveLocationKalman(location=LOCATION1):
-  msg = messaging.new_message('liveLocationKalman')
-  msg.liveLocationKalman.positionGeodetic = {'value': [*location, 0], 'std': [0., 0., 0.], 'valid': True}
-  msg.liveLocationKalman.positionECEF = {'value': [0., 0., 0.], 'std': [0., 0., 0.], 'valid': True}
-  msg.liveLocationKalman.calibratedOrientationNED = {'value': [0., 0., 0.], 'std': [0., 0., 0.], 'valid': True}
-  msg.liveLocationKalman.velocityCalibrated = {'value': [0., 0., 0.], 'std': [0., 0., 0.], 'valid': True}
-  msg.liveLocationKalman.status = 'valid'
-  msg.liveLocationKalman.gpsOK = True
-  return msg
@@ -1,19 +1,18 @@
+def int_rnd(x):
+  return int(round(x))
+
 def clip(x, lo, hi):
  return max(lo, min(hi, x))

 def interp(x, xp, fp):
  N = len(xp)
-
  def get_interp(xv):
    hi = 0
    while hi < N and xv > xp[hi]:
      hi += 1
    low = hi - 1
    return fp[-1] if hi == N and xv > xp[low] else (
-      fp[0] if hi == 0 else
+      fp[0] if hi == 0 else 
      (xv - xp[low]) * (fp[hi] - fp[low]) / (xp[hi] - xp[low]) + fp[low])
-
-  return [get_interp(v) for v in x] if hasattr(x, '__iter__') else get_interp(x)
-
-def mean(x):
-  return sum(x) / len(x)
+  return [get_interp(v) for v in x] if hasattr(
+    x, '__iter__') else get_interp(x)
@@ -1,70 +0,0 @@
-#pragma once
-
-#include <future>
-#include <map>
-#include <string>
-#include <tuple>
-#include <utility>
-#include <vector>
-
-#include "common/queue.h"
-
-enum ParamKeyType {
-  PERSISTENT = 0x02,
-  CLEAR_ON_MANAGER_START = 0x04,
-  CLEAR_ON_ONROAD_TRANSITION = 0x08,
-  CLEAR_ON_OFFROAD_TRANSITION = 0x10,
-  DONT_LOG = 0x20,
-  DEVELOPMENT_ONLY = 0x40,
-  ALL = 0xFFFFFFFF
-};
-
-class Params {
-public:
-  explicit Params(const std::string &path = {});
-  ~Params();
-  // Not copyable.
-  Params(const Params&) = delete;
-  Params& operator=(const Params&) = delete;
-
-  std::vector<std::string> allKeys() const;
-  bool checkKey(const std::string &key);
-  ParamKeyType getKeyType(const std::string &key);
-  inline std::string getParamPath(const std::string &key = {}) {
-    return params_path + params_prefix + (key.empty() ? "" : "/" + key);
-  }
-
-  // Delete a value
-  int remove(const std::string &key);
-  void clearAll(ParamKeyType type);
-
-  // helpers for reading values
-  std::string get(const std::string &key, bool block = false);
-  inline bool getBool(const std::string &key, bool block = false) {
-    return get(key, block) == "1";
-  }
-  std::map<std::string, std::string> readAll();
-
-  // helpers for writing values
-  int put(const char *key, const char *val, size_t value_size);
-  inline int put(const std::string &key, const std::string &val) {
-    return put(key.c_str(), val.data(), val.size());
-  }
-  inline int putBool(const std::string &key, bool val) {
-    return put(key.c_str(), val ? "1" : "0", 1);
-  }
-  void putNonBlocking(const std::string &key, const std::string &val);
-  inline void putBoolNonBlocking(const std::string &key, bool val) {
-    putNonBlocking(key, val ? "1" : "0");
-  }
-
-private:
-  void asyncWriteThread();
-
-  std::string params_path;
-  std::string params_prefix;
-
-  // for nonblocking write
-  std::future<void> future;
-  SafeQueue<std::pair<std::string, std::string>> queue;
-};
@@ -1,18 +1,358 @@
-from openpilot.common.params_pyx import Params, ParamKeyType, UnknownKeyName
-assert Params
-assert ParamKeyType
-assert UnknownKeyName
+#!/usr/bin/env python
+"""ROS has a parameter server, we have files.
+
+The parameter store is a persistent key value store, implemented as a directory with a writer lock.
+On Android, we store params under params_dir = /data/params. The writer lock is a file
+"<params_dir>/.lock" taken using flock(), and data is stored in a directory symlinked to by
+"<params_dir>/d".
+
+Each key, value pair is stored as a file with named <key> with contents <value>, located in
+  <params_dir>/d/<key>
+
+Readers of a single key can just open("<params_dir>/d/<key>") and read the file contents.
+Readers who want a consistent snapshot of multiple keys should take the lock.
+
+Writers should take the lock before modifying anything. Writers should also leave the DB in a
+consistent state after a crash. The implementation below does this by copying all params to a temp
+directory <params_dir>/<tmp>, then atomically symlinking <params_dir>/<d> to <params_dir>/<tmp>
+before deleting the old <params_dir>/<d> directory.
+
+Writers that only modify a single key can simply take the lock, then swap the corresponding value
+file in place without messing with <params_dir>/d.
+"""
+import time
+import os
+import errno
+import sys
+import shutil
+import fcntl
+import tempfile
+from enum import Enum
+
+def mkdirs_exists_ok(path):
+  try:
+    os.makedirs(path)
+  except OSError:
+    if not os.path.isdir(path):
+      raise
+
+class TxType(Enum):
+  PERSISTENT = 1
+  CLEAR_ON_MANAGER_START = 2
+  CLEAR_ON_CAR_START = 3
+
+class UnknownKeyName(Exception):
+  pass
+
+keys = {
+# written: manager
+# read:    loggerd, uploaderd, offroad
+  "DongleId": TxType.PERSISTENT,
+  "AccessToken": TxType.PERSISTENT,
+  "Version": TxType.PERSISTENT,
+  "TrainingVersion": TxType.PERSISTENT,
+  "GitCommit": TxType.PERSISTENT,
+  "GitBranch": TxType.PERSISTENT,
+  "GitRemote": TxType.PERSISTENT,
+# written: baseui
+# read:    ui, controls
+  "IsMetric": TxType.PERSISTENT,
+  "IsFcwEnabled": TxType.PERSISTENT,
+  "HasAcceptedTerms": TxType.PERSISTENT,
+  "CompletedTrainingVersion": TxType.PERSISTENT,
+  "IsUploadVideoOverCellularEnabled": TxType.PERSISTENT,
+  "IsDriverMonitoringEnabled": TxType.PERSISTENT,
+  "IsGeofenceEnabled": TxType.PERSISTENT,
+# written: visiond
+# read:    visiond, controlsd
+  "CalibrationParams": TxType.PERSISTENT,
+# written: controlsd
+# read:    radard
+  "CarParams": TxType.CLEAR_ON_CAR_START,
+
+  "Passive": TxType.PERSISTENT,
+  "DoUninstall": TxType.CLEAR_ON_MANAGER_START,
+  "ShouldDoUpdate": TxType.CLEAR_ON_MANAGER_START,
+  "IsUpdateAvailable": TxType.PERSISTENT,
+
+  "RecordFront": TxType.PERSISTENT,
+}
+
+def fsync_dir(path):
+  fd = os.open(path, os.O_RDONLY)
+  try:
+    os.fsync(fd)
+  finally:
+    os.close(fd)
+
+
+class FileLock(object):
+  def __init__(self, path, create):
+    self._path = path
+    self._create = create
+    self._fd = None
+
+  def acquire(self):
+    self._fd = os.open(self._path, os.O_CREAT if self._create else 0)
+    fcntl.flock(self._fd, fcntl.LOCK_EX)
+
+  def release(self):
+    if self._fd is not None:
+      os.close(self._fd)
+      self._fd = None
+
+
+class DBAccessor(object):
+  def __init__(self, path):
+    self._path = path
+    self._vals = None
+
+  def keys(self):
+    self._check_entered()
+    return self._vals.keys()
+
+  def get(self, key):
+    self._check_entered()
+    try:
+      return self._vals[key]
+    except KeyError:
+      return None
+
+  def _get_lock(self, create):
+    lock = FileLock(os.path.join(self._path, ".lock"), create)
+    lock.acquire()
+    return lock
+
+  def _read_values_locked(self):
+    """Callers should hold a lock while calling this method."""
+    vals = {}
+    try:
+      data_path = self._data_path()
+      keys = os.listdir(data_path)
+      for key in keys:
+        with open(os.path.join(data_path, key), "rb") as f:
+          vals[key] = f.read()
+    except (OSError, IOError) as e:
+      # Either the DB hasn't been created yet, or somebody wrote a bug and left the DB in an
+      # inconsistent state. Either way, return empty.
+      if e.errno == errno.ENOENT:
+        return {}
+
+    return vals
+
+  def _data_path(self):
+    return os.path.join(self._path, "d")
+
+  def _check_entered(self):
+    if self._vals is None:
+      raise Exception("Must call __enter__ before using DB")
+
+
+class DBReader(DBAccessor):
+  def __enter__(self):
+    try:
+      lock = self._get_lock(False)
+    except OSError as e:
+      # Do not create lock if it does not exist.
+      if e.errno == errno.ENOENT:
+        self._vals = {}
+        return self
+
+    try:
+      # Read everything.
+      self._vals = self._read_values_locked()
+      return self
+    finally:
+      lock.release()
+
+  def __exit__(self, type, value, traceback): pass
+
+
+class DBWriter(DBAccessor):
+  def __init__(self, path):
+    super(DBWriter, self).__init__(path)
+    self._lock = None
+    self._prev_umask = None
+
+  def put(self, key, value):
+    self._vals[key] = value
+
+  def delete(self, key):
+    self._vals.pop(key, None)
+
+  def __enter__(self):
+    mkdirs_exists_ok(self._path)
+
+    # Make sure we can write and that permissions are correct.
+    self._prev_umask = os.umask(0)
+
+    try:
+      os.chmod(self._path, 0o777)
+      self._lock = self._get_lock(True)
+      self._vals = self._read_values_locked()
+    except:
+      os.umask(self._prev_umask)
+      self._prev_umask = None
+      raise
+
+    return self
+
+  def __exit__(self, type, value, traceback):
+    self._check_entered()
+
+    try:
+      # data_path refers to the externally used path to the params. It is a symlink.
+      # old_data_path is the path currently pointed to by data_path.
+      # tempdir_path is a path where the new params will go, which the new data path will point to.
+      # new_data_path is a temporary symlink that will atomically overwrite data_path.
+      #
+      # The current situation is:
+      #   data_path -> old_data_path
+      # We're going to write params data to tempdir_path
+      #   tempdir_path -> params data
+      # Then point new_data_path to tempdir_path
+      #   new_data_path -> tempdir_path
+      # Then atomically overwrite data_path with new_data_path
+      #   data_path -> tempdir_path
+      old_data_path = None
+      new_data_path = None
+      tempdir_path = tempfile.mkdtemp(prefix=".tmp", dir=self._path)
+
+      try:
+        # Write back all keys.
+        os.chmod(tempdir_path, 0o777)
+        for k, v in self._vals.items():
+          with open(os.path.join(tempdir_path, k), "wb") as f:
+            f.write(v)
+            f.flush()
+            os.fsync(f.fileno())
+        fsync_dir(tempdir_path)
+
+        data_path = self._data_path()
+        try:
+          old_data_path = os.path.join(self._path, os.readlink(data_path))
+        except (OSError, IOError):
+          # NOTE(mgraczyk): If other DB implementations have bugs, this could cause
+          #                 copies to be left behind, but we still want to overwrite.
+          pass
+
+        new_data_path = "{}.link".format(tempdir_path)
+        os.symlink(os.path.basename(tempdir_path), new_data_path)
+        os.rename(new_data_path, data_path)
+        fsync_dir(self._path)
+      finally:
+        # If the rename worked, we can delete the old data. Otherwise delete the new one.
+        success = new_data_path is not None and os.path.exists(data_path) and (
+          os.readlink(data_path) == os.path.basename(tempdir_path))
+
+        if success:
+          if old_data_path is not None:
+            shutil.rmtree(old_data_path)
+        else:
+          shutil.rmtree(tempdir_path)
+
+        # Regardless of what happened above, there should be no link at new_data_path.
+        if new_data_path is not None and os.path.islink(new_data_path):
+          os.remove(new_data_path)
+    finally:
+      os.umask(self._prev_umask)
+      self._prev_umask = None
+
+      # Always release the lock.
+      self._lock.release()
+      self._lock = None
+
+
+def read_db(params_path, key):
+  path = "%s/d/%s" % (params_path, key)
+  try:
+    with open(path, "rb") as f:
+      return f.read()
+  except IOError:
+    return None
+
+def write_db(params_path, key, value):
+  prev_umask = os.umask(0)
+  lock = FileLock(params_path+"/.lock", True)
+  lock.acquire()
+
+  try:
+    tmp_path = tempfile.mktemp(prefix=".tmp", dir=params_path)
+    with open(tmp_path, "wb") as f:
+      f.write(value)
+      f.flush()
+      os.fsync(f.fileno())
+
+    path = "%s/d/%s" % (params_path, key)
+    os.rename(tmp_path, path)
+    fsync_dir(os.path.dirname(path))
+  finally:
+    os.umask(prev_umask)
+    lock.release()
+
+class Params(object):
+  def __init__(self, db='/data/params'):
+    self.db = db
+
+    # create the database if it doesn't exist...
+    if not os.path.exists(self.db+"/d"):
+      with self.transaction(write=True):
+        pass
+
+  def transaction(self, write=False):
+    if write:
+      return DBWriter(self.db)
+    else:
+      return DBReader(self.db)
+
+  def _clear_keys_with_type(self, tx_type):
+    with self.transaction(write=True) as txn:
+      for key in keys:
+        if keys[key] == tx_type:
+          txn.delete(key)
+
+  def manager_start(self):
+    self._clear_keys_with_type(TxType.CLEAR_ON_MANAGER_START)
+
+  def car_start(self):
+    self._clear_keys_with_type(TxType.CLEAR_ON_CAR_START)
+
+  def delete(self, key):
+    with self.transaction(write=True) as txn:
+      txn.delete(key)
+
+  def get(self, key, block=False):
+    if key not in keys:
+      raise UnknownKeyName(key)
+
+    while 1:
+      ret = read_db(self.db, key)
+      if not block or ret is not None:
+        break
+      # is polling really the best we can do?
+      time.sleep(0.05)
+    return ret
+
+  def put(self, key, dat):
+    if key not in keys:
+      raise UnknownKeyName(key)
+
+    write_db(self.db, key, dat)

 if __name__ == "__main__":
-  import sys
-
  params = Params()
-  key = sys.argv[1]
-  assert params.check_key(key), f"unknown param: {key}"
+  if len(sys.argv) > 2:
+    params.put(sys.argv[1], sys.argv[2])
+  else:
+    for k in keys:
+      pp = params.get(k)
+      if pp is None:
+        print("%s is None" % k)
+      elif all(ord(c) < 128 and ord(c) >= 32 for c in pp):
+        print("%s = %s" % (k, pp))
+      else:
+        print("%s = %s" % (k, pp.encode("hex")))

-  if len(sys.argv) == 3:
-    val = sys.argv[2]
-    print(f"SET: {key} = {val}")
-    params.put(key, val)
-  elif len(sys.argv) == 2:
-    print(f"GET: {key} = {params.get(key)}")
+  # Test multiprocess:
+  # seq 0 100000 | xargs -P20 -I{} python common/params.py DongleId {} && sleep 0.05
+  # while python common/params.py DongleId; do sleep 0.05; done
@@ -1,118 +0,0 @@
-# distutils: language = c++
-# cython: language_level = 3
-from libcpp cimport bool
-from libcpp.string cimport string
-from libcpp.vector cimport vector
-
-cdef extern from "common/params.h":
-  cpdef enum ParamKeyType:
-    PERSISTENT
-    CLEAR_ON_MANAGER_START
-    CLEAR_ON_ONROAD_TRANSITION
-    CLEAR_ON_OFFROAD_TRANSITION
-    DEVELOPMENT_ONLY
-    ALL
-
-  cdef cppclass c_Params "Params":
-    c_Params(string) except + nogil
-    string get(string, bool) nogil
-    bool getBool(string, bool) nogil
-    int remove(string) nogil
-    int put(string, string) nogil
-    void putNonBlocking(string, string) nogil
-    void putBoolNonBlocking(string, bool) nogil
-    int putBool(string, bool) nogil
-    bool checkKey(string) nogil
-    string getParamPath(string) nogil
-    void clearAll(ParamKeyType)
-    vector[string] allKeys()
-
-
-def ensure_bytes(v):
-  return v.encode() if isinstance(v, str) else v
-
-class UnknownKeyName(Exception):
-  pass
-
-cdef class Params:
-  cdef c_Params* p
-
-  def __cinit__(self, d=""):
-    cdef string path = <string>d.encode()
-    with nogil:
-      self.p = new c_Params(path)
-
-  def __dealloc__(self):
-    del self.p
-
-  def clear_all(self, tx_type=ParamKeyType.ALL):
-    self.p.clearAll(tx_type)
-
-  def check_key(self, key):
-    key = ensure_bytes(key)
-    if not self.p.checkKey(key):
-      raise UnknownKeyName(key)
-    return key
-
-  def get(self, key, bool block=False, encoding=None):
-    cdef string k = self.check_key(key)
-    cdef string val
-    with nogil:
-      val = self.p.get(k, block)
-
-    if val == b"":
-      if block:
-        # If we got no value while running in blocked mode
-        # it means we got an interrupt while waiting
-        raise KeyboardInterrupt
-      else:
-        return None
-
-    return val if encoding is None else val.decode(encoding)
-
-  def get_bool(self, key, bool block=False):
-    cdef string k = self.check_key(key)
-    cdef bool r
-    with nogil:
-      r = self.p.getBool(k, block)
-    return r
-
-  def put(self, key, dat):
-    """
-    Warning: This function blocks until the param is written to disk!
-    In very rare cases this can take over a second, and your code will hang.
-    Use the put_nonblocking, put_bool_nonblocking in time sensitive code, but
-    in general try to avoid writing params as much as possible.
-    """
-    cdef string k = self.check_key(key)
-    cdef string dat_bytes = ensure_bytes(dat)
-    with nogil:
-      self.p.put(k, dat_bytes)
-
-  def put_bool(self, key, bool val):
-    cdef string k = self.check_key(key)
-    with nogil:
-      self.p.putBool(k, val)
-
-  def put_nonblocking(self, key, dat):
-    cdef string k = self.check_key(key)
-    cdef string dat_bytes = ensure_bytes(dat)
-    with nogil:
-      self.p.putNonBlocking(k, dat_bytes)
-
-  def put_bool_nonblocking(self, key, bool val):
-    cdef string k = self.check_key(key)
-    with nogil:
-      self.p.putBoolNonBlocking(k, val)
-
-  def remove(self, key):
-    cdef string k = self.check_key(key)
-    with nogil:
-      self.p.remove(k)
-
-  def get_param_path(self, key=""):
-    cdef string key_bytes = ensure_bytes(key)
-    return self.p.getParamPath(key_bytes).decode("utf-8")
-
-  def all_keys(self):
-    return self.p.allKeys()
@@ -1,39 +0,0 @@
-#pragma once
-
-#include <cassert>
-#include <string>
-
-#include "common/params.h"
-#include "common/util.h"
-#include "system/hardware/hw.h"
-
-class OpenpilotPrefix {
-public:
-  OpenpilotPrefix(std::string prefix = {}) {
-    if (prefix.empty()) {
-      prefix = util::random_string(15);
-    }
-    msgq_path = "/dev/shm/" + prefix;
-    bool ret = util::create_directories(msgq_path, 0777);
-    assert(ret);
-    setenv("OPENPILOT_PREFIX", prefix.c_str(), 1);
-  }
-
-  ~OpenpilotPrefix() {
-    auto param_path = Params().getParamPath();
-    if (util::file_exists(param_path)) {
-      std::string real_path = util::readlink(param_path);
-      system(util::string_format("rm %s -rf", real_path.c_str()).c_str());
-      unlink(param_path.c_str());
-    }
-    if (getenv("COMMA_CACHE") == nullptr) {
-      system(util::string_format("rm %s -rf", Path::download_cache_root().c_str()).c_str());
-    }
-    system(util::string_format("rm %s -rf", Path::comma_home().c_str()).c_str());
-    system(util::string_format("rm %s -rf", msgq_path.c_str()).c_str());
-    unsetenv("OPENPILOT_PREFIX");
-  }
-
-private:
-  std::string msgq_path;
-};
@@ -1,53 +0,0 @@
-import os
-import shutil
-import uuid
-
-
-from openpilot.common.params import Params
-from openpilot.system.hardware import PC
-from openpilot.system.hardware.hw import Paths
-from openpilot.system.hardware.hw import DEFAULT_DOWNLOAD_CACHE_ROOT
-
-class OpenpilotPrefix:
-  def __init__(self, prefix: str = None, clean_dirs_on_exit: bool = True, shared_download_cache: bool = False):
-    self.prefix = prefix if prefix else str(uuid.uuid4().hex[0:15])
-    self.msgq_path = os.path.join('/dev/shm', self.prefix)
-    self.clean_dirs_on_exit = clean_dirs_on_exit
-    self.shared_download_cache = shared_download_cache
-
-  def __enter__(self):
-    self.original_prefix = os.environ.get('OPENPILOT_PREFIX', None)
-    os.environ['OPENPILOT_PREFIX'] = self.prefix
-    try:
-      os.mkdir(self.msgq_path)
-    except FileExistsError:
-      pass
-    os.makedirs(Paths.log_root(), exist_ok=True)
-
-    if self.shared_download_cache:
-      os.environ["COMMA_CACHE"] = DEFAULT_DOWNLOAD_CACHE_ROOT
-
-    return self
-
-  def __exit__(self, exc_type, exc_obj, exc_tb):
-    if self.clean_dirs_on_exit:
-      self.clean_dirs()
-    try:
-      del os.environ['OPENPILOT_PREFIX']
-      if self.original_prefix is not None:
-        os.environ['OPENPILOT_PREFIX'] = self.original_prefix
-    except KeyError:
-      pass
-    return False
-
-  def clean_dirs(self):
-    symlink_path = Params().get_param_path()
-    if os.path.exists(symlink_path):
-      shutil.rmtree(os.path.realpath(symlink_path), ignore_errors=True)
-      os.remove(symlink_path)
-    shutil.rmtree(self.msgq_path, ignore_errors=True)
-    if PC:
-      shutil.rmtree(Paths.log_root(), ignore_errors=True)
-    if not os.environ.get("COMMA_CACHE", False):
-      shutil.rmtree(Paths.download_cache_root(), ignore_errors=True)
-    shutil.rmtree(Paths.comma_home(), ignore_errors=True)
@@ -0,0 +1,46 @@
+import time
+
+class Profiler(object):
+  def __init__(self, enabled=False):
+    self.enabled = enabled
+    self.cp = {}
+    self.cp_ignored = []
+    self.iter = 0
+    self.start_time = time.time()
+    self.last_time = self.start_time
+    self.tot = 0.
+
+  def reset(self, enabled=False):
+    self.enabled = enabled
+    self.cp = {}
+    self.cp_ignored = []
+    self.iter = 0
+    self.start_time = time.time()
+    self.last_time = self.start_time
+
+  def checkpoint(self, name, ignore=False):
+    # ignore flag needed when benchmarking threads with ratekeeper
+    if not self.enabled:
+      return
+    tt = time.time()
+    if name not in self.cp:
+      self.cp[name] = 0.
+      if ignore:
+        self.cp_ignored.append(name)
+    self.cp[name] += tt - self.last_time
+    if not ignore:
+      self.tot += tt - self.last_time
+    self.last_time = tt
+
+  def display(self):
+    if not self.enabled:
+      return
+    self.iter += 1
+    print("******* Profiling *******")
+    for n, ms in sorted(self.cp.items(), key=lambda x: -x[1]):
+      if n in self.cp_ignored:
+        print("%30s: %7.2f   percent: %3.0f   IGNORED" % (n, ms*1000.0, ms/self.tot*100))
+      else:
+        print("%30s: %7.2f   percent: %3.0f" % (n, ms*1000.0, ms/self.tot*100))
+    print("Iter clock: %2.6f   TOTAL: %2.2f" % (self.tot/self.iter, self.tot))
+
@@ -1,52 +0,0 @@
-#pragma once
-
-#include <condition_variable>
-#include <mutex>
-#include <queue>
-
-template <class T>
-class SafeQueue {
-public:
-  SafeQueue() = default;
-
-  void push(const T& v) {
-    {
-      std::unique_lock lk(m);
-      q.push(v);
-    }
-    cv.notify_one();
-  }
-
-  T pop() {
-    std::unique_lock lk(m);
-    cv.wait(lk, [this] { return !q.empty(); });
-    T v = q.front();
-    q.pop();
-    return v;
-  }
-
-  bool try_pop(T& v, int timeout_ms = 0) {
-    std::unique_lock lk(m);
-    if (!cv.wait_for(lk, std::chrono::milliseconds(timeout_ms), [this] { return !q.empty(); })) {
-      return false;
-    }
-    v = q.front();
-    q.pop();
-    return true;
-  }
-
-  bool empty() const {
-    std::scoped_lock lk(m);
-    return q.empty();
-  }
-
-  size_t size() const {
-    std::scoped_lock lk(m);
-    return q.size();
-  }
-
-private:
-  mutable std::mutex m;
-  std::condition_variable cv;
-  std::queue<T> q;
-};
@@ -1,23 +0,0 @@
-#pragma once
-
-#include <cstdint>
-#include <string>
-
-class RateKeeper {
-public:
-  RateKeeper(const std::string &name, float rate, float print_delay_threshold = 0);
-  ~RateKeeper() {}
-  bool keepTime();
-  bool monitorTime();
-  inline uint64_t frame() const { return frame_; }
-  inline double remaining() const { return remaining_; }
-
-private:
-  double interval;
-  double next_frame_time;
-  double last_monitor_time;
-  double remaining_ = 0;
-  float print_delay_threshold = 0;
-  uint64_t frame_ = 0;
-  std::string name;
-};
@@ -1,94 +1,108 @@
 """Utilities for reading real time clocks and keeping soft real time constraints."""
-import gc
 import os
 import time
-from collections import deque
+import platform
+import threading
+import subprocess
+import multiprocessing

-from openpilot.common.threadname import getthreadname
+from cffi import FFI
+ffi = FFI()
+ffi.cdef("""

-from openpilot.system.hardware import PC
+typedef int clockid_t;
+struct timespec {
+    long tv_sec;   /* Seconds.  */
+    long tv_nsec;  /* Nanoseconds.  */
+};
+int clock_gettime (clockid_t clk_id, struct timespec *tp);
+
+long syscall(long number, ...);
+
+"""
+)
+libc = ffi.dlopen(None)


-# time step for each process
-DT_CTRL = 0.01  # controlsd
-DT_MDL = 0.05  # model
-DT_HW = 0.5  # hardwared and manager
-DT_DMON = 0.05  # driver monitoring
+# see <linux/time.h>
+CLOCK_MONOTONIC_RAW = 4
+CLOCK_BOOTTIME = 7
+
+if platform.system() != 'Darwin' and hasattr(libc, 'clock_gettime'):
+  c_clock_gettime = libc.clock_gettime
+
+  tlocal = threading.local()
+  def clock_gettime(clk_id):
+    if not hasattr(tlocal, 'ts'):
+      tlocal.ts = ffi.new('struct timespec *')
+
+    ts = tlocal.ts
+
+    r = c_clock_gettime(clk_id, ts)
+    if r != 0:
+      raise OSError("clock_gettime")
+    return ts.tv_sec + ts.tv_nsec * 1e-9
+else:
+  # hack. only for OS X < 10.12
+  def clock_gettime(clk_id):
+    return time.time()
+
+def monotonic_time():
+  return clock_gettime(CLOCK_MONOTONIC_RAW)
+
+def sec_since_boot():
+  return clock_gettime(CLOCK_BOOTTIME)


-class Priority:
-  # CORE 2
-  # - modeld = 55
-  # - camerad = 54
-  CTRL_LOW = 51 # plannerd & radard
+def set_realtime_priority(level):
+  if os.getuid() != 0:
+    print("not setting priority, not root")
+    return
+  if platform.machine() == "x86_64":
+    NR_gettid = 186
+  elif platform.machine() == "aarch64":
+    NR_gettid = 178
+  else:
+    raise NotImplementedError

-  # CORE 3
-  # - pandad = 55
-  CTRL_HIGH = 53
+  tid = libc.syscall(NR_gettid)
+  return subprocess.call(['chrt', '-f', '-p', str(level), str(tid)])


-def set_realtime_priority(level: int) -> None:
-  if not PC:
-    os.sched_setscheduler(0, os.SCHED_FIFO, os.sched_param(level))
-
-
-def set_core_affinity(cores: list[int]) -> None:
-  if not PC:
-    os.sched_setaffinity(0, cores)
-
-
-def config_realtime_process(cores: int | list[int], priority: int) -> None:
-  gc.disable()
-  set_realtime_priority(priority)
-  c = cores if isinstance(cores, list) else [cores, ]
-  set_core_affinity(c)
-
-
-class Ratekeeper:
-  def __init__(self, rate: float, print_delay_threshold: float | None = 0.0) -> None:
+class Ratekeeper(object):
+  def __init__(self, rate, print_delay_threshold=0.):
    """Rate in Hz for ratekeeping. print_delay_threshold must be nonnegative."""
    self._interval = 1. / rate
-    self._next_frame_time = time.monotonic() + self._interval
+    self._next_frame_time = sec_since_boot() + self._interval
    self._print_delay_threshold = print_delay_threshold
    self._frame = 0
-    self._remaining = 0.0
-    self._thread_name = getthreadname()
-    self._dts = deque([self._interval], maxlen=100)
-    self._last_monitor_time = time.monotonic()
+    self._remaining = 0
+    self._process_name = multiprocessing.current_process().name

  @property
-  def frame(self) -> int:
+  def frame(self):
    return self._frame

  @property
-  def remaining(self) -> float:
+  def remaining(self):
    return self._remaining

-  @property
-  def lagging(self) -> bool:
-    avg_dt = sum(self._dts) / len(self._dts)
-    expected_dt = self._interval * (1 / 0.9)
-    return avg_dt > expected_dt
-
  # Maintain loop rate by calling this at the end of each loop
-  def keep_time(self) -> bool:
+  def keep_time(self):
    lagged = self.monitor_time()
    if self._remaining > 0:
      time.sleep(self._remaining)
    return lagged

-  # Monitors the cumulative lag, but does not enforce a rate
-  def monitor_time(self) -> bool:
-    prev = self._last_monitor_time
-    self._last_monitor_time = time.monotonic()
-    self._dts.append(self._last_monitor_time - prev)
-
+  # this only monitor the cumulative lag, but does not enforce a rate
+  def monitor_time(self):
    lagged = False
-    remaining = self._next_frame_time - time.monotonic()
+    remaining = self._next_frame_time - sec_since_boot()
    self._next_frame_time += self._interval
-    if self._print_delay_threshold is not None and remaining < -self._print_delay_threshold:
-      print(f"{self._thread_name} lagging by {-remaining * 1000:.2f} ms")
+    if remaining < -self._print_delay_threshold:
+      print("%s lagging by %.2f ms" % (self._process_name, -remaining * 1000))
      lagged = True
    self._frame += 1
    self._remaining = remaining
    return lagged
+
@@ -1,30 +0,0 @@
-import time
-import functools
-
-from openpilot.common.swaglog import cloudlog
-
-
-def retry(attempts=3, delay=1.0, ignore_failure=False):
-  def decorator(func):
-    @functools.wraps(func)
-    def wrapper(*args, **kwargs):
-      for _ in range(attempts):
-        try:
-          return func(*args, **kwargs)
-        except Exception:
-          cloudlog.exception(f"{func.__name__} failed, trying again")
-          time.sleep(delay)
-
-      if ignore_failure:
-        cloudlog.error(f"{func.__name__} failed after retry")
-      else:
-        raise Exception(f"{func.__name__} failed after retry")
-    return wrapper
-  return decorator
-
-
-if __name__ == "__main__":
-  @retry(attempts=10)
-  def abc():
-    raise ValueError("abc failed :(")
-  abc()
@@ -1,13 +0,0 @@
-import subprocess
-
-
-def run_cmd(cmd: list[str], cwd=None, env=None) -> str:
-  return subprocess.check_output(cmd, encoding='utf8', cwd=cwd, env=env).strip()
-
-
-def run_cmd_default(cmd: list[str], default: str = "", cwd=None, env=None) -> str:
-  try:
-    return run_cmd(cmd, cwd=cwd, env=env)
-  except subprocess.CalledProcessError:
-    return default
-
@@ -1,54 +0,0 @@
-import numpy as np
-
-
-def get_kalman_gain(dt, A, C, Q, R, iterations=100):
-  P = np.zeros_like(Q)
-  for _ in range(iterations):
-    P = A.dot(P).dot(A.T) + dt * Q
-    S = C.dot(P).dot(C.T) + R
-    K = P.dot(C.T).dot(np.linalg.inv(S))
-    P = (np.eye(len(P)) - K.dot(C)).dot(P)
-  return K
-
-
-class KF1D:
-  # this EKF assumes constant covariance matrix, so calculations are much simpler
-  # the Kalman gain also needs to be precomputed using the control module
-
-  def __init__(self, x0, A, C, K):
-    self.x0_0 = x0[0][0]
-    self.x1_0 = x0[1][0]
-    self.A0_0 = A[0][0]
-    self.A0_1 = A[0][1]
-    self.A1_0 = A[1][0]
-    self.A1_1 = A[1][1]
-    self.C0_0 = C[0]
-    self.C0_1 = C[1]
-    self.K0_0 = K[0][0]
-    self.K1_0 = K[1][0]
-
-    self.A_K_0 = self.A0_0 - self.K0_0 * self.C0_0
-    self.A_K_1 = self.A0_1 - self.K0_0 * self.C0_1
-    self.A_K_2 = self.A1_0 - self.K1_0 * self.C0_0
-    self.A_K_3 = self.A1_1 - self.K1_0 * self.C0_1
-
-    # K matrix needs to  be pre-computed as follow:
-    # import control
-    # (x, l, K) = control.dare(np.transpose(self.A), np.transpose(self.C), Q, R)
-    # self.K = np.transpose(K)
-
-  def update(self, meas):
-    #self.x = np.dot(self.A_K, self.x) + np.dot(self.K, meas)
-    x0_0 = self.A_K_0 * self.x0_0 + self.A_K_1 * self.x1_0 + self.K0_0 * meas
-    x1_0 = self.A_K_2 * self.x0_0 + self.A_K_3 * self.x1_0 + self.K1_0 * meas
-    self.x0_0 = x0_0
-    self.x1_0 = x1_0
-    return [self.x0_0, self.x1_0]
-
-  @property
-  def x(self):
-    return [[self.x0_0], [self.x1_0]]
-
-  def set_x(self, x):
-    self.x0_0 = x[0][0]
-    self.x1_0 = x[1][0]
@@ -1,52 +0,0 @@
-import os
-import subprocess
-from openpilot.common.basedir import BASEDIR
-
-
-class Spinner:
-  def __init__(self):
-    try:
-      self.spinner_proc = subprocess.Popen(["./spinner"],
-                                           stdin=subprocess.PIPE,
-                                           cwd=os.path.join(BASEDIR, "selfdrive", "ui"),
-                                           close_fds=True)
-    except OSError:
-      self.spinner_proc = None
-
-  def __enter__(self):
-    return self
-
-  def update(self, spinner_text: str):
-    if self.spinner_proc is not None:
-      self.spinner_proc.stdin.write(spinner_text.encode('utf8') + b"\n")
-      try:
-        self.spinner_proc.stdin.flush()
-      except BrokenPipeError:
-        pass
-
-  def update_progress(self, cur: float, total: float):
-    self.update(str(round(100 * cur / total)))
-
-  def close(self):
-    if self.spinner_proc is not None:
-      self.spinner_proc.kill()
-      try:
-        self.spinner_proc.communicate(timeout=2.)
-      except subprocess.TimeoutExpired:
-        print("WARNING: failed to kill spinner")
-      self.spinner_proc = None
-
-  def __del__(self):
-    self.close()
-
-  def __exit__(self, exc_type, exc_value, traceback):
-    self.close()
-
-
-if __name__ == "__main__":
-  import time
-  with Spinner() as s:
-    s.update("Spinner text")
-    time.sleep(5.0)
-  print("gone")
-  time.sleep(5.0)
@@ -1,73 +0,0 @@
-import numpy as np
-
-class RunningStat:
-  # tracks realtime mean and standard deviation without storing any data
-  def __init__(self, priors=None, max_trackable=-1):
-    self.max_trackable = max_trackable
-    if priors is not None:
-      # initialize from history
-      self.M = priors[0]
-      self.S = priors[1]
-      self.n = priors[2]
-      self.M_last = self.M
-      self.S_last = self.S
-
-    else:
-      self.reset()
-
-  def reset(self):
-    self.M = 0.
-    self.S = 0.
-    self.M_last = 0.
-    self.S_last = 0.
-    self.n = 0
-
-  def push_data(self, new_data):
-    # short term memory hack
-    if self.max_trackable < 0 or self.n < self.max_trackable:
-      self.n += 1
-    if self.n == 0:
-      self.M_last = new_data
-      self.M = self.M_last
-      self.S_last = 0.
-    else:
-      self.M = self.M_last + (new_data - self.M_last) / self.n
-      self.S = self.S_last + (new_data - self.M_last) * (new_data - self.M)
-      self.M_last = self.M
-      self.S_last = self.S
-
-  def mean(self):
-    return self.M
-
-  def variance(self):
-    if self.n >= 2:
-      return self.S / (self.n - 1.)
-    else:
-      return 0
-
-  def std(self):
-    return np.sqrt(self.variance())
-
-  def params_to_save(self):
-    return [self.M, self.S, self.n]
-
-class RunningStatFilter:
-  def __init__(self, raw_priors=None, filtered_priors=None, max_trackable=-1):
-    self.raw_stat = RunningStat(raw_priors, -1)
-    self.filtered_stat = RunningStat(filtered_priors, max_trackable)
-
-  def reset(self):
-    self.raw_stat.reset()
-    self.filtered_stat.reset()
-
-  def push_and_update(self, new_data):
-    _std_last = self.raw_stat.std()
-    self.raw_stat.push_data(new_data)
-    _delta_std = self.raw_stat.std() - _std_last
-    if _delta_std <= 0:
-      self.filtered_stat.push_data(new_data)
-    else:
-      pass
-      # self.filtered_stat.push_data(self.filtered_stat.mean())
-
-# class SequentialBayesian():
@@ -1,76 +0,0 @@
-#pragma once
-
-#include "common/timing.h"
-
-#define CLOUDLOG_DEBUG 10
-#define CLOUDLOG_INFO 20
-#define CLOUDLOG_WARNING 30
-#define CLOUDLOG_ERROR 40
-#define CLOUDLOG_CRITICAL 50
-
-
-#ifdef __GNUC__
-#define SWAG_LOG_CHECK_FMT(a, b) __attribute__ ((format (printf, a, b)))
-#else
-#define SWAG_LOG_CHECK_FMT(a, b)
-#endif
-
-void cloudlog_e(int levelnum, const char* filename, int lineno, const char* func,
-                const char* fmt, ...) SWAG_LOG_CHECK_FMT(5, 6);
-
-void cloudlog_te(int levelnum, const char* filename, int lineno, const char* func,
-                 const char* fmt, ...) SWAG_LOG_CHECK_FMT(5, 6);
-
-void cloudlog_te(int levelnum, const char* filename, int lineno, const char* func,
-                 uint32_t frame_id, const char* fmt, ...) SWAG_LOG_CHECK_FMT(6, 7);
-
-
-#define cloudlog(lvl, fmt, ...) cloudlog_e(lvl, __FILE__, __LINE__, \
-                                           __func__, \
-                                           fmt, ## __VA_ARGS__)
-
-#define cloudlog_t(lvl, ...) cloudlog_te(lvl, __FILE__, __LINE__, \
-                                          __func__, \
-                                          __VA_ARGS__)
-
-
-#define cloudlog_rl(burst, millis, lvl, fmt, ...)   \
-{                                                   \
-  static uint64_t __begin = 0;                      \
-  static int __printed = 0;                         \
-  static int __missed = 0;                          \
-                                                    \
-  int __burst = (burst);                            \
-  int __millis = (millis);                          \
-  uint64_t __ts = nanos_since_boot();               \
-                                                    \
-  if (!__begin) { __begin = __ts; }                 \
-                                                    \
-  if (__begin + __millis*1000000ULL < __ts) {       \
-    if (__missed) {                                 \
-      cloudlog(CLOUDLOG_WARNING, "cloudlog: %d messages suppressed", __missed); \
-    }                                               \
-    __begin = 0;                                    \
-    __printed = 0;                                  \
-    __missed = 0;                                   \
-  }                                                 \
-                                                    \
-  if (__printed < __burst) {                        \
-    cloudlog(lvl, fmt, ## __VA_ARGS__);             \
-    __printed++;                                    \
-  } else {                                          \
-    __missed++;                                     \
-  }                                                 \
-}
-
-
-#define LOGT(...) cloudlog_t(CLOUDLOG_DEBUG, __VA_ARGS__)
-#define LOGD(fmt, ...) cloudlog(CLOUDLOG_DEBUG, fmt, ## __VA_ARGS__)
-#define LOG(fmt, ...) cloudlog(CLOUDLOG_INFO, fmt, ## __VA_ARGS__)
-#define LOGW(fmt, ...) cloudlog(CLOUDLOG_WARNING, fmt, ## __VA_ARGS__)
-#define LOGE(fmt, ...) cloudlog(CLOUDLOG_ERROR, fmt, ## __VA_ARGS__)
-
-#define LOGD_100(fmt, ...) cloudlog_rl(2, 100, CLOUDLOG_DEBUG, fmt, ## __VA_ARGS__)
-#define LOG_100(fmt, ...) cloudlog_rl(2, 100, CLOUDLOG_INFO, fmt, ## __VA_ARGS__)
-#define LOGW_100(fmt, ...) cloudlog_rl(2, 100, CLOUDLOG_WARNING, fmt, ## __VA_ARGS__)
-#define LOGE_100(fmt, ...) cloudlog_rl(2, 100, CLOUDLOG_ERROR, fmt, ## __VA_ARGS__)
@@ -1,135 +0,0 @@
-import logging
-import os
-import time
-import warnings
-from pathlib import Path
-from logging.handlers import BaseRotatingHandler
-
-import zmq
-
-from openpilot.common.logging_extra import SwagLogger, SwagFormatter, SwagLogFileFormatter
-from openpilot.system.hardware.hw import Paths
-
-
-def get_file_handler():
-  Path(Paths.swaglog_root()).mkdir(parents=True, exist_ok=True)
-  base_filename = os.path.join(Paths.swaglog_root(), "swaglog")
-  handler = SwaglogRotatingFileHandler(base_filename)
-  return handler
-
-class SwaglogRotatingFileHandler(BaseRotatingHandler):
-  def __init__(self, base_filename, interval=60, max_bytes=1024*256, backup_count=2500, encoding=None):
-    super().__init__(base_filename, mode="a", encoding=encoding, delay=True)
-    self.base_filename = base_filename
-    self.interval = interval # seconds
-    self.max_bytes = max_bytes
-    self.backup_count = backup_count
-    self.log_files = self.get_existing_logfiles()
-    log_indexes = [f.split(".")[-1] for f in self.log_files]
-    self.last_file_idx = max([int(i) for i in log_indexes if i.isdigit()] or [-1])
-    self.last_rollover = None
-    self.doRollover()
-
-  def _open(self):
-    self.last_rollover = time.monotonic()
-    self.last_file_idx += 1
-    next_filename = f"{self.base_filename}.{self.last_file_idx:010}"
-    stream = open(next_filename, self.mode, encoding=self.encoding)
-    self.log_files.insert(0, next_filename)
-    return stream
-
-  def get_existing_logfiles(self):
-    log_files = list()
-    base_dir = os.path.dirname(self.base_filename)
-    for fn in os.listdir(base_dir):
-      fp = os.path.join(base_dir, fn)
-      if fp.startswith(self.base_filename) and os.path.isfile(fp):
-        log_files.append(fp)
-    return sorted(log_files)
-
-  def shouldRollover(self, record):
-    size_exceeded = self.max_bytes > 0 and self.stream.tell() >= self.max_bytes
-    time_exceeded = self.interval > 0 and self.last_rollover + self.interval <= time.monotonic()
-    return size_exceeded or time_exceeded
-
-  def doRollover(self):
-    if self.stream:
-      self.stream.close()
-    self.stream = self._open()
-
-    if self.backup_count > 0:
-      while len(self.log_files) > self.backup_count:
-        to_delete = self.log_files.pop()
-        if os.path.exists(to_delete): # just being safe, should always exist
-          os.remove(to_delete)
-
-class UnixDomainSocketHandler(logging.Handler):
-  def __init__(self, formatter):
-    logging.Handler.__init__(self)
-    self.setFormatter(formatter)
-    self.pid = None
-
-    self.zctx = None
-    self.sock = None
-
-  def __del__(self):
-    self.close()
-
-  def close(self):
-    if self.sock is not None:
-      self.sock.close()
-    if self.zctx is not None:
-      self.zctx.term()
-
-  def connect(self):
-    self.zctx = zmq.Context()
-    self.sock = self.zctx.socket(zmq.PUSH)
-    self.sock.setsockopt(zmq.LINGER, 10)
-    self.sock.connect(Paths.swaglog_ipc())
-    self.pid = os.getpid()
-
-  def emit(self, record):
-    if os.getpid() != self.pid:
-      # TODO suppresses warning about forking proc with zmq socket, fix root cause
-      warnings.filterwarnings("ignore", category=ResourceWarning, message="unclosed.*<zmq.*>")
-      self.connect()
-
-    msg = self.format(record).rstrip('\n')
-    # print("SEND".format(repr(msg)))
-    try:
-      s = chr(record.levelno)+msg
-      self.sock.send(s.encode('utf8'), zmq.NOBLOCK)
-    except zmq.error.Again:
-      # drop :/
-      pass
-
-
-def add_file_handler(log):
-  """
-  Function to add the file log handler to swaglog.
-  This can be used to store logs when logmessaged is not running.
-  """
-  handler = get_file_handler()
-  handler.setFormatter(SwagLogFileFormatter(log))
-  log.addHandler(handler)
-
-
-cloudlog = log = SwagLogger()
-log.setLevel(logging.DEBUG)
-
-
-outhandler = logging.StreamHandler()
-
-print_level = os.environ.get('LOGPRINT', 'warning')
-if print_level == 'debug':
-  outhandler.setLevel(logging.DEBUG)
-elif print_level == 'info':
-  outhandler.setLevel(logging.INFO)
-elif print_level == 'warning':
-  outhandler.setLevel(logging.WARNING)
-
-ipchandler = UnixDomainSocketHandler(SwagFormatter(log))
-
-log.addHandler(outhandler)
-# logs are sent through IPC before writing to disk to prevent disk I/O blocking
-log.addHandler(ipchandler)
@@ -0,0 +1,9 @@
+import os
+from nose.tools import nottest
+
+def phone_only(x):
+  if os.path.isfile("/init.qcom.rc"):
+    return x
+  else:
+    return nottest(x)
+
@@ -1,63 +0,0 @@
-#!/usr/bin/env python3
-import os
-import time
-import subprocess
-from openpilot.common.basedir import BASEDIR
-
-
-class TextWindow:
-  def __init__(self, text):
-    try:
-      self.text_proc = subprocess.Popen(["./text", text],
-                                        stdin=subprocess.PIPE,
-                                        cwd=os.path.join(BASEDIR, "selfdrive", "ui"),
-                                        close_fds=True)
-    except OSError:
-      self.text_proc = None
-
-  def get_status(self):
-    if self.text_proc is not None:
-      self.text_proc.poll()
-      return self.text_proc.returncode
-    return None
-
-  def __enter__(self):
-    return self
-
-  def close(self):
-    if self.text_proc is not None:
-      self.text_proc.terminate()
-      self.text_proc = None
-
-  def wait_for_exit(self):
-    if self.text_proc is not None:
-      while True:
-        if self.get_status() == 1:
-          return
-        time.sleep(0.1)
-
-  def __del__(self):
-    self.close()
-
-  def __exit__(self, exc_type, exc_value, traceback):
-    self.close()
-
-
-if __name__ == "__main__":
-  text = """Traceback (most recent call last):
-  File "./controlsd.py", line 608, in <module>
-    main()
-  File "./controlsd.py", line 604, in main
-    controlsd_thread(sm, pm, logcan)
-  File "./controlsd.py", line 455, in controlsd_thread
-    1/0
-ZeroDivisionError: division by zero"""
-  print(text)
-
-  with TextWindow(text) as s:
-    for _ in range(100):
-      if s.get_status() == 1:
-        print("Got exit button")
-        break
-      time.sleep(0.1)
-  print("gone")
@@ -1,19 +0,0 @@
-import ctypes
-import os
-
-LINUX = os.name == 'posix' and os.uname().sysname == 'Linux'
-
-if LINUX:
-  libc = ctypes.CDLL('libc.so.6')
-
-def setthreadname(name: str) -> None:
-  if LINUX:
-    name = name[-15:] + '\0'
-    libc.prctl(15, str.encode(name), 0, 0, 0)
-
-def getthreadname() -> str:
-  if LINUX:
-    name = ctypes.create_string_buffer(16)
-    libc.prctl(16, name)
-    return name.value.decode('utf-8')
-  return ""
@@ -1,15 +0,0 @@
-import datetime
-from pathlib import Path
-
-_MIN_DATE = datetime.datetime(year=2024, month=3, day=30)
-
-def min_date():
-  # on systemd systems, the default time is the systemd build time
-  systemd_path = Path("/lib/systemd/systemd")
-  if systemd_path.exists():
-    d = datetime.datetime.fromtimestamp(systemd_path.stat().st_mtime)
-    return d + datetime.timedelta(days=1)
-  return _MIN_DATE
-
-def system_time_valid():
-  return datetime.datetime.now() > min_date()
@@ -1,27 +0,0 @@
-import signal
-
-class TimeoutException(Exception):
-  pass
-
-class Timeout:
-  """
-  Timeout context manager.
-  For example this code will raise a TimeoutException:
-  with Timeout(seconds=5, error_msg="Sleep was too long"):
-    time.sleep(10)
-  """
-  def __init__(self, seconds, error_msg=None):
-    if error_msg is None:
-      error_msg = f'Timed out after {seconds} seconds'
-    self.seconds = seconds
-    self.error_msg = error_msg
-
-  def handle_timeout(self, signume, frame):
-    raise TimeoutException(self.error_msg)
-
-  def __enter__(self):
-    signal.signal(signal.SIGALRM, self.handle_timeout)
-    signal.alarm(self.seconds)
-
-  def __exit__(self, exc_type, exc_val, exc_tb):
-    signal.alarm(0)
@@ -1,51 +0,0 @@
-#pragma once
-
-#include <cstdint>
-#include <ctime>
-
-#ifdef __APPLE__
-#define CLOCK_BOOTTIME CLOCK_MONOTONIC
-#endif
-
-static inline uint64_t nanos_since_boot() {
-  struct timespec t;
-  clock_gettime(CLOCK_BOOTTIME, &t);
-  return t.tv_sec * 1000000000ULL + t.tv_nsec;
-}
-
-static inline double millis_since_boot() {
-  struct timespec t;
-  clock_gettime(CLOCK_BOOTTIME, &t);
-  return t.tv_sec * 1000.0 + t.tv_nsec * 1e-6;
-}
-
-static inline double seconds_since_boot() {
-  struct timespec t;
-  clock_gettime(CLOCK_BOOTTIME, &t);
-  return (double)t.tv_sec + t.tv_nsec * 1e-9;
-}
-
-static inline uint64_t nanos_since_epoch() {
-  struct timespec t;
-  clock_gettime(CLOCK_REALTIME, &t);
-  return t.tv_sec * 1000000000ULL + t.tv_nsec;
-}
-
-static inline double seconds_since_epoch() {
-  struct timespec t;
-  clock_gettime(CLOCK_REALTIME, &t);
-  return (double)t.tv_sec + t.tv_nsec * 1e-9;
-}
-
-// you probably should use nanos_since_boot instead
-static inline uint64_t nanos_monotonic() {
-  struct timespec t;
-  clock_gettime(CLOCK_MONOTONIC, &t);
-  return t.tv_sec * 1000000000ULL + t.tv_nsec;
-}
-
-static inline uint64_t nanos_monotonic_raw() {
-  struct timespec t;
-  clock_gettime(CLOCK_MONOTONIC_RAW, &t);
-  return t.tv_sec * 1000000000ULL + t.tv_nsec;
-}
@@ -1,2 +0,0 @@
-transformations
-transformations.cpp
@@ -1,70 +0,0 @@
-
-Reference Frames
------
-Many reference frames are used throughout. This
-folder contains all helper functions needed to
-transform between them. Generally this is done
-by generating a rotation matrix and multiplying.
-
-
-| Name | [x, y, z] | Units | Notes |
-| :-------------: |:-------------:| :-----:| :----: |
-| Geodetic | [Latitude, Longitude, Altitude] | geodetic coordinates | Sometimes used as [lon, lat, alt], avoid this frame. |
-| ECEF | [x, y, z] | meters | We use **ITRF14 (IGS14)**, NOT NAD83. <br> This is the global Mesh3D frame. |
-| NED | [North, East, Down] | meters | Relative to earth's surface, useful for visualizing. |
-| Device | [Forward, Right, Down] | meters | This is the Mesh3D local frame. <br> Relative to camera, **not imu.** <br> ![img](http://upload.wikimedia.org/wikipedia/commons/thumb/2/2f/RPY_angles_of_airplanes.png/440px-RPY_angles_of_airplanes.png)|
-| Calibrated | [Forward, Right, Down] | meters | This is the frame the model outputs are in. <br> More details below. <br>|
-| Car | [Forward, Right, Down] | meters | This is useful for estimating position of points on the road. <br> More details below. <br>|
-| View | [Right, Down, Forward] | meters | Like device frame, but according to camera conventions. |
-| Camera | [u, v, focal] | pixels | Like view frame, but 2d on the camera image.|
-| Normalized Camera | [u / focal, v / focal, 1] | / | |
-| Model | [u, v, focal] | pixels | The sampled rectangle of the full camera frame the model uses. |
-| Normalized Model | [u / focal, v / focal, 1] | / | |
-
-
-
-
-Orientation Conventions
------
-Quaternions, rotation matrices and euler angles are three
-equivalent representations of orientation and all three are
-used throughout the code base.
-
-For euler angles the preferred convention is [roll, pitch, yaw]
-which corresponds to rotations around the [x, y, z] axes. All
-euler angles should always be in radians or radians/s unless
-for plotting or display purposes. For quaternions the hamilton
-notations is preferred which is [q<sub>w</sub>, q<sub>x</sub>, q<sub>y</sub>, q<sub>z</sub>]. All quaternions
-should always be normalized with a strictly positive q<sub>w</sub>. **These
-quaternions are a unique representation of orientation whereas euler angles
-or rotation matrices are not.**
-
-To rotate from one frame into another with euler angles the
-convention is to rotate around roll, then pitch and then yaw,
-while rotating around the rotated axes, not the original axes.
-
-
-Car frame
------
-Device frame is aligned with the road-facing camera used by openpilot. However, when controlling the vehicle it is helpful to think in a reference frame aligned with the vehicle. These two reference frames can be different.
-
-The orientation of car frame is defined to be aligned with the car's direction of travel and the road plane when the vehicle is driving on a flat road and not turning. The origin of car frame is defined to be directly below device frame (in car frame), such that it is on the road plane. The position and orientation of this frame is not necessarily always aligned with the direction of travel or the road plane due to suspension movements and other effects.
-
-
-Calibrated frame
------
-It is helpful for openpilot's driving model to take in images that look similar when mounted differently in different cars. To achieve this we "calibrate" the images by transforming it into calibrated frame. Calibrated frame is defined to be aligned with car frame in pitch and yaw, and aligned with device frame in roll. It also has the same origin as device frame.
-
-
-Example
------
-To transform global Mesh3D positions and orientations (positions_ecef, quats_ecef) into the local frame described by the
-first position and orientation from Mesh3D one would do:
-```
-ecef_from_local = rot_from_quat(quats_ecef[0])
-local_from_ecef = ecef_from_local.T
-positions_local = np.einsum('ij,kj->ki', local_from_ecef, postions_ecef - positions_ecef[0])
-rotations_global = rot_from_quat(quats_ecef)
-rotations_local = np.einsum('ij,kjl->kil', local_from_ecef, rotations_global)
-eulers_local = euler_from_rot(rotations_local)
-```
@@ -1,74 +1,19 @@
-import itertools
 import numpy as np
-from dataclasses import dataclass
+import common.transformations.orientation as orient

-import openpilot.common.transformations.orientation as orient
+FULL_FRAME_SIZE = (1164, 874)
+W, H = FULL_FRAME_SIZE[0], FULL_FRAME_SIZE[1]
+eon_focal_length = FOCAL = 910.0

-## -- hardcoded hardware params --
-@dataclass(frozen=True)
-class CameraConfig:
-  width: int
-  height: int
-  focal_length: float
+# aka 'K' aka camera_frame_from_view_frame
+eon_intrinsics = np.array([
+  [FOCAL,   0.,   W/2.],
+  [  0.,  FOCAL,  H/2.],
+  [  0.,    0.,     1.]])

-  @property
-  def size(self):
-    return (self.width, self.height)
+# aka 'K_inv' aka view_frame_from_camera_frame
+eon_intrinsics_inv = np.linalg.inv(eon_intrinsics)

-  @property
-  def intrinsics(self):
-    # aka 'K' aka camera_frame_from_view_frame
-    return np.array([
-      [self.focal_length,  0.0, float(self.width)/2],
-      [0.0, self.focal_length, float(self.height)/2],
-      [0.0,  0.0, 1.0]
-    ])
-
-  @property
-  def intrinsics_inv(self):
-    # aka 'K_inv' aka view_frame_from_camera_frame
-    return np.linalg.inv(self.intrinsics)
-
-@dataclass(frozen=True)
-class _NoneCameraConfig(CameraConfig):
-  width: int = 0
-  height: int = 0
-  focal_length: float = 0
-
-@dataclass(frozen=True)
-class DeviceCameraConfig:
-  fcam: CameraConfig
-  dcam: CameraConfig
-  ecam: CameraConfig
-
-  def all_cams(self):
-    for cam in ['fcam', 'dcam', 'ecam']:
-      if not isinstance(getattr(self, cam), _NoneCameraConfig):
-        yield cam, getattr(self, cam)
-
-_ar_ox_fisheye = CameraConfig(1928, 1208, 567.0)  # focal length probably wrong? magnification is not consistent across frame
-_os_fisheye = CameraConfig(2688 // 2, 1520 // 2, 567.0 / 4 * 3)
-_ar_ox_config = DeviceCameraConfig(CameraConfig(1928, 1208, 2648.0), _ar_ox_fisheye, _ar_ox_fisheye)
-_os_config = DeviceCameraConfig(CameraConfig(2688 // 2, 1520 // 2, 1522.0 * 3 / 4), _os_fisheye, _os_fisheye)
-_neo_config = DeviceCameraConfig(CameraConfig(1164, 874, 910.0), CameraConfig(816, 612, 650.0), _NoneCameraConfig())
-
-DEVICE_CAMERAS = {
-  # A "device camera" is defined by a device type and sensor
-
-  # sensor type was never set on eon/neo/two
-  ("neo", "unknown"): _neo_config,
-  # unknown here is AR0231, field was added with OX03C10 support
-  ("tici", "unknown"): _ar_ox_config,
-
-  # before deviceState.deviceType was set, assume tici AR config
-  ("unknown", "ar0231"): _ar_ox_config,
-  ("unknown", "ox03c10"): _ar_ox_config,
-
-  # simulator (emulates a tici)
-  ("pc", "unknown"): _ar_ox_config,
-}
-prods = itertools.product(('tici', 'tizi', 'mici'), (('ar0231', _ar_ox_config), ('ox03c10', _ar_ox_config), ('os04c10', _os_config)))
-DEVICE_CAMERAS.update({(d, c[0]): c[1] for d, c in prods})

 # device/mesh : x->forward, y-> right, z->down
 # view : x->right, y->down, z->forward
@@ -80,22 +25,29 @@ device_frame_from_view_frame = np.array([
 view_frame_from_device_frame = device_frame_from_view_frame.T


+def get_calib_from_vp(vp):
+  vp_norm = normalize(vp)
+  yaw_calib = np.arctan(vp_norm[0])
+  pitch_calib = np.arctan(vp_norm[1]*np.cos(yaw_calib))
+  # TODO should be, this but written
+  # to be compatible with meshcalib and
+  # get_view_frame_from_road_fram
+  #pitch_calib = -np.arctan(vp_norm[1]*np.cos(yaw_calib))
+  roll_calib = 0
+  return roll_calib, pitch_calib, yaw_calib
+
 # aka 'extrinsic_matrix'
 # road : x->forward, y -> left, z->up
 def get_view_frame_from_road_frame(roll, pitch, yaw, height):
+  # TODO
+  # calibration pitch is currently defined
+  # opposite to pitch in device frame
+  pitch = -pitch
  device_from_road = orient.rot_from_euler([roll, pitch, yaw]).dot(np.diag([1, -1, -1]))
  view_from_road = view_frame_from_device_frame.dot(device_from_road)
  return np.hstack((view_from_road, [[0], [height], [0]]))


-
-# aka 'extrinsic_matrix'
-def get_view_frame_from_calib_frame(roll, pitch, yaw, height):
-  device_from_calib= orient.rot_from_euler([roll, pitch, yaw])
-  view_from_calib = view_frame_from_device_frame.dot(device_from_calib)
-  return np.hstack((view_from_calib, [[0], [height], [0]]))
-
-
 def vp_from_ke(m):
  """
  Computes the vanishing point from the product of the intrinsic and extrinsic
@@ -103,52 +55,37 @@ def vp_from_ke(m):

  The vanishing point is defined as lim x->infinity C (x, 0, 0, 1).T
  """
-  return (m[0, 0]/m[2, 0], m[1, 0]/m[2, 0])
-
+  return (m[0, 0]/m[2,0], m[1,0]/m[2,0])

 def roll_from_ke(m):
  # note: different from calibration.h/RollAnglefromKE: i think that one's just wrong
  return np.arctan2(-(m[1, 0] - m[1, 1] * m[2, 0] / m[2, 1]),
                    -(m[0, 0] - m[0, 1] * m[2, 0] / m[2, 1]))

-
-def normalize(img_pts, intrinsics):
+def normalize(img_pts):
  # normalizes image coordinates
  # accepts single pt or array of pts
-  intrinsics_inv = np.linalg.inv(intrinsics)
  img_pts = np.array(img_pts)
  input_shape = img_pts.shape
  img_pts = np.atleast_2d(img_pts)
-  img_pts = np.hstack((img_pts, np.ones((img_pts.shape[0], 1))))
-  img_pts_normalized = img_pts.dot(intrinsics_inv.T)
+  img_pts = np.hstack((img_pts, np.ones((img_pts.shape[0],1))))
+  img_pts_normalized = eon_intrinsics_inv.dot(img_pts.T).T
  img_pts_normalized[(img_pts < 0).any(axis=1)] = np.nan
-  return img_pts_normalized[:, :2].reshape(input_shape)
+  return img_pts_normalized[:,:2].reshape(input_shape)

-
-def denormalize(img_pts, intrinsics, width=np.inf, height=np.inf):
+def denormalize(img_pts):
  # denormalizes image coordinates
  # accepts single pt or array of pts
  img_pts = np.array(img_pts)
  input_shape = img_pts.shape
  img_pts = np.atleast_2d(img_pts)
-  img_pts = np.hstack((img_pts, np.ones((img_pts.shape[0], 1), dtype=img_pts.dtype)))
-  img_pts_denormalized = img_pts.dot(intrinsics.T)
-  if np.isfinite(width):
-    img_pts_denormalized[img_pts_denormalized[:, 0] > width] = np.nan
-    img_pts_denormalized[img_pts_denormalized[:, 0] < 0] = np.nan
-  if np.isfinite(height):
-    img_pts_denormalized[img_pts_denormalized[:, 1] > height] = np.nan
-    img_pts_denormalized[img_pts_denormalized[:, 1] < 0] = np.nan
-  return img_pts_denormalized[:, :2].reshape(input_shape)
-
-
-def get_calib_from_vp(vp, intrinsics):
-  vp_norm = normalize(vp, intrinsics)
-  yaw_calib = np.arctan(vp_norm[0])
-  pitch_calib = -np.arctan(vp_norm[1]*np.cos(yaw_calib))
-  roll_calib = 0
-  return roll_calib, pitch_calib, yaw_calib
-
+  img_pts = np.hstack((img_pts, np.ones((img_pts.shape[0],1))))
+  img_pts_denormalized = eon_intrinsics.dot(img_pts.T).T
+  img_pts_denormalized[img_pts_denormalized[:,0] > W] = np.nan
+  img_pts_denormalized[img_pts_denormalized[:,0] < 0] = np.nan
+  img_pts_denormalized[img_pts_denormalized[:,1] > H] = np.nan
+  img_pts_denormalized[img_pts_denormalized[:,1] < 0] = np.nan
+  return img_pts_denormalized[:,:2].reshape(input_shape)

 def device_from_ecef(pos_ecef, orientation_ecef, pt_ecef):
  # device from ecef frame
@@ -162,7 +99,6 @@ def device_from_ecef(pos_ecef, orientation_ecef, pt_ecef):
  pt_device = np.einsum('jk,ik->ij', device_from_ecef_rot, pt_ecef_rel)
  return pt_device.reshape(input_shape)

-
 def img_from_device(pt_device):
  # img coordinates from pts in device frame
  # first transforms to view frame, then to img coords
@@ -172,8 +108,8 @@ def img_from_device(pt_device):
  pt_view = np.einsum('jk,ik->ij', view_frame_from_device_frame, pt_device)

  # This function should never return negative depths
-  pt_view[pt_view[:, 2] < 0] = np.nan
+  pt_view[pt_view[:,2] < 0] = np.nan

-  pt_img = pt_view/pt_view[:, 2:3]
-  return pt_img.reshape(input_shape)[:, :2]
+  pt_img = pt_view/pt_view[:,2:3]
+  return pt_img.reshape(input_shape)[:,:2]

@@ -1,43 +0,0 @@
-#pragma once
-
-#include <eigen3/Eigen/Dense>
-
-#define DEG2RAD(x) ((x) * M_PI / 180.0)
-#define RAD2DEG(x) ((x) * 180.0 / M_PI)
-
-struct ECEF {
-  double x, y, z;
-  Eigen::Vector3d to_vector(){
-    return Eigen::Vector3d(x, y, z);
-  }
-};
-
-struct NED {
-  double n, e, d;
-  Eigen::Vector3d to_vector(){
-    return Eigen::Vector3d(n, e, d);
-  }
-};
-
-struct Geodetic {
-  double lat, lon, alt;
-  bool radians=false;
-};
-
-ECEF geodetic2ecef(Geodetic g);
-Geodetic ecef2geodetic(ECEF e);
-
-class LocalCoord {
-public:
-  Eigen::Matrix3d ned2ecef_matrix;
-  Eigen::Matrix3d ecef2ned_matrix;
-  Eigen::Vector3d init_ecef;
-  LocalCoord(Geodetic g, ECEF e);
-  LocalCoord(Geodetic g) : LocalCoord(g, ::geodetic2ecef(g)) {}
-  LocalCoord(ECEF e) : LocalCoord(::ecef2geodetic(e), e) {}
-
-  NED ecef2ned(ECEF e);
-  ECEF ned2ecef(NED n);
-  NED geodetic2ned(Geodetic g);
-  Geodetic ned2geodetic(NED n);
-};
@@ -1,18 +1,108 @@
-from openpilot.common.transformations.orientation import numpy_wrap
-from openpilot.common.transformations.transformations import (ecef2geodetic_single,
-                                                    geodetic2ecef_single)
-from openpilot.common.transformations.transformations import LocalCoord as LocalCoord_single
+import numpy as np
+"""
+Coordinate transformation module. All methods accept arrays as input
+with each row as a position.
+"""


-class LocalCoord(LocalCoord_single):
-  ecef2ned = numpy_wrap(LocalCoord_single.ecef2ned_single, (3,), (3,))
-  ned2ecef = numpy_wrap(LocalCoord_single.ned2ecef_single, (3,), (3,))
-  geodetic2ned = numpy_wrap(LocalCoord_single.geodetic2ned_single, (3,), (3,))
-  ned2geodetic = numpy_wrap(LocalCoord_single.ned2geodetic_single, (3,), (3,))
+
+a = 6378137
+b = 6356752.3142
+esq = 6.69437999014 * 0.001
+e1sq = 6.73949674228 * 0.001


-geodetic2ecef = numpy_wrap(geodetic2ecef_single, (3,), (3,))
-ecef2geodetic = numpy_wrap(ecef2geodetic_single, (3,), (3,))
+def geodetic2ecef(geodetic, radians=False):
+  geodetic = np.array(geodetic)
+  input_shape = geodetic.shape
+  geodetic = np.atleast_2d(geodetic)

-geodetic_from_ecef = ecef2geodetic
-ecef_from_geodetic = geodetic2ecef
+  ratio = 1.0 if radians else (np.pi / 180.0)
+  lat = ratio*geodetic[:,0]
+  lon = ratio*geodetic[:,1]
+  alt = geodetic[:,2]
+
+  xi = np.sqrt(1 - esq * np.sin(lat)**2)
+  x = (a / xi + alt) * np.cos(lat) * np.cos(lon)
+  y = (a / xi + alt) * np.cos(lat) * np.sin(lon)
+  z = (a / xi * (1 - esq) + alt) * np.sin(lat)
+  ecef = np.array([x, y, z]).T
+  return ecef.reshape(input_shape)
+
+
+def ecef2geodetic(ecef, radians=False):
+  """
+  Convert ECEF coordinates to geodetic using ferrari's method
+  """
+  # Save shape and export column
+  ecef = np.atleast_1d(ecef)
+  input_shape = ecef.shape
+  ecef = np.atleast_2d(ecef)
+  x, y, z = ecef[:, 0], ecef[:, 1], ecef[:, 2]
+
+  ratio = 1.0 if radians else (180.0 / np.pi)
+
+  # Conver from ECEF to geodetic using Ferrari's methods
+  # https://en.wikipedia.org/wiki/Geographic_coordinate_conversion#Ferrari.27s_solution
+  r = np.sqrt(x * x + y * y)
+  Esq = a * a - b * b
+  F = 54 * b * b * z * z
+  G = r * r + (1 - esq) * z * z - esq * Esq
+  C = (esq * esq * F * r * r) / (pow(G, 3))
+  S = np.cbrt(1 + C + np.sqrt(C * C + 2 * C))
+  P = F / (3 * pow((S + 1 / S + 1), 2) * G * G)
+  Q = np.sqrt(1 + 2 * esq * esq * P)
+  r_0 =  -(P * esq * r) / (1 + Q) + np.sqrt(0.5 * a * a*(1 + 1.0 / Q) - \
+        P * (1 - esq) * z * z / (Q * (1 + Q)) - 0.5 * P * r * r)
+  U = np.sqrt(pow((r - esq * r_0), 2) + z * z)
+  V = np.sqrt(pow((r - esq * r_0), 2) + (1 - esq) * z * z)
+  Z_0 = b * b * z / (a * V)
+  h = U * (1 - b * b / (a * V))
+  lat = ratio*np.arctan((z + e1sq * Z_0) / r)
+  lon = ratio*np.arctan2(y, x)
+
+  # stack the new columns and return to the original shape
+  geodetic = np.column_stack((lat, lon, h))
+  return geodetic.reshape(input_shape)
+
+class LocalCoord(object):
+  """
+   Allows conversions to local frames. In this case NED.
+   That is: North East Down from the start position in
+   meters.
+  """
+  def __init__(self, init_geodetic, init_ecef):
+    self.init_ecef = init_ecef
+    lat, lon, _ = (np.pi/180)*np.array(init_geodetic)
+    self.ned2ecef_matrix = np.array([[-np.sin(lat)*np.cos(lon), -np.sin(lon), -np.cos(lat)*np.cos(lon)],
+                                     [-np.sin(lat)*np.sin(lon), np.cos(lon), -np.cos(lat)*np.sin(lon)],
+                                     [np.cos(lat), 0, -np.sin(lat)]])
+    self.ecef2ned_matrix = self.ned2ecef_matrix.T
+
+  @classmethod
+  def from_geodetic(cls, init_geodetic):
+    init_ecef = geodetic2ecef(init_geodetic)
+    return LocalCoord(init_geodetic, init_ecef)
+
+  @classmethod
+  def from_ecef(cls, init_ecef):
+    init_geodetic = ecef2geodetic(init_ecef)
+    return LocalCoord(init_geodetic, init_ecef)
+
+
+  def ecef2ned(self, ecef):
+    ecef = np.array(ecef)
+    return np.dot(self.ecef2ned_matrix, (ecef - self.init_ecef).T).T
+
+  def ned2ecef(self, ned):
+    ned = np.array(ned)
+    # Transpose so that init_ecef will broadcast correctly for 1d or 2d ned.
+    return (np.dot(self.ned2ecef_matrix, ned.T).T + self.init_ecef)
+
+  def geodetic2ned(self, geodetic):
+    ecef = geodetic2ecef(geodetic)
+    return self.ecef2ned(ecef)
+
+  def ned2geodetic(self, ned):
+    ecef = self.ned2ecef(ned)
+    return ecef2geodetic(ecef)
@@ -1,63 +1,112 @@
 import numpy as np

-from openpilot.common.transformations.orientation import rot_from_euler
-from openpilot.common.transformations.camera import get_view_frame_from_calib_frame, view_frame_from_device_frame
+from common.transformations.camera import eon_focal_length, \
+	vp_from_ke, \
+	get_view_frame_from_road_frame, \
+	FULL_FRAME_SIZE

 # segnet
+
 SEGNET_SIZE = (512, 384)

-# MED model
-MEDMODEL_INPUT_SIZE = (512, 256)
-MEDMODEL_YUV_SIZE = (MEDMODEL_INPUT_SIZE[0], MEDMODEL_INPUT_SIZE[1] * 3 // 2)
-MEDMODEL_CY = 47.6
+segnet_frame_from_camera_frame = np.array([
+  [float(SEGNET_SIZE[0])/FULL_FRAME_SIZE[0],    0.,          ],
+  [     0.,          float(SEGNET_SIZE[1])/FULL_FRAME_SIZE[1]]])

-medmodel_fl = 910.0
-medmodel_intrinsics = np.array([
-  [medmodel_fl,  0.0,  0.5 * MEDMODEL_INPUT_SIZE[0]],
-  [0.0,  medmodel_fl,                   MEDMODEL_CY],
-  [0.0,  0.0,                                   1.0]])
+
+# model
+
+MODEL_INPUT_SIZE = (320, 160)
+MODEL_YUV_SIZE = (MODEL_INPUT_SIZE[0], MODEL_INPUT_SIZE[1] * 3 // 2)
+MODEL_CX = MODEL_INPUT_SIZE[0]/2.
+MODEL_CY = 21.
+
+model_zoom = 1.25
+model_height = 1.22
+
+# canonical model transform
+model_intrinsics = np.array(
+  [[ eon_focal_length / model_zoom,    0. ,  MODEL_CX],
+   [   0. ,  eon_focal_length / model_zoom,  MODEL_CY],
+   [   0. ,                            0. ,   1.]])


 # BIG model
-BIGMODEL_INPUT_SIZE = (1024, 512)
+
+BIGMODEL_INPUT_SIZE = (864, 288)
 BIGMODEL_YUV_SIZE = (BIGMODEL_INPUT_SIZE[0], BIGMODEL_INPUT_SIZE[1] * 3 // 2)

-bigmodel_fl = 910.0
-bigmodel_intrinsics = np.array([
-  [bigmodel_fl,  0.0,  0.5 * BIGMODEL_INPUT_SIZE[0]],
-  [0.0,  bigmodel_fl,             256 + MEDMODEL_CY],
-  [0.0,  0.0,                                   1.0]])
+bigmodel_zoom = 1.
+bigmodel_intrinsics = np.array(
+  [[ eon_focal_length / bigmodel_zoom,    0. , 0.5 * BIGMODEL_INPUT_SIZE[0]],
+   [   0. ,  eon_focal_length / bigmodel_zoom,  0.2 * BIGMODEL_INPUT_SIZE[1]],
+   [   0. ,                            0. ,   1.]])


-# SBIG model (big model with the size of small model)
-SBIGMODEL_INPUT_SIZE = (512, 256)
-SBIGMODEL_YUV_SIZE = (SBIGMODEL_INPUT_SIZE[0], SBIGMODEL_INPUT_SIZE[1] * 3 // 2)
-
-sbigmodel_fl = 455.0
-sbigmodel_intrinsics = np.array([
-  [sbigmodel_fl,  0.0,  0.5 * SBIGMODEL_INPUT_SIZE[0]],
-  [0.0,  sbigmodel_fl,      0.5 * (256 + MEDMODEL_CY)],
-  [0.0,  0.0,                                     1.0]])
-
-bigmodel_frame_from_calib_frame = np.dot(bigmodel_intrinsics,
-  get_view_frame_from_calib_frame(0, 0, 0, 0))
+bigmodel_border = np.array([
+    [0,0,1],
+    [BIGMODEL_INPUT_SIZE[0], 0, 1],
+    [BIGMODEL_INPUT_SIZE[0], BIGMODEL_INPUT_SIZE[1], 1],
+    [0, BIGMODEL_INPUT_SIZE[1], 1],
+])


-sbigmodel_frame_from_calib_frame = np.dot(sbigmodel_intrinsics,
-  get_view_frame_from_calib_frame(0, 0, 0, 0))
+model_frame_from_road_frame = np.dot(model_intrinsics,
+  get_view_frame_from_road_frame(0, 0, 0, model_height))

-medmodel_frame_from_calib_frame = np.dot(medmodel_intrinsics,
-  get_view_frame_from_calib_frame(0, 0, 0, 0))
+bigmodel_frame_from_road_frame = np.dot(bigmodel_intrinsics,
+  get_view_frame_from_road_frame(0, 0, 0, model_height))

-medmodel_frame_from_bigmodel_frame = np.dot(medmodel_intrinsics, np.linalg.inv(bigmodel_intrinsics))
+# 'camera from model camera'
+def get_model_height_transform(camera_frame_from_road_frame, height):
+  camera_frame_from_road_ground = np.dot(camera_frame_from_road_frame, np.array([
+      [1, 0, 0],
+      [0, 1, 0],
+      [0, 0, 0],
+      [0, 0, 1],
+  ]))

-calib_from_medmodel = np.linalg.inv(medmodel_frame_from_calib_frame[:, :3])
-calib_from_sbigmodel = np.linalg.inv(sbigmodel_frame_from_calib_frame[:, :3])
+  camera_frame_from_road_high = np.dot(camera_frame_from_road_frame, np.array([
+      [1, 0, 0],
+      [0, 1, 0],
+      [0, 0, height - model_height],
+      [0, 0, 1],
+  ]))

-# This function is verified to give similar results to xx.uncommon.utils.transform_img
-def get_warp_matrix(device_from_calib_euler: np.ndarray, intrinsics: np.ndarray, bigmodel_frame: bool = False) -> np.ndarray:
-  calib_from_model = calib_from_sbigmodel if bigmodel_frame else calib_from_medmodel
-  device_from_calib = rot_from_euler(device_from_calib_euler)
-  camera_from_calib = intrinsics @ view_frame_from_device_frame @ device_from_calib
-  warp_matrix: np.ndarray = camera_from_calib @ calib_from_model
-  return warp_matrix
+  ground_from_camera_frame = np.linalg.inv(camera_frame_from_road_ground)
+
+  low_camera_from_high_camera = np.dot(camera_frame_from_road_high, ground_from_camera_frame)
+  high_camera_from_low_camera = np.linalg.inv(low_camera_from_high_camera)
+
+  return high_camera_from_low_camera
+
+
+# camera_frame_from_model_frame aka 'warp matrix'
+# was: calibration.h/CalibrationTransform
+def get_camera_frame_from_model_frame(camera_frame_from_road_frame, height):
+  vp = vp_from_ke(camera_frame_from_road_frame)
+
+  model_camera_from_model_frame = np.array([
+    [model_zoom,         0., vp[0] - MODEL_CX * model_zoom],
+    [        0., model_zoom, vp[1] - MODEL_CY * model_zoom],
+    [        0.,         0.,                            1.],
+  ])
+
+  # This function is super slow, so skip it if height is very close to canonical
+  # TODO: speed it up!
+  if abs(height - model_height) > 0.001: #
+    camera_from_model_camera = get_model_height_transform(camera_frame_from_road_frame, height)
+  else:
+    camera_from_model_camera = np.eye(3)
+
+  return np.dot(camera_from_model_camera, model_camera_from_model_frame)
+
+
+def get_camera_frame_from_bigmodel_frame(camera_frame_from_road_frame):
+  camera_frame_from_ground = camera_frame_from_road_frame[:, (0, 1, 3)]
+  bigmodel_frame_from_ground = bigmodel_frame_from_road_frame[:, (0, 1, 3)]
+
+  ground_from_bigmodel_frame = np.linalg.inv(bigmodel_frame_from_ground)
+  camera_frame_from_bigmodel_frame = np.dot(camera_frame_from_ground, ground_from_bigmodel_frame)
+
+  return camera_frame_from_bigmodel_frame
@@ -1,17 +0,0 @@
-#pragma once
-#include <eigen3/Eigen/Dense>
-#include "common/transformations/coordinates.hpp"
-
-
-Eigen::Quaterniond ensure_unique(Eigen::Quaterniond quat);
-
-Eigen::Quaterniond euler2quat(Eigen::Vector3d euler);
-Eigen::Vector3d quat2euler(Eigen::Quaterniond quat);
-Eigen::Matrix3d quat2rot(Eigen::Quaterniond quat);
-Eigen::Quaterniond rot2quat(const Eigen::Matrix3d &rot);
-Eigen::Matrix3d euler2rot(Eigen::Vector3d euler);
-Eigen::Vector3d rot2euler(const Eigen::Matrix3d &rot);
-Eigen::Matrix3d rot_matrix(double roll, double pitch, double yaw);
-Eigen::Matrix3d rot(Eigen::Vector3d axis, double angle);
-Eigen::Vector3d ecef_euler_from_ned(ECEF ecef_init, Eigen::Vector3d ned_pose);
-Eigen::Vector3d ned_euler_from_ecef(ECEF ecef_init, Eigen::Vector3d ecef_pose);
@@ -1,52 +1,293 @@
 import numpy as np
-from collections.abc import Callable
-
-from openpilot.common.transformations.transformations import (ecef_euler_from_ned_single,
-                                                    euler2quat_single,
-                                                    euler2rot_single,
-                                                    ned_euler_from_ecef_single,
-                                                    quat2euler_single,
-                                                    quat2rot_single,
-                                                    rot2euler_single,
-                                                    rot2quat_single)
+from numpy import dot, inner, array, linalg
+from common.transformations.coordinates import LocalCoord


-def numpy_wrap(function, input_shape, output_shape) -> Callable[..., np.ndarray]:
-  """Wrap a function to take either an input or list of inputs and return the correct shape"""
-  def f(*inps):
-    *args, inp = inps
-    inp = np.array(inp)
-    shape = inp.shape
+'''
+Vectorized functions that transform between
+rotation matrices, euler angles and quaternions.
+All support lists, array or array of arrays as inputs.
+Supports both x2y and y_from_x format (y_from_x preferred!).
+'''

-    if len(shape) == len(input_shape):
-      out_shape = output_shape
-    else:
-      out_shape = (shape[0],) + output_shape
+def euler2quat(eulers):
+  eulers = array(eulers)
+  if len(eulers.shape) > 1:
+    output_shape = (-1,4)
+  else:
+    output_shape = (4,)
+  eulers = np.atleast_2d(eulers)
+  gamma, theta, psi = eulers[:,0],  eulers[:,1],  eulers[:,2]

-    # Add empty dimension if inputs is not a list
-    if len(shape) == len(input_shape):
-      inp.shape = (1, ) + inp.shape
+  q0 = np.cos(gamma / 2) * np.cos(theta / 2) * np.cos(psi / 2) + \
+       np.sin(gamma / 2) * np.sin(theta / 2) * np.sin(psi / 2)
+  q1 = np.sin(gamma / 2) * np.cos(theta / 2) * np.cos(psi / 2) - \
+       np.cos(gamma / 2) * np.sin(theta / 2) * np.sin(psi / 2)
+  q2 = np.cos(gamma / 2) * np.sin(theta / 2) * np.cos(psi / 2) + \
+       np.sin(gamma / 2) * np.cos(theta / 2) * np.sin(psi / 2)
+  q3 = np.cos(gamma / 2) * np.cos(theta / 2) * np.sin(psi / 2) - \
+       np.sin(gamma / 2) * np.sin(theta / 2) * np.cos(psi / 2)

-    result = np.asarray([function(*args, i) for i in inp])
-    result.shape = out_shape
-    return result
-  return f
+  quats = array([q0, q1, q2, q3]).T
+  for i in xrange(len(quats)):
+    if quats[i,0] < 0:
+      quats[i] = -quats[i]
+  return quats.reshape(output_shape)


-euler2quat = numpy_wrap(euler2quat_single, (3,), (4,))
-quat2euler = numpy_wrap(quat2euler_single, (4,), (3,))
-quat2rot = numpy_wrap(quat2rot_single, (4,), (3, 3))
-rot2quat = numpy_wrap(rot2quat_single, (3, 3), (4,))
-euler2rot = numpy_wrap(euler2rot_single, (3,), (3, 3))
-rot2euler = numpy_wrap(rot2euler_single, (3, 3), (3,))
-ecef_euler_from_ned = numpy_wrap(ecef_euler_from_ned_single, (3,), (3,))
-ned_euler_from_ecef = numpy_wrap(ned_euler_from_ecef_single, (3,), (3,))
+def quat2euler(quats):
+  quats = array(quats)
+  if len(quats.shape) > 1:
+    output_shape = (-1,3)
+  else:
+    output_shape = (3,)
+  quats = np.atleast_2d(quats)
+  q0, q1, q2, q3 = quats[:,0], quats[:,1], quats[:,2], quats[:,3]
+
+  gamma = np.arctan2(2 * (q0 * q1 + q2 * q3), 1 - 2 * (q1**2 + q2**2))
+  theta = np.arcsin(2 * (q0 * q2 - q3 * q1))
+  psi = np.arctan2(2 * (q0 * q3 + q1 * q2), 1 - 2 * (q2**2 + q3**2))
+
+  eulers = array([gamma, theta, psi]).T
+  return eulers.reshape(output_shape)
+
+
+def quat2rot(quats):
+  quats = array(quats)
+  input_shape = quats.shape
+  quats = np.atleast_2d(quats)
+  Rs = np.zeros((quats.shape[0], 3, 3))
+  q0 = quats[:, 0]
+  q1 = quats[:, 1]
+  q2 = quats[:, 2]
+  q3 = quats[:, 3]
+  Rs[:, 0, 0] = q0 * q0 + q1 * q1 - q2 * q2 - q3 * q3
+  Rs[:, 0, 1] = 2 * (q1 * q2 - q0 * q3)
+  Rs[:, 0, 2] = 2 * (q0 * q2 + q1 * q3)
+  Rs[:, 1, 0] = 2 * (q1 * q2 + q0 * q3)
+  Rs[:, 1, 1] = q0 * q0 - q1 * q1 + q2 * q2 - q3 * q3
+  Rs[:, 1, 2] = 2 * (q2 * q3 - q0 * q1)
+  Rs[:, 2, 0] = 2 * (q1 * q3 - q0 * q2)
+  Rs[:, 2, 1] = 2 * (q0 * q1 + q2 * q3)
+  Rs[:, 2, 2] = q0 * q0 - q1 * q1 - q2 * q2 + q3 * q3
+
+  if len(input_shape) < 2:
+    return Rs[0]
+  else:
+    return Rs
+
+
+def rot2quat(rots):
+  input_shape = rots.shape
+  if len(input_shape) < 3:
+    rots = array([rots])
+  K3 = np.empty((len(rots), 4, 4))
+  K3[:, 0, 0] = (rots[:, 0, 0] - rots[:, 1, 1] - rots[:, 2, 2]) / 3.0
+  K3[:, 0, 1] = (rots[:, 1, 0] + rots[:, 0, 1]) / 3.0
+  K3[:, 0, 2] = (rots[:, 2, 0] + rots[:, 0, 2]) / 3.0
+  K3[:, 0, 3] = (rots[:, 1, 2] - rots[:, 2, 1]) / 3.0
+  K3[:, 1, 0] = K3[:, 0, 1]
+  K3[:, 1, 1] = (rots[:, 1, 1] - rots[:, 0, 0] - rots[:, 2, 2]) / 3.0
+  K3[:, 1, 2] = (rots[:, 2, 1] + rots[:, 1, 2]) / 3.0
+  K3[:, 1, 3] = (rots[:, 2, 0] - rots[:, 0, 2]) / 3.0
+  K3[:, 2, 0] = K3[:, 0, 2]
+  K3[:, 2, 1] = K3[:, 1, 2]
+  K3[:, 2, 2] = (rots[:, 2, 2] - rots[:, 0, 0] - rots[:, 1, 1]) / 3.0
+  K3[:, 2, 3] = (rots[:, 0, 1] - rots[:, 1, 0]) / 3.0
+  K3[:, 3, 0] = K3[:, 0, 3]
+  K3[:, 3, 1] = K3[:, 1, 3]
+  K3[:, 3, 2] = K3[:, 2, 3]
+  K3[:, 3, 3] = (rots[:, 0, 0] + rots[:, 1, 1] + rots[:, 2, 2]) / 3.0
+  q = np.empty((len(rots), 4))
+  for i in xrange(len(rots)):
+    _, eigvecs = linalg.eigh(K3[i].T)
+    eigvecs = eigvecs[:,3:]
+    q[i, 0] = eigvecs[-1]
+    q[i, 1:] = -eigvecs[:-1].flatten()
+    if q[i, 0] < 0:
+      q[i] = -q[i]
+
+  if len(input_shape) < 3:
+    return q[0]
+  else:
+    return q
+
+
+def euler2rot(eulers):
+  return rotations_from_quats(euler2quat(eulers))
+
+
+def rot2euler(rots):
+  return quat2euler(quats_from_rotations(rots))
+

 quats_from_rotations = rot2quat
 quat_from_rot = rot2quat
 rotations_from_quats = quat2rot
-rot_from_quat = quat2rot
+rot_from_quat= quat2rot
+rot_from_quat= quat2rot
 euler_from_rot = rot2euler
 euler_from_quat = quat2euler
 rot_from_euler = euler2rot
 quat_from_euler = euler2quat
+
+
+
+
+
+
+'''
+Random helpers below
+'''
+
+
+def quat_product(q, r):
+  t = np.zeros(4)
+  t[0] = r[0] * q[0] - r[1] * q[1] - r[2] * q[2] - r[3] * q[3]
+  t[1] = r[0] * q[1] + r[1] * q[0] - r[2] * q[3] + r[3] * q[2]
+  t[2] = r[0] * q[2] + r[1] * q[3] + r[2] * q[0] - r[3] * q[1]
+  t[3] = r[0] * q[3] - r[1] * q[2] + r[2] * q[1] + r[3] * q[0]
+  return t
+
+
+def rot_matrix(roll, pitch, yaw):
+  cr, sr = np.cos(roll), np.sin(roll)
+  cp, sp = np.cos(pitch), np.sin(pitch)
+  cy, sy = np.cos(yaw), np.sin(yaw)
+  rr = array([[1,0,0],[0, cr,-sr],[0, sr, cr]])
+  rp = array([[cp,0,sp],[0, 1,0],[-sp, 0, cp]])
+  ry = array([[cy,-sy,0],[sy, cy,0],[0, 0, 1]])
+  return ry.dot(rp.dot(rr))
+
+
+def rot(axis, angle):
+  # Rotates around an arbitrary axis
+  ret_1 = (1 - np.cos(angle)) * array([[axis[0]**2, axis[0] * axis[1], axis[0] * axis[2]], [
+    axis[1] * axis[0], axis[1]**2, axis[1] * axis[2]
+  ], [axis[2] * axis[0], axis[2] * axis[1], axis[2]**2]])
+  ret_2 = np.cos(angle) * np.eye(3)
+  ret_3 = np.sin(angle) * array([[0, -axis[2], axis[1]], [axis[2], 0, -axis[0]],
+                              [-axis[1], axis[0], 0]])
+  return ret_1 + ret_2 + ret_3
+
+
+def ecef_euler_from_ned(ned_ecef_init, ned_pose):
+  '''
+  Got it from here:
+  Using Rotations to Build Aerospace Coordinate Systems
+  -Don Koks
+  '''
+  converter = LocalCoord.from_ecef(ned_ecef_init)
+  x0 = converter.ned2ecef([1, 0, 0]) - converter.ned2ecef([0, 0, 0])
+  y0 = converter.ned2ecef([0, 1, 0]) - converter.ned2ecef([0, 0, 0])
+  z0 = converter.ned2ecef([0, 0, 1]) - converter.ned2ecef([0, 0, 0])
+
+  x1 = rot(z0, ned_pose[2]).dot(x0)
+  y1 = rot(z0, ned_pose[2]).dot(y0)
+  z1 = rot(z0, ned_pose[2]).dot(z0)
+
+  x2 = rot(y1, ned_pose[1]).dot(x1)
+  y2 = rot(y1, ned_pose[1]).dot(y1)
+  z2 = rot(y1, ned_pose[1]).dot(z1)
+
+  x3 = rot(x2, ned_pose[0]).dot(x2)
+  y3 = rot(x2, ned_pose[0]).dot(y2)
+  #z3 = rot(x2, ned_pose[0]).dot(z2)
+
+  x0 = array([1, 0, 0])
+  y0 = array([0, 1, 0])
+  z0 = array([0, 0, 1])
+
+  psi = np.arctan2(inner(x3, y0), inner(x3, x0))
+  theta = np.arctan2(-inner(x3, z0), np.sqrt(inner(x3, x0)**2 + inner(x3, y0)**2))
+  y2 = rot(z0, psi).dot(y0)
+  z2 = rot(y2, theta).dot(z0)
+  phi = np.arctan2(inner(y3, z2), inner(y3, y2))
+
+  ret = array([phi, theta, psi])
+  return ret
+
+
+def ned_euler_from_ecef(ned_ecef_init, ecef_poses):
+  '''
+  Got the math from here:
+  Using Rotations to Build Aerospace Coordinate Systems
+  -Don Koks
+
+  Also accepts array of ecef_poses and array of ned_ecef_inits.
+  Where each row is a pose and an ecef_init.
+  '''
+  ned_ecef_init = array(ned_ecef_init)
+  ecef_poses = array(ecef_poses)
+  output_shape = ecef_poses.shape
+  ned_ecef_init = np.atleast_2d(ned_ecef_init)
+  ecef_poses = np.atleast_2d(ecef_poses)
+
+  ned_poses = np.zeros(ecef_poses.shape)
+  for i, ecef_pose in enumerate(ecef_poses):
+    converter = LocalCoord.from_ecef(ned_ecef_init[i])
+    x0 = array([1, 0, 0])
+    y0 = array([0, 1, 0])
+    z0 = array([0, 0, 1])
+
+    x1 = rot(z0, ecef_pose[2]).dot(x0)
+    y1 = rot(z0, ecef_pose[2]).dot(y0)
+    z1 = rot(z0, ecef_pose[2]).dot(z0)
+
+    x2 = rot(y1, ecef_pose[1]).dot(x1)
+    y2 = rot(y1, ecef_pose[1]).dot(y1)
+    z2 = rot(y1, ecef_pose[1]).dot(z1)
+
+    x3 = rot(x2, ecef_pose[0]).dot(x2)
+    y3 = rot(x2, ecef_pose[0]).dot(y2)
+    #z3 = rot(x2, ecef_pose[0]).dot(z2)
+
+    x0 = converter.ned2ecef([1, 0, 0]) - converter.ned2ecef([0, 0, 0])
+    y0 = converter.ned2ecef([0, 1, 0]) - converter.ned2ecef([0, 0, 0])
+    z0 = converter.ned2ecef([0, 0, 1]) - converter.ned2ecef([0, 0, 0])
+
+    psi = np.arctan2(inner(x3, y0), inner(x3, x0))
+    theta = np.arctan2(-inner(x3, z0), np.sqrt(inner(x3, x0)**2 + inner(x3, y0)**2))
+    y2 = rot(z0, psi).dot(y0)
+    z2 = rot(y2, theta).dot(z0)
+    phi = np.arctan2(inner(y3, z2), inner(y3, y2))
+    ned_poses[i] = array([phi, theta, psi])
+
+  return ned_poses.reshape(output_shape)
+
+
+def ecef2car(car_ecef, psi, theta, points_ecef, ned_converter):
+  """
+  TODO: add roll rotation
+  Converts an array of points in ecef coordinates into
+  x-forward, y-left, z-up coordinates
+  Parameters
+  ----------
+  psi: yaw, radian
+  theta: pitch, radian
+  Returns
+  -------
+  [x, y, z] coordinates in car frame
+  """
+
+  # input is an array of points in ecef cocrdinates
+  # output is an array of points in car's coordinate (x-front, y-left, z-up)
+
+  # convert points to NED
+  points_ned = []
+  for p in points_ecef:
+    points_ned.append(ned_converter.ecef2ned_matrix.dot(array(p) - car_ecef))
+
+  points_ned = np.vstack(points_ned).T
+
+  # n, e, d -> x, y, z
+  # Calculate relative postions and rotate wrt to heading and pitch of car
+  invert_R = array([[1., 0., 0.], [0., -1., 0.], [0., 0., -1.]])
+
+  c, s = np.cos(psi), np.sin(psi)
+  yaw_R = array([[c, s, 0.], [-s, c, 0.], [0., 0., 1.]])
+
+  c, s = np.cos(theta), np.sin(theta)
+  pitch_R = array([[c, 0., -s], [0., 1., 0.], [s, 0., c]])
+
+  return dot(pitch_R, dot(yaw_R, dot(invert_R, points_ned)))
@@ -1,104 +0,0 @@
-import numpy as np
-
-import openpilot.common.transformations.coordinates as coord
-
-geodetic_positions = np.array([[37.7610403, -122.4778699, 115],
-                                 [27.4840915, -68.5867592, 2380],
-                                 [32.4916858, -113.652821, -6],
-                                 [15.1392514, 103.6976037, 24],
-                                 [24.2302229, 44.2835412, 1650]])
-
-ecef_positions = np.array([[-2711076.55270557, -4259167.14692758,  3884579.87669935],
-                          [ 2068042.69652729, -5273435.40316622,  2927004.89190746],
-                          [-2160412.60461669, -4932588.89873832,  3406542.29652851],
-                          [-1458247.92550567,  5983060.87496612,  1654984.6099885 ],
-                          [ 4167239.10867871,  4064301.90363223,  2602234.6065749 ]])
-
-ecef_positions_offset = np.array([[-2711004.46961115, -4259099.33540613,  3884605.16002147],
-                                  [ 2068074.30639499, -5273413.78835412,  2927012.48741131],
-                                  [-2160344.53748176, -4932586.20092211,  3406636.2962545 ],
-                                  [-1458211.98517094,  5983151.11161276,  1655077.02698447],
-                                  [ 4167271.20055269,  4064398.22619263,  2602238.95265847]])
-
-
-ned_offsets = np.array([[78.722153649976391, 24.396208657446344, 60.343017506838436],
-                       [10.699003365155221, 37.319278617604269, 4.1084100025050407],
-                       [95.282646251726959, 61.266689955574428, -25.376506058505054],
-                       [68.535769283630003, -56.285970011848889, -100.54840137956515],
-                       [-33.066609321880179, 46.549821994306861, -84.062540548335591]])
-
-ecef_init_batch = np.array([2068042.69652729, -5273435.40316622,  2927004.89190746])
-ecef_positions_offset_batch = np.array([[ 2068089.41454771, -5273434.46829148,  2927074.04783672],
-                                        [ 2068103.31628647, -5273393.92275431,  2927102.08725987],
-                                        [ 2068108.49939636, -5273359.27047121,  2927045.07091581],
-                                        [ 2068075.12395611, -5273381.69432566,  2927041.08207992],
-                                        [ 2068060.72033399, -5273430.6061505,  2927094.54928305]])
-
-ned_offsets_batch = np.array([[  53.88103168,   43.83445935,  -46.27488057],
-                              [  93.83378995,   71.57943024,  -30.23113187],
-                              [  57.26725796,   89.05602684,   23.02265814],
-                              [  49.71775195,   49.79767572,   17.15351015],
-                              [  78.56272609,   18.53100158,  -43.25290759]])
-
-
-class TestNED:
-  def test_small_distances(self):
-    start_geodetic = np.array([33.8042184, -117.888593, 0.0])
-    local_coord = coord.LocalCoord.from_geodetic(start_geodetic)
-
-    start_ned = local_coord.geodetic2ned(start_geodetic)
-    np.testing.assert_array_equal(start_ned, np.zeros(3,))
-
-    west_geodetic = start_geodetic + [0, -0.0005, 0]
-    west_ned = local_coord.geodetic2ned(west_geodetic)
-    assert np.abs(west_ned[0]) < 1e-3
-    assert west_ned[1] < 0
-
-    southwest_geodetic = start_geodetic + [-0.0005, -0.002, 0]
-    southwest_ned = local_coord.geodetic2ned(southwest_geodetic)
-    assert southwest_ned[0] < 0
-    assert southwest_ned[1] < 0
-
-  def test_ecef_geodetic(self):
-    # testing single
-    np.testing.assert_allclose(ecef_positions[0], coord.geodetic2ecef(geodetic_positions[0]), rtol=1e-9)
-    np.testing.assert_allclose(geodetic_positions[0, :2], coord.ecef2geodetic(ecef_positions[0])[:2], rtol=1e-9)
-    np.testing.assert_allclose(geodetic_positions[0, 2], coord.ecef2geodetic(ecef_positions[0])[2], rtol=1e-9, atol=1e-4)
-
-    np.testing.assert_allclose(geodetic_positions[:, :2], coord.ecef2geodetic(ecef_positions)[:, :2], rtol=1e-9)
-    np.testing.assert_allclose(geodetic_positions[:, 2], coord.ecef2geodetic(ecef_positions)[:, 2], rtol=1e-9, atol=1e-4)
-    np.testing.assert_allclose(ecef_positions, coord.geodetic2ecef(geodetic_positions), rtol=1e-9)
-
-
-  def test_ned(self):
-    for ecef_pos in ecef_positions:
-      converter = coord.LocalCoord.from_ecef(ecef_pos)
-      ecef_pos_moved = ecef_pos + [25, -25, 25]
-      ecef_pos_moved_double_converted = converter.ned2ecef(converter.ecef2ned(ecef_pos_moved))
-      np.testing.assert_allclose(ecef_pos_moved, ecef_pos_moved_double_converted, rtol=1e-9)
-
-    for geo_pos in geodetic_positions:
-      converter = coord.LocalCoord.from_geodetic(geo_pos)
-      geo_pos_moved = geo_pos + np.array([0, 0, 10])
-      geo_pos_double_converted_moved = converter.ned2geodetic(converter.geodetic2ned(geo_pos) + np.array([0, 0, -10]))
-      np.testing.assert_allclose(geo_pos_moved[:2], geo_pos_double_converted_moved[:2], rtol=1e-9, atol=1e-6)
-      np.testing.assert_allclose(geo_pos_moved[2], geo_pos_double_converted_moved[2], rtol=1e-9, atol=1e-4)
-
-  def test_ned_saved_results(self):
-    for i, ecef_pos in enumerate(ecef_positions):
-      converter = coord.LocalCoord.from_ecef(ecef_pos)
-      np.testing.assert_allclose(converter.ned2ecef(ned_offsets[i]),
-                                 ecef_positions_offset[i],
-                                 rtol=1e-9, atol=1e-4)
-      np.testing.assert_allclose(converter.ecef2ned(ecef_positions_offset[i]),
-                                 ned_offsets[i],
-                                 rtol=1e-9, atol=1e-4)
-
-  def test_ned_batch(self):
-    converter = coord.LocalCoord.from_ecef(ecef_init_batch)
-    np.testing.assert_allclose(converter.ecef2ned(ecef_positions_offset_batch),
-                                                           ned_offsets_batch,
-                                                           rtol=1e-9, atol=1e-7)
-    np.testing.assert_allclose(converter.ned2ecef(ned_offsets_batch),
-                                                           ecef_positions_offset_batch,
-                                                           rtol=1e-9, atol=1e-7)
--- a/Show More
+++ b/Show More