opendbc

commaaiMIT活跃维护

用 Python 读写汽车 CAN 总线报文,内置各车型 DBC 定义,方便做车辆逆向分析和控制。

a Python API for your car

v0.3.1发布于 2026-04-22 08:27 UTC3,552star +7 / 7 天2,373fork同步于 2026-11-10 11:40 UTC

怎么上手

由 README 提炼,执行前请确认
git clone https://github.com/commaai/opendbc.git
cd opendbc
./test.sh
硬件要求按 README 说明

README 未说明运行所需的显存或 CPU 要求;连接实车需 comma four 与对应车 harness,CAN 总线接入使用 panda 硬件。

下载:源码 zip·GitHub Releases(安装包)本站不镜像安装包

项目说明

由 README 自动翻译提炼

用 Python 直接控制汽车油门刹车转向并读取车速转向角等状态的车辆接口库

用 Python 读写汽车 CAN 总线报文,内置各车型 DBC 定义,方便做车辆逆向分析和控制。

核心能力

  • 用 Python 控制油门、刹车与转向
  • 读取车速、转向角等车辆状态
  • 解析和构建 DBC 定义的 CAN 报文
  • 按品牌组织 carstate/carcontroller 等车端接口
  • 内置 safety 固件做功能安全约束

容易踩的坑

pip install opendbc 仍在路线图中,需从源码克隆安装;需先装依赖并编译,./test.sh 会执行 pip3 install -e .[testing] 与 scons -j8;panda 上电默认处于 SAFETY_SILENT 模式,需选择安全模式才能发报文,部分模式需自行编译烧录固件。

内容由模型根据 README 生成,可能不完整或不准确,以官方文档为准。看原文 README

最近发版

4 个版本v0.3.1
  1. v0.3.1Release 0.3.1最新正式版2026-04-22 · 2026-04-22 08:27 UTC

    Ship DBCs, capnp schemas, and torque data in the wheel

  2. v0.3.0Release 0.3.02026-04-22 · 2026-04-22 07:36 UTC
    查看更新说明

    Highlights

    • Supported car count: 345 → 397
    • Tesla Model 3, Model Y, and Model X (HW3 and HW4) support thanks to lukasloetkolben and greatgitsby!
    • Rivian R1S and R1T (Gen 1 and Gen 2) support thanks to lukasloetkolben!
    • Porsche Macan and Audi Q5 (VW MLB) support thanks to jyoung8607 and Dennis-NL!
    • VW MEB (ID.x) architecture support thanks to jyoung8607!
    • PSA AEE2010_R3 platform support thanks to elkoled!
    • Honda Accord 2023-25, CR-V 2023-25, Pilot 2023-25, Passport 2026, and Acura MDX 2025 support thanks to vanillagorillaa and MVL!
    • Honda Odyssey 2021-25 support thanks to csouers and MVL!
    • Acura TLX 2021 support thanks to MVL!
    • Honda City 2023 support thanks to vanillagorillaa and drFritz!
    • Honda N-Box 2018 support thanks to miettal!
    • Ford F-150, F-150 Hybrid, Mach-E, and Ranger support
    • Ford Escape 2023-24 and Kuga 2024 support thanks to incognitojam!
    • Hyundai Nexo 2021 support thanks to sunnyhaibin!
    • Kia K7 2017 support thanks to royjr!
    • Lexus LS 2018 support thanks to Hacheoy!
    • Lexus RC 2023 support thanks to nelsonjchen!
    • CANParser and CANPacker rewritten in pure Python — the installed package is pure Python, no compilation required
    • Safety code, isotp.py/ccp.py/xcp.py, and vehicle_model.py moved into opendbc from panda/openpilot — opendbc is now the self-contained car API package
    • mull replaced with a faster custom mutation test runner
    • Safety hardening: per-brand message-block config, missing RX checks, relay-malfunction config
  3. v0.2.1Release 0.2.12025-02-11 · 2025-02-11 02:03 UTC
    查看更新说明
    • Fix missing files making car/ package not importable
  4. v0.2.0Release 0.2.02025-02-11 · 2025-02-11 00:59 UTC
    查看更新说明
    • Moved car/ directory from openpilot to opendbc. It comprises the APIs necessary to communicate with 275+ car models
      • opendbc is moving towards being a complete self-contained car API package
      • Soon all opendbc-related tests from openpilot will be migrated as well

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    README 原文

    未翻译

    License: MIT X Follow Discord


    Most cars since 2016 have electronically-actuatable steering, gas, and brakes thanks to LKAS and ACC. The goal of this project is to support controlling the steering, gas, and brakes on every single one of those cars.

    While the primary focus is on supporting ADAS interfaces for openpilot, we're also interested in reading and writing as many things as we can (EV charge status, lock/unlocking doors, etc) such that we can build the best vehicle management app ever.


    This README and the supported cars list are all the docs for the opendbc project. Everything you need to know to use, contribute, and extend opendbc are in these docs.

    Quick start

    git clone https://github.com/commaai/opendbc.git
    cd opendbc
    
    # you probably just want to use this. it's an all-in-one for dependency
    # installation, compiling, linting, and tests. it's also what runs in CI
    ./test.sh
    
    # here are the individual commands it runs
    pip3 install -e .[testing]  # install dependencies
    scons -j8                        # build with 8 cores
    unittest-parallel                # run the tests
    lefthook run lint                # run the linter
    

    examples/ contains small example programs that can read state from the car and control the steering, gas, and brakes. examples/joystick.py allows you to control a car with a joystick.

    Project Structure

    • opendbc/dbc/ is a repository of DBC files
    • opendbc/can/ is a library for parsing and building CAN messages from DBC files
    • opendbc/car/ is a high-level library for interfacing with cars using Python
    • opendbc/safety/ is the functional safety for all the cars supported by opendbc/car/

    How to Port a Car

    This guide covers everything from adding support to a new car all the way to improving existing cars (e.g. adding longitudinal control or radar parsing). If similar cars to yours are already compatible, most of this work is likely already done for you.

    At its most basic, a car port will control the steering on a car. A "complete" car port will have all of: lateral control, longitudinal control, good tuning for both lateral and longitudinal, radar parsing (if equipped), fuzzy fingerprinting, and more. The new car support docs will clearly communicate each car's support level.

    Connect to the Car

    The first step is to get connected to the car with a comma four and a car harness. The car harness gets you connected to two different CAN buses and splits one of those buses to send our own actuation messages.

    If you're lucky, a harness compatible with your car will already be designed and sold on comma.ai/shop. If you're not so lucky, start with a "developer harness" from comma.ai/shop and crimp on whatever connector you need.

    Structure of a port

    Depending on the brand, most of this basic structure will already be in place.

    The entirety of a car port lives in opendbc/car/<brand>/:

    • carstate.py: parses out the relevant information from the CAN stream using the car's DBC file
    • carcontroller.py: outputs CAN messages to control the car
    • <brand>can.py: thin Python helpers around the DBC file to build CAN messages
    • fingerprints.py: database of ECU firmware versions for identifying car models
    • interface.py: high level class for interfacing with the car
    • radar_interface.py: parses out the radar
    • values.py: enumerates the brand's supported cars

    Reverse Engineer CAN messages

    Start off by recording a route with lots of interesting events: enable LKAS and ACC, turn the steering wheel both extremes, etc. Then, load up that route in cabana.

    Tuning

    Longitudinal

    Use the longitudinal maneuvers report to evaluate your car's longitudinal control and tune it.

    Validation

    Before submitting a port, go through the car porting checklist.

    Contributing

    All opendbc development is coordinated on GitHub and Discord. Check out the #dev-opendbc-cars channel and Vehicle Specific section.

    Roadmap

    Short term

    Longer term

    • Extend support to every car with LKAS + ACC interfaces
    • Automatic lateral and longitudinal control/tuning evaluation
    • Auto-tuning for lateral and longitudinal control
    • Automatic Emergency Braking

    Contributions towards anything here are welcome.

    Safety Model

    When a panda powers up with opendbc safety firmware, by default it's in SAFETY_SILENT mode. While in SAFETY_SILENT mode, the CAN buses are forced to be silent. In order to send messages, you have to select a safety mode. Some of safety modes (for example SAFETY_ALLOUTPUT) are disabled in release firmwares. In order to use them, compile and flash your own build.

    Safety modes optionally support controls_allowed, which allows or blocks a subset of messages based on a customizable state in the board.

    Code Rigor

    The opendbc safety firmware is written for its use in conjunction with openpilot and panda. The safety firmware, through its safety model, provides and enforces the openpilot safety. Due to its critical function, it's important that the application code rigor within the safety folder is held to high standards.

    These are the CI regression tests we have in place:

    • A generic static code analysis is performed by cppcheck.
    • In addition, cppcheck has a specific addon to check for MISRA C:2012 violations. See current coverage.
    • Compiler options are relatively strict: the flags -Wall -Wextra -Wstrict-prototypes -Werror are enforced.
    • The safety logic is tested and verified by unit tests for each supported car variant.

    The above tests are themselves tested by:

    • a mutation test on the MISRA coverage
    • 100% line coverage enforced on the safety unit tests

    In addition, we run the ruff linter and ty on the car interface library.

    Bounties

    Every car port is eligible for a bounty:

    In addition to the standard bounties, we also offer higher value bounties for more popular cars. See those at comma.ai/bounties.

    FAQ

    How do I use this? A comma four is custom-designed to be the best way to run and develop opendbc and openpilot.

    Which cars are supported? See the supported cars list.

    Can I add support for my car? Yes, most car support comes from the community. Read the guide here.

    Which cars can be supported? Any car with LKAS and ACC. More info here.

    How does this work? In short, we designed hardware to replace your car's built-in lane keep and adaptive cruise features. See this talk for an in-depth explanation.

    Is there a timeline or roadmap for adding car support? No, most car support comes from the community, with comma doing final safety and quality validation. The more complete the community car port is and the more popular the car is, the more likely we are to pick it up as the next one to validate.

    Terms

    • port: refers to the integration and support of a specific car
    • lateral control: aka steering control
    • longitudinal control: aka gas/brakes control
    • fingerprinting: automatic process for identifying the car
    • LKAS: lane keeping assist
    • ACC: adaptive cruise control
    • harness: car-specific hardware to attach to the car and intercept the ADAS messages
    • panda: hardware used to get on a car's CAN bus
    • ECU: computers or control modules inside the car
    • CAN bus: a bus that connects the ECUs in a car
    • cabana: our tool for reverse engineering CAN messages
    • DBC file: contains definitions for messages on a CAN bus
    • openpilot: an ADAS system for cars supported by opendbc
    • comma: the company behind opendbc
    • comma four: the hardware used to run openpilot

    More resources

    Come work with us -- comma.ai/jobs

    comma is hiring engineers to work on opendbc and openpilot. We love hiring contributors.