autowarefoundation/autoware — explained in plain English
Analysis updated 2026-06-24
Run Autoware in a simulator to test self-driving algorithms without needing a physical vehicle.
Integrate Autoware's localization and object detection modules into a research or prototype vehicle.
Contribute new perception or planning algorithms to the Autoware universe of experimental packages.
Evaluate a production-grade self-driving software stack as a baseline for academic research.
| autowarefoundation/autoware | laradock/laradock | jessfraz/dockerfiles | |
|---|---|---|---|
| Stars | 11,582 | 12,662 | 13,934 |
| Language | Dockerfile | Dockerfile | Dockerfile |
| Setup difficulty | hard | moderate | moderate |
| Complexity | 5/5 | 3/5 | 2/5 |
| Audience | researcher | developer | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Requires significant hardware, ROS 2 expertise, and either a simulation environment or a real vehicle to deploy on.
Autoware is an open-source software stack for self-driving vehicles. It provides all the software components a vehicle needs to drive itself: figuring out where it is on a map (localization), detecting other cars, pedestrians, and obstacles (object detection), planning a route, and sending the right commands to the steering and brakes (control). The project is built on ROS 2, a widely used framework for robotics software that handles communication between the different software components. This particular repository is the top-level entry point for Autoware. It is mainly a configuration file that tells a build tool which other Autoware repositories to download and assemble into a working workspace. The actual code lives across several companion repositories: autoware_core contains stable, production-quality packages, autoware_universe contains newer experimental packages that researchers and developers use to extend the system, and autoware_launch contains the configuration files needed to start everything up. The project is governed by the Autoware Foundation, a non-profit that coordinates contributions from companies and research groups around the world. There is no formal barrier to contributing: anyone can comment on issues or submit pull requests to any of the Autoware repositories. The foundation maintains working groups for different areas of the system, and a Discord server for real-time discussion. If you are evaluating Autoware: it targets real vehicles and simulation environments, not hobby robots. It requires significant hardware and expertise to deploy in a vehicle. The documentation site at autowarefoundation.github.io is the starting point for learning how to set up a development environment and run Autoware in a simulator. The older version built on ROS 1 (Autoware.AI) reached end-of-life in 2022 and is no longer recommended.
An open-source software stack that gives self-driving vehicles the ability to locate themselves on a map, detect obstacles, plan routes, and control steering and braking, built on the ROS 2 robotics framework.
Mainly Dockerfile. The stack also includes ROS 2, Docker, C++.
Setup difficulty is rated hard, with roughly 1day+ to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
Verify against the repo before relying on details.