microsoft/AutonomousDrivingCookbook
Scenarios, tutorials and demos for Autonomous Driving
This project helps automotive engineers and AI researchers develop and test autonomous driving algorithms. It provides practical scenarios and tutorials, taking in simulated driving data and producing trained AI models for self-driving cars. This resource is designed for anyone from beginners to industry experts working on autonomous vehicle technology.
2,414 stars. No commits in the last 6 months.
Use this if you need to quickly learn or prototype autonomous driving solutions using simulated environments, especially for training AI models with techniques like behavioral cloning or reinforcement learning.
Not ideal if you are looking for a plug-and-play production-ready autonomous driving system, as this is a cookbook of tutorials and scenarios for development and research.
Stars
2,414
Forks
570
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 25, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/microsoft/AutonomousDrivingCookbook"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
carla-simulator/carla
Open-source simulator for autonomous driving research.
OpenHUTB/hutb
人车模拟器
thomasfermi/Algorithms-for-Automated-Driving
Each chapter of this (mini-)book guides you in programming one important software component for...
ProjectNeura/LEADS
Enable your racing car with powerful, data-driven instrumentation, control, and analysis...
deepdrive/deepdrive
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving