autonomous-driving
Tracked open-source repos tagged autonomous-driving, sorted by stars.
- #31
AlpaSim is an open-source autonomous vehicle simulation platform designed for development and testing of end-to-end AV policies
★ 1,202+11Star change over the last 7 days - #32
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
★ 1,162+0Star change over the last 7 days - #33★ 1,134+1Star change over the last 7 days
- #34
A Python-based lightweight robot simulator designed for navigation, control, and learning
★ 1,119+4Star change over the last 7 days - #35
[CoRL '25] Pseudo-Simulation for Autonomous Driving; [NeurIPS '24] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
★ 1,080+6Star change over the last 7 days - #36
CarlaAir: Fly Drones Inside a CARLA World!! A Unified Infrastructure for Air-Ground Embodied Intelligence
★ 1,079+5Star change over the last 7 days - #37
📦 eCAL - enhanced Communication Abstraction Layer. A high performance publish-subscribe, client-server cross-plattform middleware.
★ 1,046+2Star change over the last 7 days - #38
[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"
★ 1,046+7Star change over the last 7 days - #39
The devkit of the nuPlan dataset.
★ 1,029+3Star change over the last 7 days - #40
[TPAMI 2026] 3D and 4D World Modeling: A Survey
★ 974+6Star change over the last 7 days - #41
OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.
★ 951+1Star change over the last 7 days - #42★ 895+0Star change over the last 7 days
- #43
Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).
★ 883+0Star change over the last 7 days - #44
Free and fully open-source L2 ADAS stack powered by End-to-End AI technology
★ 871+23Star change over the last 7 days - #45
[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.
★ 830+0Star change over the last 7 days - #46
自动驾驶笔记,以解析各模块知识点、整合行业优秀解决方案进行阐述,以帮助自己及有需要的读者;包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容.
★ 825+4Star change over the last 7 days - #47
[NeurIPS 2025 spotlight] Official implementation for "FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving"
★ 822+1Star change over the last 7 days - #48★ 819+1Star change over the last 7 days
- #49
[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving
★ 805+0Star change over the last 7 days - #50
Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception
★ 800+1Star change over the last 7 days - #51
[AAAI 2026] OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
★ 796+4Star change over the last 7 days - #52
国内首个占据栅格网络全栈课程《从BEV到Occupancy Network,算法原理与工程实践》,包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页:http://111.229.117.200:8100/ (作者独立搭建)
★ 794+4Star change over the last 7 days - #53
A deep neural network that learns to drive in video games
★ 775+0Star change over the last 7 days - #54
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
★ 767+4Star change over the last 7 days - #55
An awesome list of self-driving cars
★ 748+0Star change over the last 7 days - #56★ 737+1Star change over the last 7 days
- #57
[ICCV 2025] Official implementation of the paper “MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control”
★ 728+4Star change over the last 7 days - #58
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
★ 718+0Star change over the last 7 days - #59
Bird's Eye View Perception
★ 714+1Star change over the last 7 days - #60
[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning
★ 707+0Star change over the last 7 days