Trending repositories for topic autonomous-driving
Autoware - the world's leading open-source software project for autonomous driving
Collect some World Models for Autonomous Driving (and Robotic) papers.
A Python based lightweight robot simulator for the development of algorithms in robotics navigation, control, and learning.
[CVPR 2025, Spotlight] SimLingo (CarLLava): Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
A simple and easy-to-use autonomous driving environment for reinforcement learning, based on the CARLA simulator.
SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
A minimalist environment for decision-making in autonomous driving
A codebase for point cloud scene flow estimation research. Latest works: Flow4D(RA-L'25), SSF(ICRA'25), SeFlow(ECCV'24), DeFlow(ICRA'24)
[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CVPR Oral 2025.
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...
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering
[CVPR 2025, Spotlight] SimLingo (CarLLava): Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
A simple and easy-to-use autonomous driving environment for reinforcement learning, based on the CARLA simulator.
A codebase for point cloud scene flow estimation research. Latest works: Flow4D(RA-L'25), SSF(ICRA'25), SeFlow(ECCV'24), DeFlow(ICRA'24)
SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CVPR Oral 2025.
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
Toolbox for Map Conversion and Scenario Creation for Autonomous Vehicles.
A Python based lightweight robot simulator for the development of algorithms in robotics navigation, control, and learning.
Repo of "GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving"
Collect some World Models for Autonomous Driving (and Robotic) papers.
This is repository for the course ROS2 Autonomous Driving and SLAM using NAV2 with TurtleBot3 on Udemy.
Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning
[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"
A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related website...
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...
[NeurIPS 2024] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
[WACV 2024 Survey Paper] Multimodal Large Language Models for Autonomous Driving
A curated list of world models for autonomous driving. Keep updated.
A simple and easy-to-use autonomous driving environment for reinforcement learning, based on the CARLA simulator.
[CVPR 2025, Spotlight] SimLingo (CarLLava): Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
Autoware - the world's leading open-source software project for autonomous driving
A Python based lightweight robot simulator for the development of algorithms in robotics navigation, control, and learning.
Collect some World Models for Autonomous Driving (and Robotic) papers.
A minimalist environment for decision-making in autonomous driving
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Mat...
A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related website...
[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
[CVPR 2025, Spotlight] SimLingo (CarLLava): Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
A simple and easy-to-use autonomous driving environment for reinforcement learning, based on the CARLA simulator.
A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related website...
A codebase for point cloud scene flow estimation research. Latest works: Flow4D(RA-L'25), SSF(ICRA'25), SeFlow(ECCV'24), DeFlow(ICRA'24)
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CVPR Oral 2025.
SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving
A Python based lightweight robot simulator for the development of algorithms in robotics navigation, control, and learning.
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation
[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"
VaViM and VaVAM: Autonomous Driving through Video Generative Modeling (official repository).
Toolbox for Map Conversion and Scenario Creation for Autonomous Vehicles.
Collect some World Models for Autonomous Driving (and Robotic) papers.
Repo of "GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving"
[CVPR2024] ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles https://arxiv.org/abs/2405.14062
Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning
A curated list of world models for autonomous driving. Keep updated.
A simple and easy-to-use autonomous driving environment for reinforcement learning, based on the CARLA simulator.
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
Autoware - the world's leading open-source software project for autonomous driving
A simple and easy-to-use autonomous driving environment for reinforcement learning, based on the CARLA simulator.
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
Collect some World Models for Autonomous Driving (and Robotic) papers.
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
A Python based lightweight robot simulator for the development of algorithms in robotics navigation, control, and learning.
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Mat...
A minimalist environment for decision-making in autonomous driving
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
Repo of "GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving"
A curated list of radar datasets, detection, tracking and fusion
OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.
[CVPR 2025, Spotlight] SimLingo (CarLLava): Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
A codebase for point cloud scene flow estimation research. Latest works: Flow4D(RA-L'25), SSF(ICRA'25), SeFlow(ECCV'24), DeFlow(ICRA'24)
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related website...
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CVPR Oral 2025.
Repo of "GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving"
[ICLR 2025] Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving
[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"
DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy Prediction
FedML for Autonomous Driving (AD), Intelligent Transportation Systems (ITS), Connected and Automated Vehicles (CAV)
SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving
Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
A Python based lightweight robot simulator for the development of algorithms in robotics navigation, control, and learning.
Autoware 安装运行应用中文教程指南，包含部分关键代码注释。Manuals & Tutorials for Autoware in Chinese.
VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning
GaussRender: Learning 3D Occupancy with Gaussian Rendering (official repository)
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
Toolbox for Map Conversion and Scenario Creation for Autonomous Vehicles.
Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning
OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.
Official implementation of the paper “MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control”
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"
Official implementation of the paper “MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes”
An open source code repository of driving world models, with training, inferencing, evaluation tools, and pretrained checkpoints.
Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
[ICLR 2025 Spotlight] Official implementation for "DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes"
Code for "DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT"
This is the offical implementation of the paper "MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving"
SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving
Repo of "GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving"
3D Gaussian Rendering PlayGround: an open-source autonomous driving closed-loop simulator demo using 3D Gaussian Splatting tech
End2EndPerception deployment solution based on vision sparse transformer paradigm is open sourced.
A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related website...
Python sample codes and textbook for robotics algorithms.
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
Autoware - the world's leading open-source software project for autonomous driving
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
Collect some World Models for Autonomous Driving (and Robotic) papers.
[NeurIPS 2024] A Generalizable World Model for Autonomous Driving
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Mat...
OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.
Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
A minimalist environment for decision-making in autonomous driving
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
Official implementation of the paper “MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control”
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...
Code for "DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT"
Official implementation of the paper “MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes”
This is the offical implementation of the paper "MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving"
[ECCV'24] SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
Official implementation of the paper “MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control”
[IROS 2024] MPPI (Model Predictive Path-Integral) Controller for a Swerve Drive Robot
Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
[RAL 2025]Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CVPR Oral 2025.
[Information Fusion 2025] A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective
VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning
[RA-L'24] BeautyMap: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global Maps
Autonomous driving episode generation for the Carla simulator in a gym environment. This framework makes it easy to create driving scenarios to train/test the agent.
HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation
Bridging Large Vision-Language Models and End-to-End Autonomous Driving
Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection
A Python based lightweight robot simulator for the development of algorithms in robotics navigation, control, and learning.