autonomous-driving

Python sample codes and textbook for robotics algorithms.

Open-source simulator for autonomous driving research.

[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.

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Scenarios, tutorials and demos for Autonomous Driving

Collect some World Models for Autonomous Driving (and Robotic, etc.) papers.

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 websites.

A curated list of radar datasets, detection, tracking and fusion

A selection of state-of-the-art research materials on trajectory prediction

[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering

OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

[WACV 2024 Survey Paper] Multimodal Large Language Models for Autonomous Driving

Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024

Implementation of PF-Track

[CVPR 2026 Oral] WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World

a comprehensive and critical synthesis of the emerging role of GenAI across the full autonomous driving stack

[AAAI 2026 Oral] LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences

[ICCV 2025] Perspective-Invariant 3D Object Detection