Modern C++ GNSS/RTK/PPP/CLAS toolkit.

Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research

Official code for BEVDepth.

Reference PyTorch implementation and models for DINOv3

[NeurIPS24 Spotlight] Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection

Lab Materials for MIT 6.S191: Introduction to Deep Learning

A structured reading list on Vision-Language-Action (VLA) models — from diffusion/flow matching foundations through state-of-the-art robot foundation model architectures to data scaling, RL fine-tu…

Free self-driving car stack - fully open-source ADAS and autonomous driving system

Radar Camera Fusion in Autonomous Driving

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

[ICCV 2025] End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model

[AAAI 2026] WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving

(RA-L) Repository for paper "Enhanced Pose Detection of Nearby Vehicles Using LiDAR and Prior Shape for Autonomous Driving"

Galaxea's open-source VLA repository

A general map auto annotation framework based on MapTR, with high flexibility in terms of spatial scale and element type

DiffusionDriveV2: Reinforcement Learning-Constrained Truncated Diffusion Modeling in End-to-End Autonomous Driving

Devkit and documentation for the NVIDIA Physical AI Autonomous Vehicles Dataset

Isaac Gym Reinforcement Learning Environments

[CVPR 2025, Spotlight] SimLingo (CarLLava): Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment

Group-Relative RL Fine-Tuning for Realistic and Controllable Traffic Simulation

A revised version of nuPlan-devkit

[NeurIPS 2025] Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution

A curated list of awesome LLM/VLM/VLA/World Model for Autonomous Driving(LLM4AD) resources (continually updated)

Fast, orientation-aware trajectory planning using a novel Gaussian overlap-based collision formulation, modeling both robot and environment as Gaussian Splat.