[ECCV 2024] Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction

Large Driving Models

[CVPR 2025 Highlight] Truncated Diffusion Model for Real-Time End-to-End Autonomous Driving

[NeurIPS 2024] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

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

[ICCV 2023 Oral] A New Paradigm for End-to-end Autonomous Driving to Alleviate Causal Confusion

[ICCV'23] Hidden Biases of End-to-End Driving Models & A starter kit for the CARLA leaderboard 2.0.

Our insights of Openpilot, a deepdive project on it

[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"

[NeurIPS 2024 Datasets and Benchmarks Track] Closed-Loop E2E-AD Benchmark Enhanced by World Model RL Expert

Open-source simulator for autonomous driving research.

Bridging Large Vision-Language Models and End-to-End Autonomous Driving

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

[ICRA'2024] Rethinking Imitation-based Planner for Autonomous Driving

[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning

PLUTO: Push the Limit of Imitation Learning-based Planning for Autonomous Driving

[NeurIPS 2024] Official code of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

OpenMMLab's next-generation platform for general 3D object detection.

A Comprehensive Review of 3D Object Detection in Autonomous Driving: Technological Advances and Future Directions

AAAI2024 - Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection

Code for CRATE (Coding RAte reduction TransformEr).

[IJCAI2024] Implementation of "DCDet: Dynamic Cross-based 3D Object Detector"

rendering (optionally temporal) point clouds using Mitsuba2

a point cloud renderer based on mitsuba3

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.