This repo contains carla_vehicle_annotator module which can be used to automatically annotate Vehicle's 2D Bounding Boxes in CARLA SIMULATOR.

federated learning autonomous driving in CARLA simulation

Extending S3Gaussian capabilities to work with Carla datasets, enhancing the robustness of autonomous driving systems.

代理模拟器文档

Data collector for CARLA 0.9.6

一键安装程序，欢迎大家提交代码和小鱼一起一键安装停止浪费生命

NeuroNCAP benchmark for end-to-end autonomous driving

3D Gaussian Splatting Papers Relating to Large-Scale Scene.

SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving

OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving

Official code for the paper "LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes".

[CVPR 2024] DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes

[ECCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting

Pytorch implementation for "DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes"

Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving

PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

A 3DGS framework for omni urban scene reconstruction and simulation.

Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving

A collaboration friendly studio for NeRFs

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

[NeurIPS 2024] A Generalizable World Model for Autonomous Driving

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

SynLiDAR: Synthetic LiDAR sequential point cloud dataset with point-wise annotations (AAAI2022)

Unified framework for robot learning built on NVIDIA Isaac Sim that modified by LTH

[CVPR'24 Highlight] GPT4Point: A Unified Framework for Point-Language Understanding and Generation.

3D Diffusion Policy

[NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

[ICLR 2024] PyTorch Code for Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks