#Autonomous-driving
Showing 60 of 106 repositories tagged #autonomous-driving, ranked by stars
Python sample codes and textbook for robotics algorithms.
Open-source simulator for autonomous driving research.
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 Matting, 3D Segmentation, etc.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
[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.
:zap: The Mobile Robot Programming Toolkit (MRPT)
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
World's first general purpose 3D object detection codebse.
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering
Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]
A Python-based lightweight robot simulator designed for navigation, control, and learning
OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.
A Kitti Road Segmentation model implemented in tensorflow.
[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception
A deep neural network that learns to drive in video games
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
Papers, code and datasets about deep learning for 3D Object Detection.
Free self-driving car stack - fully open-source ADAS and autonomous driving system
[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Real-time Joint Semantic Reasoning for Autonomous Driving
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
人车模拟器（Human-vehicle Simulator）
A curated list of world models for autonomous driving.
[ECCV 2022 Oral] Perspective Transformer on 3D Lane Detection
无人驾驶相关论文速递
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!
🌐 Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future
[CVPR2024 Highlight] Editable Scene Simulation for Autonomous Driving via LLM-Agent Collaboration
[NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics Workshop of NeurIPS.
A car detection model implemented in Tensorflow.
a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018
[ECCV2022] Official Implementation of paper "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer"
Create a digital-twin style traffic visualization using only mp4 CCTV footage and its Google Maps location.
Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
Deep Learning tools and applications for NVIDIA AGX platforms.
3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making
Be Driven 🚘
sensor calibration tools for autonomous driving and robotics
[ECCV'24] Online Vectorized HD Map Construction using Geometry
[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
TensorFlow implementation of ENet, trained on the Cityscapes dataset.
Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
[ICCV 2025] Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
DMPR-PS: A Novel Approach for Parking-Slot Detection Using Directional Marking-Point Regression
[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