Traversability mapping for mobile rough terrain navigation

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

Semantic Segmentation of Images and Point Clouds for Traversability Estimation

This repository provides the URDF description and ROS 2-based Gazebo simulation for the AgileX Hunter V2 robot, featuring Ackermann steering and integrated ROS 2 control for accurate kinematic simu…

[CVPR2022] DanceTrack: Multiple Object Tracking in Uniform Appearance and Diverse Motion

Official implementation for "CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels" (AAAI 2023)

Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator (RAL+ICRA'21)

RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics

ICRA 2026: ORAD-3D, a large-scale off-road autonomous driving dataset. Tasks: 2D free-space detection, 3D occupancy prediction, rough GPS-guided path planning, vision-language model-driven autonomo…

Leveraging system development and robot deployment for ground-based autonomous navigation and exploration.

Leveraging system development and robot deployment for aerial autonomous navigation.

Official PyTorch implementation of SegFormer

Path planning for autonomous vehicles using constrained iLQR.

3D Point Cloud Annotation Platform for Autonomous Driving

[IEEE T-PAMI 2023] Awesome BEV perception research and cookbook for all level audience in autonomous diriving

Yolov5 deepsort inference，使用YOLOv5+Deepsort实现车辆行人追踪和计数，代码封装成一个Detector类，更容易嵌入到自己的项目中

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

4D Radar Object Detection for Autonomous Driving in Various Weather Conditions

[ITSC 2022] TJ4DRadSet: A 4D Radar Dataset for Autonomous Driving

This repository shares the documentation and development kit of the View of Delft automotive dataset.

[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.

3D Trajectory Planner in Unknown Environments

A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.

This is a Chinese translation of the CUDA programming guide

Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"

[IROS2025]This is the offical implementation of the paper "MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving"

An ROS implementation of "L-Shape Fitting-Based Vehicle Pose Estimation and Tracking Using 3D-LiDAR"

[RA-L] Traversable ground and above-ground object segmentation using graph representation of 3D LiDAR scans