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Hybrid A* Path Planner for the KTH Research Concept Vehicle
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF,…
Traversable ground and above-ground object segmentation using graph representation of 3D LiDAR scans
The LiDAR segmenters library, for segmentation-based detection.
A simple and efficient 3D line detection algorithm for large scale unorganized point cloud
An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)
[CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM
Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 an…
Voronoi Based Hybrid A* for Tractor-Trailer Systems
ROS Wrapper for Intel(R) RealSense(TM) Cameras
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)
awesome-autonomous-driving
LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO application and …
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
A simple location system based on a priori map, which is based on the lio-sam framework
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
This repo is modified based on LIO_SAM, which remove the feature extraction module and makes it easier to adapt your sensor.
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments
使用OpenCV部署全景驾驶感知网络YOLOP，可同时处理交通目标检测、可驾驶区域分割、车道线检测，三项视觉感知任务，包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。
Extrinsic Calibration of a Odom and 2d Laser
Extrinsic Calibration of a Camera and 2d Laser
Interactive Map Correction for 3D Graph SLAM
An all-in-one and ready-to-use LiDAR-inertial odometry system for Livox LiDAR
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗