A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.
BSD-3-CLAUSE License
Point Cloud Library (PCL)
Fast and robust clustering of point clouds generated with a Velodyne sensor.
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
点云分割论文2017 Fast segmentation of 3d point clouds: A paradigm on lidar data for autonomous vehicle ...
🔥PCL(Point Cloud Library)点云库学习记录
3D reconstruction system to creating detailed scene geometry from range video.
快速3D点云分割论文代码(带注解):Fast segmentation of 3d point clouds for ground vehicles
Motion planning and Navigation of AGV/AMR:ROS planner plugin implementation of A*, JPS, D*, LPA*,...
🔥3D-MOT(点云多目标检测和追踪C++) (2020 · 秋) 代码有详细注解
MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [ICRA '21]
🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapp...
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3...