Point Cloud Library (PCL)
- pcl
- c-plus-plus
- cpp
- pointcloud
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Point Cloud Library (PCL)
Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
The public CGAL repository, see the README below
CloudCompare main repository
3D LIDAR-based Graph SLAM
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
A collection of GICP-based fast point cloud registration algorithms
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
A lean C++ library for working with point cloud data
Robotics with GPU computing
A Modular Optimization framework for Localization and mApping (MOLA)
Interactive Map Correction for 3D Graph SLAM
Multi-threaded and SSE friendly NDT algorithm
My awesome point cloud labeling tool
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
Use LiDAR to map the static world
This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
Multi primitive-to-primitive (MP2P) ICP algorithms in C++
A graphical user interface to annotate point clouds and 3D data.