Point Cloud Library (PCL)
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A resource repository for 3D machine learning
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.
OpenMMLab's next-generation platform for general 3D object detection.
The public CGAL repository, see the README below
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
CloudCompare main repository
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
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
World's first general purpose 3D object detection codebse.
Point cloud importer & renderer for Unity
A curated list of awesome links and software libraries that are useful for robots.
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
A lean C++ library for working with point cloud data
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
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