lidar-bonnetal - Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving.

GitHub - kzampog/cilantro: A lean C++ library for working with point cloud data

A lean c library for working with point cloud data git hub kzampog cilantro a lean c library for working with point cloud data

open3d - Open3D: A Modern Library for 3D Data Processing.

GitHub - BichenWuUCB/SqueezeSeg: Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

Implementation of squeeze seg convolutional neural networks for li dar point clout segmentation git hub bichen wu ucb squeeze seg implementation of squeeze seg convolutional neural networks for li d

point - ROS nodes to read and write point clouds from and to files (e.g. ply, vtk).

python-pcl - Python bindings to the pointcloud library.

libpointmatcher - An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics.

depth_clustering - Fast and robust clustering of point clouds generated with a Velodyne sensor.

CSF - LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation.

GitHub - peci1/robot_body_filter: Filters the robot’s body out of point clouds and laser scans.

Filters the robot s body out of point clouds and laser scans git hub peci1 robot body filter filters the robot s body out of point clouds and laser scans

grid_map - Universal grid map library for mobile robotic mapping.

elevation_mapping - Robot-centric elevation mapping for rough terrain navigation.

GitHub - PRBonn/rangenet_lib: Inference module for RangeNet++ (milioto2019iros, chen2019iros)

Inference module for range net milioto2019iros chen2019iros git hub pr bonn rangenet lib inference module for range net milioto2019iros chen2019iros

pointcloud - Converts a 3D Point Cloud into a 2D laser scan.

octomap - An Efficient Probabilistic 3D Mapping Framework Based on Octrees.

pptk - Point Processing Toolkit from HEREMaps.

GPU-Voxels

spatio - A new voxel layer leveraging modern 3D graphics tools to modernize navigation environmental representations.

LAStools - Award-winning software for efficient LiDAR processing.

PCDet - A general PyTorch-based codebase for 3D object detection from point cloud.

PDAL - A C++ BSD library for translating and manipulating point cloud data.

PotreeConverter - Builds a potree octree from las, laz, binary ply, xyz or ptx files.

GitHub - SMRT-AIST/fast_gicp: A collection of GICP-based fast point cloud registration algorithms

A collection of gicp based fast point cloud registration algorithms git hub smrt aist fast gicp a collection of gicp based fast point cloud registration algorithms

ndt_omp - Multi-threaded and SSE friendly NDT algorithm.

laser - A ROS packages that extracts line segments from LaserScan messages.

GitHub - yangjiaolong/Go-ICP: Implementation of the Go-ICP algorithm for globally optimal 3D pointset registration

Implementation of the go icp algorithm for globally optimal 3 d pointset registration git hub yangjiaolong go icp implementation of the go icp algorithm for globally optimal 3 d pointset registra

PointCNN - A simple and general framework for feature learning from point clouds.

segmenters_lib - The LiDAR segmenters library, for segmentation-based detection.

MotionNet - Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps.

PolarSeg - An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation.

traversability_mapping - Takes in point cloud from a Velodyne VLP-16 Lidar and outputs a traversability map for autonomous navigation in real-time.

GitHub - RobustFieldAutonomyLab/lidar_super_resolution: Simulation-based Lidar Super-resolution for Ground Vehicles

Simulation based lidar super resolution for ground vehicles git hub robust field autonomy lab lidar super resolution simulation based lidar super resolution for ground vehicles

Cupoch - A library that implements rapid 3D data processing and robotics computation using CUDA.

linefit - Implementation of the ground segmentation algorithm.

Draco - A library for compressing and decompressing 3D geometric meshes and point clouds.

Votenet - Deep Hough Voting for 3D Object Detection in Point Clouds.

lidar_undistortion - Provides lidar motion undistortion based on an external 6DoF pose estimation input.