Mesh processing library
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Updated
Jun 30, 2024 - C++
A point cloud is a set of data points in space. The points represent a 3D shape or object. Each point has its set of X, Y and Z coordinates.
Mesh processing library
MPlane is a plugin for CloudCompare to perform normal distance measurements against a defined plane.
Open3D: A Modern Library for 3D Data Processing
ROS package for converting gridmap to pointcloud
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
Point Cloud Library (PCL)
3D CAD viewer and converter based on Qt + OpenCascade
FindSurface library for visionOS, distributed as a Swift package.
Efficient and parallel algorithms for point cloud registration [C++, Python]
Segments.ai Python SDK
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
Implements a deep RNN based Point Cloud Compression approach for Velodyne Point Clouds. Reference implementation of corresponding IEEE IV22 paper.
NSL3130AA, OpenCV, Point Cloud, Deep Learning, YOLOv3, SSD-MobilenetV2
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
A Three.js-based framework written in Javascript/WebGL for visualizing 3D geospatial data
Pointcloud-based graph SLAM written in C++ using open3D library.
A PointCloud2 message conversion library for ROS1 and ROS2.
ROS package for storing pointclouds and poses
Provide utilities for AMR navigation in ROS
ROS package for converting scan to pcl