Point Cloud Library (PCL)
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Updated
May 24, 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.
Point Cloud Library (PCL)
Mesh processing library
A PointCloud2 message conversion library for ROS1 and ROS2.
A Three.js-based framework written in Javascript/WebGL for visualizing 3D geospatial data
NSL3130AA, OpenCV, Point Cloud, Deep Learning, YOLOv3, SSD-MobilenetV2
ROS package for converting scan to pcl
Open3D: A Modern Library for 3D Data Processing
DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation, CoRL 2022
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
A handy tool for dealing with region of interest (ROI) on the image reconstruction (Metashape & Pix4D) outputs, mainly in agriculture applications
3D CAD viewer and converter based on Qt + OpenCascade
Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.
A Python module designed to simplify the rendering of markers in RViz and to support custom transform, animation, and other marker related features.
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
Efficient and parallel algorithms for point cloud registration [C++, Python]
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
A 3D and 2D processing base on glam
Official ROS drivers for Ouster sensors (OS0, OS1, OS2, OSDome)