Point Cloud Library (PCL)
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Updated
Oct 13, 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)
Open3D: A Modern Library for 3D Data Processing
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Web labeling tool for bitmap images and point clouds
loam code noted in Chinese(loam中文注解版)
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
A Three.js-based framework written in Javascript/WebGL for visualizing 3D geospatial data
3D CAD viewer and converter based on Qt + OpenCascade
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
Official ROS drivers for Ouster sensors (OS0, OS1, OS2, OSDome)
Drag-n-drop In-browser LAS/LAZ point cloud viewer. http://plas.io
PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb
C++ implementation of the Coherent Point Drift point set registration algorithm.
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.
A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies