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.
Open3D: A Modern Library for 3D Data Processing
Point Cloud Library (PCL)
3D CAD viewer and converter based on Qt + OpenCascade
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
loam code noted in Chinese（loam中文注解版）
Efficient and parallel algorithms for point cloud registration [C++, Python]
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
Pointcloud-based graph SLAM written in C++ using open3D library.
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.
🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
A Modular Framework for LiDAR-based Lifelong Mapping
Cross-platform C++ and Python SDK for Ouster LiDAR sensors. Includes tools for visualization, data recording/replay, and sensor configuration
🔥3D-MOT(点云多目标检测和追踪C++) ��2020 · 秋） 代码有详细注解
C++ implementation of the Coherent Point Drift point set registration algorithm.
PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb
Large-scale LoD2 Building Reconstruction from Airborne LiDAR Point Clouds
[RA-L] Traversable ground and above-ground object segmentation using graph representation of 3D LiDAR scans
Polylidar3D - Fast polygon extraction from 3D Data
Code of Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field. ACM Transactions on Graphics (SIGGRAPH 2023).
An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.