Open3D: A Modern Library for 3D Data Processing

Point Cloud Library (PCL)

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

3D CAD viewer and converter based on Qt + OpenCascade

loam code noted in Chinese（loam中文注解版）

Mesh processing library

Pointcloud-based graph SLAM written in C++ using open3D library.

🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)

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.

LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic

A Modular Framework for LiDAR-based Lifelong Mapping

Efficient and parallel algorithms for point cloud registration [C++, Python]

PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb

C++ implementation of the Coherent Point Drift point set registration algorithm.

🔥3D-MOT(点云多目标检测和追踪C++) （2020 · 秋） 代码有详细注解

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).

Large-scale LoD2 Building Reconstruction from Airborne LiDAR Point Clouds

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding