ROS 2 LiDAR SLAM for pointcloud-map authoring, benchmarking, and Autoware-compatible map workflows.

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.

ROS 1 and ROS 2 node that converts sensor_msgs/PointCloud2 LIDAR data to nav_msgs/OccupancyGrid 2D map data based on intensity and / or height. 🤖

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

Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.