LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

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

3D LIDAR-based Graph SLAM

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

loam code noted in Chinese（loam中文注解版）

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Real-time 3D localization using a (velodyne) 3D LIDAR

Interactive Map Correction for 3D Graph SLAM

Surfel-based Mapping for 3d Laser Range Data (SuMa)

VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL-64E). Runs on Windows, Linux and MacOS. This repository is a mirror of https://gitlab.kitware.com/LidarView/VeloView-Velodyne.

My awesome point cloud labeling tool

LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.

Tutorial for using Kitti dataset easily

Real-time people tracking using a 3D LIDAR

[ROS package] Lightweight and Accurate Point Cloud Clustering

L-CAS 3D Point Cloud Annotation Tool

A real-time, direct and tightly-coupled LiDAR-Inertial SLAM for high velocities with spinning LiDARs

A universal LiDAR and radar driver for ROS 2, supporting Hesai, Velodyne, Robosense and Continental sensors.

ROS/ROS2 enabled Sensor models (Assets) on Unity