LOAM based out of LeGO-LOAM

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

css_loam_velodyne

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

SLAM package using NDT registration library of Autoware with loop-closure detection (odometry based) referenced from lego_loam.

Laser Odometry and Localization

Advance-LeGO-LOAM

loam code noted in Chinese（loam中文注解版）

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

A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR

Bag files captured using a Clearpath Jackal Robot, which is equipped with a Velodyne VLP-16 and low-end IMU sensor. The published point cloud topic is \velodyne_points. The published IMU data topic is \imu\data.

This dataset is captured using a Velodyne VLP-16, which is mounted on an UGV - Clearpath Jackal, on Stevens Institute of Technology campus

Python implementation of LOAM (Lidar Odometry and Mapping) for rapid prototyping or educational purpose

Easy description to run and evaluate Lego-LOAM with KITTI-data

CMU 16-833 "Robot Localization and Mapping" Course Project

open source slam system notes

A real-time LiDAR SLAM package that integrates FLOAM and ScanContext.

A real-time LiDAR SLAM package that integrates TLOAM and ScanContext.

LiLo: Lite 3D-Lidar Odometry