loam

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.

Advanced implementation of LOAM

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

loam code noted in Chinese（loam中文注解版）

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021

LiDAR SLAM: Scan Context + LeGO-LOAM

Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020

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

Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.

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

open source slam system notes

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

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

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

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.

LiPMatch: LiDAR Point Cloud Plane based Loop-Closure

Advance-LeGO-LOAM

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

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

A package transplanted from LOAM（Zhang Ji）

Laser Odometry and Localization

css_loam_velodyne

LiLo: Lite 3D-Lidar Odometry

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

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

LOAM based out of LeGO-LOAM