laboshinl/loam_velodyne

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1759 stars · 959 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A ROS implementation of LOAM (Laser Odometry and Mapping), a realtime method for state estimation and 3D mapping using a Velodyne 3D lidar. It processes point clouds to estimate sensor motion and build maps, built with catkin and PCL.

Use cases

• estimate robot pose from 3D lidar point clouds in realtime
• build 3D maps from Velodyne VLP16 rosbag recordings
• run laser odometry on a ROS robot
• process Velodyne pcap files into maps
• SLAM for indoor-outdoor lidar scanning
• state estimation for autonomous vehicles without GPS

When to choose

• you use ROS 1 (Indigo-era) with a Velodyne 3D lidar and need realtime odometry and mapping
• you want the classic LOAM algorithm as a reference or research baseline
• you work with PCL point clouds and catkin build tooling

When to avoid

• you need ROS 2 support or active maintenance - the project targets EOL ROS 1 distros and last released in 2019
• you need a license-cleared production dependency (license is marked NOASSERTION)
• you use non-Velodyne lidars without adaptation
• you want a modern maintained SLAM stack like LIO-SAM or FAST-LIO

Facets

library · maturity maintenance

computer-vision robotics simulation robotics autonomous-vehicles computer-vision cpp slam lidar odometry pointcloud velodyne ros mapping state-estimation linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="laboshinl/loam_velodyne")