hku-mars/loam_livox

Health v2 · maintenance only

Adoption not part of the score

1619 stars · 454 forks observed · 2026-08-28

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

A robust, real-time LiDAR odometry and mapping (LOAM) package designed for Livox LiDARs with small field of view. It provides feature extraction, outlier rejection, motion distortion compensation, loop closure, and map saving/reload utilities.

Use cases

• run lidar odometry and mapping with a livox lidar
• build 3d point cloud maps from livox sensor data
• estimate robot trajectory from lidar scans in real time
• perform loop closure for lidar slam
• compensate motion distortion in lidar point clouds
• research small-fov lidar slam algorithms

When to choose

• you use a Livox LiDAR (e.g. Mid-40) with a small field of view
• you need a proven, low-drift real-time odometry and mapping pipeline on ROS
• you want built-in loop closure and map saving/reload for lidar slam

When to avoid

• you use conventional spinning lidars like Velodyne or Ouster rather than Livox
• you need a maintained project with recent updates or newer ROS 2 support
• you need visual-inertial or multi-sensor fusion slam

Facets

library · maturity maintenance

computer-vision robotics simulation robotics autonomous-vehicles cpp lidar-odometry slam livox-lidar point-cloud ros-package mapping loop-closure algorithms linux ros

Member repositories

For agents

markdown · JSON · MCP: product_card(name="hku-mars/loam_livox")