M-LOAM
A robust system for multi-LiDAR extrinsic calibration, real-time odometry, and mapping without manual intervention.
What is M-LOAM?
M-LOAM is a robust system for multi-LiDAR extrinsic calibration, real-time odometry, and mapping. It allows multiple LiDARs with unknown relative poses to automatically calibrate themselves online while providing accurate localization and a globally consistent map. This solves the problem of deploying multi-LiDAR systems without tedious manual calibration.
Robotics researchers and engineers working on autonomous vehicles, drones, or mobile robots that use multiple LiDAR sensors for perception and navigation.
Developers choose M-LOAM for its fully automated online extrinsic calibration, robust multi-sensor fusion, and real-time performance, eliminating the need for manual calibration and handling hardware perturbations gracefully.
Overview
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
Use Cases
Best For
- Automatically calibrating extrinsic parameters between multiple LiDARs on a vehicle
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
