GitHub repository
A modular C++ and ROS 2 framework for building configurable LiDAR odometry and SLAM pipelines.
What is GitHub repository?
MOLA is a modular optimization framework for localization and mapping (SLAM) designed for robotics applications. It provides configurable pipelines for LiDAR odometry, sensor fusion, and map creation, solving the problem of building customizable, high-performance navigation systems. The framework enables researchers and developers to assemble and experiment with different SLAM components without rewriting core infrastructure.
Robotics researchers, autonomous vehicle developers, and engineers working on SLAM, localization, and sensor fusion systems who need a flexible, high-performance framework. It's particularly valuable for those using LiDAR and inertial sensors in ROS 2 environments.
Developers choose MOLA for its modular architecture that allows easy customization of SLAM pipelines, its native ROS 2 integration while maintaining standalone C++ usability, and its proven performance in real-world LiDAR odometry scenarios demonstrated through published research and benchmarks.
Overview
A Modular Optimization framework for Localization and mApping (MOLA)
Use Cases
Best For
- Building custom LiDAR-inertial odometry (LIO) systems for autonomous vehicles
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