LaMa
A C++11 library for efficient robotic localization and mapping, designed for low-resource hardware like Raspberry Pi.
What is LaMa?
LaMa is a C++ library for robotic localization and mapping, providing algorithms for scan matching, SLAM, and 3D volumetric mapping. It solves the problem of performing accurate localization and mapping on low-resource hardware, such as Raspberry Pi, by emphasizing computational efficiency and minimal memory usage.
Robotics researchers and developers working on autonomous systems that require real-time localization and mapping, especially those deploying on embedded or resource-constrained platforms.
Developers choose LaMa for its efficiency and lightweight design, enabling real-time SLAM on minimal hardware like Raspberry Pi, with features like multi-threaded particle filters and compressed sparse-dense mapping as competitive open-source alternatives to tools like OctoMap and GMapping.
Overview
LaMa - A Localization and Mapping library
Use Cases
Best For
- Running SLAM algorithms on Raspberry Pi or other low-spec embedded systems
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