libRSF
A robust C++ sensor fusion library for online localization using factor graphs and least squares optimization.
What is libRSF?
libRSF is a robust sensor fusion library written in C++ that enables developers to solve localization problems using factor graphs and least squares optimization. It provides tools for modeling estimation problems, handling non-Gaussian noise with robust error models, and processing data in real-time with a sliding window filter. The library is designed to address challenges in accurate position estimation for applications like robotics and autonomous vehicles.
Robotics engineers, autonomous systems developers, and researchers working on real-time localization and sensor fusion problems. It's particularly suited for those implementing or experimenting with factor graph-based estimation in C++.
Developers choose libRSF for its combination of robustness, real-time capabilities, and flexibility in handling complex sensor fusion tasks. Its integration with Ceres Solver, predefined localization cost functions, and support for self-tuning Gaussian mixtures provide a powerful, open-source alternative to proprietary sensor fusion solutions.
Overview
A robust sensor fusion library for online localization.
Use Cases
Best For
- Implementing real-time localization for autonomous vehicles
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