FICHA · AUR
gtsam-git
A library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
- development-library
- LIBRARY
- ROBOTICS
- COMPUTER-VISION
- Dependency only
· official+codex · reviewed · Jun 1, 2026 description in en
Robotics and vision systems can use the development version of a C++ factor-graph library for smoothing and mapping. It is useful for researchers and developers testing current GTSAM changes.
Development numerical libraries can change algorithms or APIs. Revalidate experiments and downstream applications after updates.
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