FICHA · AUR

gtsam

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

Description

Robotics and vision systems can solve smoothing and mapping problems with C++ classes based on factor graphs and Bayes networks. It is useful for SLAM, sensor fusion, and state-estimation research.

Numerical robotics libraries affect navigation and perception results. Validate models, assumptions, and datasets before using output in real robots or safety-sensitive systems.

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