GTSAM (Georgia Tech Smoothing and Mapping library) is a C++ library that implements factor graphs and Bayesian networks using efficient sparse matrix methods. It is widely used in robotics, computer vision, and related fields for solving estimation problems, such as simultaneous localization and mapping (SLAM), structure from motion, and sensor fusion. GTSAM provides a powerful and flexible framework for representing and solving complex probabilistic models.
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