Incremental Smoothing and Mapping (iSAM): An Efficient Approach to Full-Trajectory SLAM
iSAM is an incremental optimizer based on the GTSAM framework, designed for full-trajectory SLAM. It builds upon the Square Root SAM method, enabling incremental optimization for landmark-based SLAM. Core Principles The primary concept involves linearizing the nonlinear SLAM problem in to the form (...