Article

Analysis of GTSAM Factor Graph Smoothing and Incremental Pose Estimation

The article analyzes GTSAM factor graph state estimation, introduces how pose graph and IMU preintegration factors are constructed, and conducts a comparison experiment between batch LM and iSAM2 incremental solving. It also analyzes the process by which loop closure detection triggers global correction, as well as numerical validation of incremental inference on the Bayes tree.

Part of the event: An Analysis of GTSAM Factor Graph Smoothing and Incremental Pose Estimation

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