Learning Notebook - David Rostcheck
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Plan of Talk 1 Formulation Graphical Model of SLAM Online SLAM Full SLAM Motion model and Measurement model 2 Filters Extended Kalman Filter Sparse Extended Information Filter 3 Particle Filters SIR Particle Filter FastSLAM 4 Optimization-based SLAM Nonlinear least squares formulation Direct methods Sparsity of information matrix SAM Pose graph Iterative methods 5 Submapping 6 Data Association / Loop Closing
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Read looking for insight on linearization
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