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pose-graph-slam

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spsingh37 / Bayesian-filtering-and-SLAM

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This is a comprehensive project focused on implementing popular algorithms for state estimation, robot localization, 2D mapping, and 2D & 3D SLAM. It utilizes various types of filters, including the Kalman Filter, Extended Kalman Filter, Unscented Kalman Filter, and Particle Filter.

particle-filter unscented-kalman-filter state-estimation kalman-filter gtsam target-tracking occupancy-grid-map extended-kalman-filter pose-graph-slam 2d-slam bayesian-filtering invariant-extended-kalman-filter 3d-slam
  • Updated Sep 8, 2024
  • Jupyter Notebook

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