Another absolutely fantastic resource is this Jupyter Notebook based textbook on Kalman Filters and related topics: https://github.com/rlabbe/Kalman-and-Bayesia

Another absolutely fantastic resource is this Jupyter Notebook based textbook on Kalman Filters and related topics: https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Pyt... An addition to your correction: there are many other ways to solve the SLAM problem beyond (kalman/information/particle) filters. Optimization based approaches are very popular (search terms: Graph SLAM, Factor Graphs, Pose Graphs).