Introductory textbook for Kalman and Bayesian filters. All code is written in Python, and the book itself is written in IPython Notebook (now known as Jupyter) so that you can run and modify the code ...
Abstract: State estimation is a core capability for autonomous systems such as satellites and planetary rovers. Kalman filters provide a computationally efficient way to determine the values of state ...
If you program using values that represent anything in the real world, you have probably at least heard of the Kalman filter. The filter allows you to take multiple value estimates and process them ...
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