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rlabbe / Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
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Added control input examples to KF #4

Closed rlabbe closed 8 years ago

rlabbe commented 9 years ago

A lot of people are interested in this book due to the robotics/UAV use of the filters. It is hard to do so when there are no examples of how to account for the control inputs.

rlabbe commented 8 years ago

This was done awhile ago, just closing now.