Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...

"Kalman and Bayesian Filters in Python" looks amazing! ... your book is just what I needed - Allen Downey, Professor and O'Reilly author. Thanks for all your work on publishing your introductory text ...

As a follow-on course to "Kalman Filter Boot Camp", this course derives the steps of the linear Kalman filter to give understanding regarding how to adjust the method to applications that violate the ...

Abstract: This article presents a generalized, converted measurement Kalman filter for problems with a linear state equation and nonlinear measurement equation. This filter, called the precision ...

Abstract: Object tracking in computer vision is difficult due to occlusion, rapid motion, and changing light. Outdated tracking technologies cause false detections or tracking drift in autonomous ...