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 ...

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 ...

I want to know how the plots in the book are made, and chose different parameters than the author chose. I want to run simulations. I want to inject more noise in the signal and see how a filter ...

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 Outdated tracking technologies cause false detections or tracking drift in autonomous ...