Abstract: Kalman filters are a mature and widely used technology in the field of engineering. However, its implementation is sometimes not trivial and usually not well explained in scientific papers.

If we are hiring someone such as a carpenter or an auto mechanic, we always look for two things: what kind of tools they have and what they do when things go wrong. For many types of embedded systems, ...

The Kalman Filter is a recursive algorithm for optimal estimation of dynamic systems under uncertainty. Widely used across disciplines, it combines prediction and correction to filter noisy ...

This project implements and demonstrates various Kalman filtering techniques for state estimation in dynamic systems, with a focus on applications in autonomous systems. It covers the fundamental ...

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: To achieve accurate sensorless position estimation for switched reluctance motors (SRMs) and enhance the robustness of the estimation, this article proposes a Mahalanobis distance (MD)-based ...