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 ...

This project demonstrates the application of a linear Kalman filter for smoothing and tracking noisy gaze-related measurements extracted from video data using OpenCV. The system extracts eye center ...

Kalman filters have long stood as a cornerstone in the field of target tracking and state estimation, providing an optimally recursive solution for estimating the state of dynamic systems in 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 ...

The space station is a bridgehead for human space exploration missions. During its construction, operation, and maintenance, there are a variety of tasks that need to be performed. However, the space ...

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: When noise characteristics are unknown or target motion is irregular, the performance degradation appears by using the Kalman filter in video target tracking. A video object tracking ...