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 ...

The book is written as a collection of IPython Notebooks, an interactive, browser based system that allows you to combine text, Python, and math into your browser. Github is able to render the ...

Fish show rapid movements in various behavioral activities or associated with the presence of food. However, in periods of rapid movement, the rate at which occlusion occurs among the fish is quite ...

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 ...

High precision is a very important index in target tracking. In order to improve the prediction accuracy of target tracking, an optimized Kalman filter approach based on improved Gray Wolf algorithm ...

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 Outdated tracking technologies cause false detections or tracking drift in autonomous ...

Have you ever wondered how systems like GPS navigation, autonomous vehicles, or spacecraft tracking estimate their position so accurately despite noisy sensor data? One of the key algorithms behind ...

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 ...

YOLOv11 human detection + Kalman Filter tracking + MAVLink integrated into a single pipeline. Deploying on Raspberry Pi Zero 2W onboard the FUKUSHIMA H7 for fully autonomous tracking in GPS-denied ...