Introductory textbook for Kalman and Bayesian filters. All code is written in Python, and the book itself is written in IPython Notebook (now known as Jupyter) so that you can run and modify the code ...

If you program using values that represent anything in the real world, you have probably at least heard of the Kalman filter. The filter allows you to take multiple value estimates and process them ...

This course introduces the Kalman filter as a method that can solve problems related to estimating the hidden internal state of a dynamic system. It develops the background theoretical topics in state ...

Abstract: This study considers the use of Arduino to achieve state of charge (SOC) estimation of lithium-ion batteries by adaptive extended Kalman filter (AEKF). To implement a SOC estimator for the ...

Abstract: Traffic congestion in the city of Dhaka is reaching a new pinnacle every day. Owing to numerous private cars and local buses, the gridlocks in Dhaka city can be termed as one of the worst in ...