This project implements a Kalman Filter for estimating the State of Charge (SOC) of a battery using a simplified Equivalent Circuit Model (ECM). The model assumes a linear Open Circuit Voltage ...

This project implements object tracking using Kalman filters, based on the CS6476 Computer Vision course assignment. The implementation provides robust tracking capabilities for various objects in ...

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, ...

It appears that no particular approximate [nonlinear] filter is consistently better than any other, though . . . any nonlinear filter is better than a strictly linear one. 1 The Kalman filter is a ...

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: In the actual operating environment of trains, the state model often exhibits nonlinear characteristics, and the Kalman filter and its related theories are commonly used for accurate ...