This project presents the formulation and implementation of a Kalman filter based dynamic object tracking algorithm. Object tracking is one of the most fundamental problems in the area of visual ...

This project examines some of the popular algorithms used for localization and tracking, including the Kalman filter, Extended Kalman filter, Unscented Kalman filter and the Particle filter.

This is an expository article that develops the Kalman filter from a Cholesky factorization perspective. In particular, the Kalman filter is shown to be a modification of the Cholesky factorization ...

Abstract: This paper delves into the pivotal role of State of Charge (SOC) estimation in electric vehicle (EV) battery management, employing the Extended Kalman Filter (EKF) to enhance accuracy and ...

Abstract: In this paper, high-speed train is regarded as a single prime point, a new tracking control method combining adaptive control and Kalman filtering is proposed. This paper solves the noise ...