Project Overview This project implements an Unscented Kalman Filter (UKF) to track multiple vehicles in a simulated highway environment. The filter fuses noisy LiDAR and Radar sensor data to estimate ...

Tracking of a ballistic target in its reentry phase by considering the radar measurements is a highly complex problem in nonlinear filtering. Kalman Filter (KF) is used to estimate the positions of ...

The extended Kalman filter, which linearizes the relationship between security prices and state variables, is widely used in fixed-income applications. We investigate whether the unscented Kalman ...

State-of-charge estimation for lithium-ion battery pack based on Unscented Kalman Filter considering cell inconsistency Abstract: The accuracy of battery state of charge (SOC) estimation has ...

Distributed electric drive technology has become an important trend because of its ability to enhance the dynamic performance of multi-axle heavy vehicle. This article presents a joint estimation of ...