Moving Vehicle Tracking Based on Unscented Kalman Filter Algorithm

Abstract

Based on many model tracking methods, this paper presents a new moving vehicle model. In this new model, unscented Kalman filter is used to track the moving vehicle. The model is simple but more accurate to describe the characters of moving vehicle. The simulation and experiment results of the model indicate that the algorithm efficiently solves the problem of nonlinear moving object tracking.