On co-estimation and validation of vehicle driving states by a UKF-based approach
It is necessary to acquire the accurate information of vehicle driving states for the implementation of automobile active safety control.To this end, this paper proposes an effective co-estimation method based on an unscented Kalman filter (UKF) algorithm to accurately predict the sideslip angle, yaw rate, and longitudinal speed of a ground vehicle