Trajectory tracking and state estimation are significant in the motion planning and intelligent
vehicle control. This article focuses on the model predictive control approach for the …

This paper presents road-map-assisted standoff tracking of a ground vehicle using nonlinear
model predictive control. In model predictive control, since the prediction of target movement …

To improve the stability of the autonomous vehicle for high speed tracking, a vehicle
estimator scheme integrated into a path-tracking system has been proposed in this paper …

In order to meet the high cost requirement of some vehicle states measured directly in
vehicle active safety control system, an approach using the Extended Kalman Filter to …

This paper proposes a trajectory tracking control method combining extended Kalman filter
(EKF) and robust tube-based model predictive control (RTMPC) methods to improve the anti …

This study presented a model predictive tracking control algorithm of autonomous truck
based on object state estimation using extended Kalman filter. To design the model, the 1 …

The vehicle trajectory tracking algorithm is one of the key and difficult issues of intelligent
driving technologies. In current control algorithms for the vehicle trajectory tracking, there are …

The trajectory tracking issue of unmanned vehicles has attracted much attention recently,
with the rapid development and implementation of sensing, communication, and computing …

Efficient trajectory tracking approaches can enable autonomous vehicles not only to get a
smooth trajectory but to achieve a lower energy dissipation. Since vehicle model plays an …

In this paper, the unmanned vehicle trajectory tracking problems were studied. In order to
improve the stability of unmanned vehicles, the trajectory tracking control algorithm based …