Planning appropriate driving trajectory for route following is an important function for
autonomous driving. Behavioral cloning, which allows automatic trajectory learning and …

This paper deals with robust cooperative control of connected and automated vehicles
(CAVs) with special consideration of the coupled safety inter-vehicle distance constraints. To …

In this study, to improve the accuracy of path tracking in intelligent vehicles, we propose an
intelligent vehicle path-tracking control method based on improved model predictive control …

Self-driving vehicles have their own intelligence to drive on open roads. However, vehicle
managers, eg, government or industrial companies, still need a way to tell these self-driving …

This paper proposes a double-layer model predictive control (MPC) algorithm for the
integrated path planning and trajectory tracking of autonomous vehicles on roads. The …

Trajectory tracking is a key technology for precisely controlling autonomous vehicles. In this
paper, we propose a trajectory-tracking method based on model predictive control. Instead …

Mediating the divergent interest of vehicle stability and strengthened path tracking
performance when aiming at the design of a path tracking controller for autonomous …

This paper proposes an approximate optimal curve-path-tracking control algorithm for
partially unknown nonlinear systems subject to asymmetric control input constraints. Firstly …

Motion planning by considering it as an optimal problem is an effective and widely
applicable method. Its comprehensive performance greatly depends on the vehicle …

This study focuses on improving the trajectory tracking control for intelligent vehicles in high-
speed and large curvature limit conditions. To this end, a high-precision five-degree-of …