Abstract Model-based predictive control (MPC) describes a set of advanced control
methods, which make use of a process model to predict the future behavior of the controlled …

Thanks to their road safety potential, automated vehicles are rapidly becoming a reality. In
the last decade, automated driving has been the focus of intensive automotive engineering …

This paper presents a novel motion planning and tracking framework for automated vehicles
based on artificial potential field (APF) elaborated resistance approach. Motion planning is …

Artificial potential fields and optimal controllers are two common methods for path planning
of autonomous vehicles. An artificial potential field method is capable of assigning different …

Autonomous pilot is crucial in integrally promoting the autonomy of an unmanned surface
vehicle (USV). However, the integration mechanism of decision and control is still unclear …

This paper presents a comprehensive review of power management strategy (PMS) utilized
in hybrid electric vehicles (HEVs) with an emphasis on model predictive control (MPC) …

Path planning and integrated scheduling are two important problems to be resolved in the
design of any automated container terminal. There has been relatively little research …

The adapting of lateral deviation during the change of road curvature with less error, system
settling time, and overshoot is the main challenge against the steering angle control of …

This paper presents a real-time dynamic path planning method for autonomous driving that
avoids both static and moving obstacles. The proposed path planning method determines …

Autonomous vehicle technology aims to improve driving safety, driving comfort, and its
economy, as well as reduce traffic accident rate. As the basic part of autonomous vehicle …