In this article, we propose a novel personalized planning and control approach for lane
change assistance system which can efficiently learn a model prediction control (MPC) …

This paper describes a lane-changing motion planning model for intelligent vehicles under
constraints of collision avoidance in dynamical driving environments. The key innovation is …

Car-following and Lane-changing are two fundamental tasks during driving. While many car-
following models can be applied, relatively, only a few lane-changing models have been …

In recent years, significant emphases and efforts have been placed on developing and
implementing advanced driver assistance systems (ADAS). These systems need to work …

This paper proposes an adaptive lane change trajectory planning scheme to road friction
and vehicle speed for autonomous driving, while considering both the maneuver safety and …

In the background of autonomous driving at level 3 to level 4, an automated vehicle should
own smarter driving brain to face complicated transportation situations. In order to construct …

Maneuver decision-making and trajectory planning play important roles in autonomous
driving since a safe and flexible decision module is indispensable for navigation. Typical …

An in-depth study on driving habits and personalized driving-assistance systems is
conducive to the realization of vehicle safety and intelligent driving. In this paper, we present …

Drivers continually interact with other road users and use information from the road
environment to make decisions to control their vehicle. A clear understanding of different …

Though automated vehicles (AVs) are believed to play a crucial role in future transport,
human driving vehicles will share the road with automated vehicles for a relatively long …