With the rapid development of deep learning in recent years, the level of automatic driving
perception has also increased substantially. However, automatic driving perception under …

In the condition of actual obstacle avoidance, where longitudinal deceleration is large and
variable, it is difficult for the autonomous vehicle to simultaneously track longitudinal velocity …

In this article, an active collision avoidance based on improved artificial potential field is
proposed to satisfy collision avoidance for intelligent vehicle. A longitudinal safety distance …

The presented control scheme in this paper aims at stabilizing uncertain time-delayed
systems requiring all states to change within the preset time-varying constraints. The controller …

Ant colony algorithm or artificial potential field is commonly used for path planning of autonomous
vehicle. However, vehicle dynamics and road adhesion coefficient are not taken into …

When faced with an emergency, drivers of human-machine shared driving are prone to
unconsciously generate excessive control, collision avoidance and stability maintenance are two …

Abstract: In order to solve the problems of traditional single control algorithm might not
effectively coordinate the lateral control performance requirements of intelligent vehicles under …

Controlling an autonomous vehicle's unprotected left turn at an intersection is a challenging
task. Traditional rule‐based autonomous driving decision and control algorithms struggle to …

Purpose The purpose of this study is to improve vehicles’ brake stability, the problem of
constraint control for an antilock braking system (ABS) with asymmetric slip ratio constraints is …

Fast and accurate prediction of pedestrian trajectory around vehicles can reduce or even
prevent most traffic accidents and improve the safety of traffic participants. This involves the real…