The autonomous vehicle is regarded as a promising technology with the potential to
reshape mobility and solve many traffic issues, such as accessibility, efficiency …

In this paper, we proposed a new risk assessment based decision-making algorithm to
guarantee collision avoidance in multi-scenarios for autonomous vehicles. A probabilistic …

This paper presents a novel integrated approach to deal with the decision making and
motion planning for lane-change maneuvers of autonomous vehicle (AV) considering social …

In this paper, we propose a decision-making framework for autonomous driving at road
intersections that determines appropriate maneuvers for an autonomous vehicle to navigate …

Driving safety is the most important element that needs to be considered for autonomous
vehicles (AVs). To ensure driving safety, we proposed a lane change decision-making …

From the driving strategy point of view, a major challenge for autonomous vehicles in urban
environment is to behave defensively to potential dangers, yet to not overreact to threats with …

Decision-making for autonomous driving is challenging, considering the complex
interactions among multiple traffic agents (including autonomous vehicles (AVs), human …

In order to improve the real-time and computational efficiency of autonomous vehicles'
decision-making process, this paper draws on the decision-making behavior of human …

Intersections have been identified as the most complex and accident‐prone traffic scenarios
on road. Making appropriate decisions at intersections for driving safety, efficiency, and …

Intelligent‐driving technologies play crucial roles in reducing road‐traffic accidents and
ensuring more convenience while driving. One of the significant challenges in developing …