The inevitable upcoming technology of autonomous vehicles (AVs) will affect our cities and
several aspects of our lives. The widespread adoption of AVs repose at crossing distinct …

This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …

The simplified vehicle model often results in inaccuracy with respect to the conventional
model predictive control (MPC) as it causes steady error in tracking control, which has …

Automatic lane-changing is a complex and critical task for autonomous vehicle control.
Existing researches on autonomous vehicle technology mainly focus on avoiding obstacles; …

Aiming at the local minimum point problem in an artificial potential field based on a safe
distance model, this article proposes an algorithm for active obstacle avoidance path …

This paper presents a multi-agent dynamic lane-changing (LC) trajectory planning method
for CAV. In this method, a decision module is constructed by means of a potential field to …

To enable autonomous vehicles to generate smooth and collision-free trajectories and
improve their driving performance on structured roads, this paper proposes a hierarchical …

Artificial potential field (APF) theory has been extensively applied in traffic path planning as
an efficient method to avoid collision. However, studies in collision avoidance based on APF …

This study addresses the problem of trajectory control for a nano satellite flying very closely
near China Space Station (CSS) with obstacle avoidance. The control law is designed …

Path planning is a crucial technology for autonomous vehicle (AV). However, it is difficult to
adapt to dynamic driving environment, and AV may lose lateral dynamic stability due to high …