Recently significant progress has been made in vehicle prediction and planning algorithms
for autonomous driving. However, it remains quite challenging for an autonomous vehicle to …

Autonomous driving requires efficient and safe decision making and motion planning in
dynamic and uncertain environments. Future movement of surrounding vehicles is often …

Active suspension systems (ASSs) are crucial for realizing the improvement demand of ride
comfort in autonomous vehicles (AVs). This paper presents a novel integrated robust …

This paper presents a sliding mode control (SMC)-based path-tracking algorithm for
autonomous vehicles by considering model-free adaptive feedback actions. In autonomous …

In dense traffic scenarios, ensuring safety while keeping high task performance for
autonomous driving is a critical challenge. To address this problem, this paper proposes a …

In this paper, a novel algorithm is proposed for the motion planning and path following
automated cars with the incorporation of a collision avoidance strategy. This approach is …

Autonomous Vehicles (AVs) have the potential to generate socioeconomic benefits by
reducing commute times, accidents and energy consumption. Ergonomists have foreseen …

Overtaking is a maneuver that consists of passing another vehicle traveling on the same
trajectory, but at a slower speed. Overtaking is considered one of the most dangerous …

Most of the existing research in the field of autonomous vehicles (AVs) addresses decision
making, planning and control as separate factors which may affect AV performance in …

This study proposes a new integrated approach to the motion control of autonomous
vehicles, which differs from the conventional method of treating planning and tracking tasks …