Before autonomous vehicles are widely spread, they will share the roads with non-
autonomous cars. Furthermore, to ensure functional safety of the self-driving cars, the cause …

In order to improve the efficiency and safety of autonomous vehicles' decision-making
process in complex urban scenarios, a decision-making method for hierarchical processing …

Over the past several decades, the development of technologies and the production of
autonomous vehicles have enhanced the need for intelligent intersection management …

Uncontrolled intersections with interaction and uncertainties are challenging for autonomous
vehicles (AV) to manage. In this work, we propose a decision-making model specific to …

In autonomous driving systems, many approach have been developed based on high-
precision sensors, high computing power, development of various networks in academia …

The operational space of an autonomous vehicle (AV) can be diverse and vary significantly.
Due to this, formulating a rule based decision maker for selecting driving maneuvers may …

Intersection is one of the most complex and accident-prone urban traffic scenarios for
autonomous driving wherein making safe and computationally efficient decisions with high …

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 …

Applications that use communication networks and distributed systems to control traffic have
high latency, especially in critical situations. The performance of these applications largely …

Due to the complex and dynamic character of intersection scenarios, the autonomous
driving strategy at intersections has been a difficult problem and a hot point in the research …