We present a review and taxonomy of 200 models from the literature on driver behavior
modeling. We begin by introducing a mathematical framework for describing the dynamics of …

This paper presents a novel framework to generate scenarios for the evaluation of
autonomous vehicle safety. The test scenarios are generated by sampling parameters from …

Unsafe lane-changing maneuvers contribute to accidents and merging conflicts due to
variations in traffic states and driver behaviors at on-ramp merging areas. Connected and …

Automated vehicles are expected to enhance driving safety and comfort. In order to fulfil
these expectations, they have to be widely accepted and used. Implementing an acceptable …

Collision avoidance is a key issue for high-speed vehicles in emergency situations,
particularly as it pertains to surrounding vehicles. Accordingly, a hierarchical framework for …

Semantic understanding of multi-vehicle interaction patterns at intersections play a pivotal
role in proper decision-making of autonomous vehicles. This paper presents a flexible …

An essential and challenging task for autonomous vehicles (AVs) is turning at mixed-flow
intersections when they interact with motorized, non-motorized and pedestrian traffic …

We focus on decentralized navigation among multiple non-communicating rational agents at
{\em uncontrolled} intersections, ie, street intersections without traffic signs or signals …

In this paper, we propose a distributed model predictive control strategy for a team of
vehicles moving in an unknown obstacle scenario. In particular, we combine receding …

Fetal magnetic resonance imaging (MRI) is challenged by uncontrollable, large, and
irregular fetal movements. It is, therefore, performed through visual monitoring of fetal motion …