Rapid advancements in automated vehicles (AVs) technology have transformed the
measurability, controllability, and unpredictability of transportation systems. Evaluating …

This article advances state-of-the-art automated driving systems with a comprehensive
framework that encompasses decision making, maneuver planning, and trajectory tracking …

This research aims at developing new methods that predict the behaviors of the human
driven traffic participants to enable safe operation of autonomous vehicles in complex traffic …

With the maturation of autonomous driving technology, the use of autonomous vehicles in a
socially acceptable manner has become a growing demand of the public. Human-like …

Drivers' cognitive mechanisms could benefit the development of human-like automated
driving (AD) strategies, which are with high intelligence and comfort levels. The common …

In this review, we provide an overview of emerging trends and challenges in the field of
intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …

Human errors contribute to 94%(±2.2%) of road crashes resulting in fatal/non-fatal
causalities, vehicle damages and a predicament in the pathway to safer road systems …

During the past few decades automakers have consistently introduced technological
innovations aimed to make road vehicles safer. The level of sophistication of these …

In motion planning for automated vehicles, a thorough uncertainty consideration is crucial to
facilitate safe and convenient driving behavior. This work presents three motion planning …

Driving is a very challenging task to automatize despite how naturally and efficiently it may
come to experienced human drivers. The complexity stems from the need to (i) understand …