This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …

In recent decades, driving assistance systems have been evolving towards personalization
for adapting to different drivers. With the consideration of driving preferences and driver …

Safe and efficient navigation through human crowds is an essential capability for mobile
robots. Previous work on robot crowd navigation assumes that the dynamics of all agents …

Provably safe motion planning for automated road vehicles must ensure that planned
motions do not result in a collision with other traffic participants. This is a major challenge in …

One of the most difficult challenges in robot motion planning is to account for the behavior of
other moving agents, such as humans. Commonly, practitioners employ predictive models to …

Challenges related to automated driving are no longer focused on just the construction of
such automated vehicles (AVs) but also on assuring the safety of operation. Recent …

An outstanding challenge with safety methods for human-robot interaction is reducing their
conservatism while maintaining robustness to variations in human behavior. In this work, we …

Robots such as autonomous vehicles and assistive manipulators are increasingly operating
in dynamic environ-ments and close physical proximity to people. In such scenarios, the …