No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …

Ensuring the safety of autonomous vehicles (AV s) in uncertain traffic scenarios is a major
challenge. In this paper, we address the problem of computing the risk that AV s violate a …

Autonomous vehicle (AV) technology is widely studied in both industrial and academic
communities since it is regarded as a promising means for improving transportation safety …

In this paper, we introduce” risk contours map” that contains the risk information of different
regions in uncertain environments. Risk is defined as the probability of collision of robots …

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

This paper introduces Probabilistic Buffered Voronoi Cell (PBVC) collision avoidance for
multiple robots using noisy on-board sensing. The work builds upon the previously …

Decentralized control schemes are increasingly favored in various domains that involve
multi-agent systems due to the need for computational efficiency as well as general …

Despite the structure of road environments, imposed via geometry and rules, traffic flows
exhibit complex multiagent dynamics. Reasoning about such dynamics is challenging due to …

Autonomous control of an emergency vehicle will save lives through faster transport and
shorter response. Towards this goal, it must overcome the challenge of inter-acting with …

By considering lane change maneuver as primarily a Partial Observed Markov Decision
Process (POMDP) and motion planning problem, this paper presents an interactive model …