Creating rational driving options and designing the decision process to select the best
solution in a traffic situation with multiple participants present is a challenging problem …

In order to drive safely and efficiently under merging scenarios, autonomous vehicles should
be aware of their surroundings and make decisions by interacting with other road …

Understanding the intention of vehicles in the surrounding traffic is crucial for an
autonomous vehicle to successfully accomplish its driving tasks in complex traffic scenarios …

Cooperative intelligent transportation systems (ITS) are used by autonomous vehicles to
communicate with surrounding autonomous vehicles and roadside units (RSU). Current C …

Highway merging is a challenging task for an autonomous vehicle, because the vehicle
must interact with other vehicles to identify a gap to merge into before the ending of current …

Cooperative driving behavior is essential for driving in traffic, especially for ramp merging,
lane changing or navigating intersections. Autonomous vehicles should also man-age these …

In order to generate favorable trajectories, road users need to cope with interaction among
them, especially in dense traffic. Thus, for autonomous cars, the intention of involved …

Autonomous vehicles can make local decisions based on the perception of their
environments. However, individual decisions do not always result in the most efficient …

Driving is a social activity: drivers often indicate their intent to change lanes via motion cues.
We consider mixed-autonomy traffic where a Human-driven Vehicle (HV) and an …

With the development of autonomous driving, it is becoming increasingly common for
autonomous vehicles (AVs) and human-driven vehicles (HVs) to travel on the same roads …