Devising planning algorithms for autonomous driving is non-trivial due to the presence of
complex and uncertain interaction dynamics between road users. In this paper, we introduce …

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

Autonomous driving is an emerging technology that has advanced rapidly over the last
decade. Modern transportation is expected to benefit greatly from a wise decision-making …

Driving styles play a major role in the acceptance and use of autonomous vehicles. Yet,
existing motion planning techniques can often only incorporate simple driving styles that are …

It is expected that autonomous vehicles (AVs) and heterogeneous human-driven vehicles
(HVs) will coexist on the same road. The safety and reliability of AVs will depend on their …

In public roads, autonomous vehicles (AVs) face the challenge of frequent interactions with
human-driven vehicles (HDVs), which render uncertain driving behavior due to varying …

Quantifying and encoding occupants' preferences as an objective function for the tactical
decision making of autonomous vehicles is a challenging task. This paper presents a low …

Real-world autonomous driving systems must make safe decisions in the face of rare and
diverse traffic scenarios. Current state-of-the-art planners are mostly evaluated on real-world …

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 …

Given the current point-to-point navigation capabilities of autonomous vehicles, researchers
are looking into complex service requests that require the vehicles to visit multiple points of …