As more and more autonomous vehicles (AVs) are being deployed on public roads,
designing socially compatible behaviors for them is becoming increasingly important. In …

Planning under social interactions with other agents is an essential problem for autonomous
driving. As the actions of the autonomous vehicle in the interactions affect and are also …

Accurately predicting future behaviors of surrounding vehicles is an essential capability for
autonomous vehicles in order to plan safe and feasible trajectories. The behaviors of others …

Autonomous cars have to navigate in dynamic environment which can be full of
uncertainties. The uncertainties can come either from sensor limitations such as occlusions …

Typically, autonomous cars optimize for a combination of safety, efficiency, and driving
quality. But as we get better at this optimization, we start seeing behavior go from too …

As Autonomous Vehicles (AV) are becoming a reality, the design of efficient motion control
algorithms will have to deal with the unpredictable and interactive nature of other road users …

Building autonomous vehicles (AVs) is a complex problem, but enabling them to operate in
the real world where they will be surrounded by human-driven vehicles (HVs) is extremely …

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 …

The advent of autonomous vehicles (AVs) alongside human-driven vehicles (HVs) has
ushered in an era of mixed traffic flow, presenting a significant challenge: the intricate …

Automated vehicles can change the society by improved safety, mobility, and fuel efficiency.
However, due to the higher cost and change in business model, over the coming decades …