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 …

The large-scale deployment of autonomous vehicles is yet to come, and one of the major
remaining challenges lies in urban dense traffic scenarios. In such cases, it remains …

Research at the intersection of robots and dance promises to create vehicles for expression
that enable new creative pursuits and allow robots to function better, especially in human …

Vision-based prediction algorithms have a wide range of applications including autonomous
driving, surveillance, human-robot interaction, weather prediction. The objective of this …

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 …

This paper describes the design, implementation, and evaluation of a virtual target-based
overtaking decision, motion planning, and control algorithm for autonomous vehicles. Both …

Recognising the goals or intentions of observed vehicles is a key step towards predicting the
long-term future behaviour of other agents in an autonomous driving scenario. When there …

Autonomous vehicles must reason about spatial occlusions in urban environments to ensure
safety without being overly cautious. Prior work explored occlusion inference from observed …

Autonomous navigation in crowded spaces poses a challenge for mobile robots due to the
highly dynamic, partially observable environment. Occlusions are highly prevalent in such …

Navigating complex and dynamic environments requires autonomous vehicles (AVs) to
reason about both visible and occluded regions. This involves predicting the future motion of …