The field of trajectory forecasting has grown significantly in recent years, partially owing to
the release of numerous large-scale, real-world human trajectory datasets for autonomous …

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

Safety and performance are key enablers for autonomous driving: on the one hand we want
our autonomous vehicles (AVs) to be safe, while at the same time their performance (eg …

Goal recognition (GR) involves inferring the goals of other vehicles, such as a certain
junction exit, which can enable more accurate prediction of their future behaviour. In …

Limited visibility and sensor occlusions pose pressing safety challenges for advanced driver-
assistance systems (ADAS) and autonomous vehicles (AVs). In this work, our pursuit was to …

Many problems in robotics seek to simultaneously optimize several competing objectives. A
conventional approach is to create a single cost function comprised of the weighted sum of …

When designing a motion planner for autonomous robots there are usually multiple
objectives to be considered. However, a cost function that yields the desired trade-off …

Visibility is a crucial aspect of planning and control of autonomous vehicles (AV), particularly
when navigating environments with occlusions. However, when an AV follows a trajectory …

Occlusion-aware decision-making is essential in autonomous driving due to the high
uncertainty of various occlusions. Recent occlusion-aware decision-making methods …

Reliable perception is a key prerequisite for safe operation of robots and autonomous
vehicles. The future of the field relies on public trust and provable correctness of behavior in …