Real-time, accurate prediction of human steering behaviors has wide applications, from
developing intelligent traffic systems to deploying autonomous driving systems in both real …

Automated vehicles (AVs) can bring about numerous benefits for society but they are
unprepared to enter our roads yet, in large part because of the difficulties in interacting with …

As a core part of an autonomous driving system, motion planning plays an important role in
safe driving. However, traditional model-and rule-based methods lack the ability to learn …

Predicting driver intentions is a difficult and crucial task for advanced driver assistance
systems. Traditional confidence measures on predictions often ignore the way predicted …

In recent years, the design of models for performing the trajectory prediction task, one of the
critical tasks in autonomous driving, has received great attention from researchers. However …

Accurate motion prediction of pedestrians, cyclists, and other surrounding vehicles (all
called agents) is very important for autonomous driving. Most existing works capture map …

Widespread adoption of autonomous vehicles will not become a reality until solutions are
developed that enable these intelligent agents to co-exist with humans. This includes safely …

Intention prediction is a crucial task for Autonomous Driving (AD). Due to the variety of size
and layout of intersections, it is challenging to predict intention of human driver at different …

With the unprecedented shift towards automated urban environments in recent years, a new
paradigm is required to study pedestrian behaviour. Studying pedestrian behaviour in …

Motion forecasting in highly interactive scenarios is a challenging problem in autonomous
driving. In such scenarios, we need to accurately predict the joint behavior of interacting …