One of the greatest challenges towards fully autonomous cars is the understanding of
complex and dynamic scenes. Such understanding is needed for planning of maneuvers …

Predicting future events accurately is a task of great importance for autonomous vehicles. In
this work we focus on lane change events. For this, we propose a novel attention …

Machine learning approaches often lack safety guarantees, which are often a key
requirement in real-world tasks. This paper addresses the lack of safety guarantees by …

Predicting driver behavior in general, and the problem of predicting an impending lane
change in particular have been studied in the community under different aspects and setups …

In highway driving scenarios it is important for highly automated driving systems to be able
to recognize and predict the intended maneuvers of other drivers in order to make robust …

Predicting lane-changing intentions has long been a very active area of research in the
autonomous driving community. However, most of the literature has focused on individual …

Making the right decision in traffic is a challenging task that is highly dependent on
individual preferences as well as the surrounding environment. Therefore it is hard to model …

Lane change (LC) is one of the safety-critical manoeuvres in highway driving according to
various road accident records. Thus, reliably predicting such manoeuvre in advance is …

Compared with the lane keeping maneuvers, lane changing maneuvers are much more
complicated. Inappropriate ones may result in traffic accidents. Therefore, it is necessary to …

Lane changing behavior causes a considerable proportion of traffic accidents. Effective
decision-making strategies for autonomous vehicles are promising to enhance traffic safety …