Learning from human driver's strategies for solving complex and potentially dangerous
situations including interaction with other road users has the potential to improve decision …

In order to facilitate safe interactions between automated vehicles (AVs) and vulnerable road
users (VRUs) such as bicyclists, we present a communication application for mobile devices …

In urban environments traffic safety is primarily determined by the successful interaction
between road users. In order to define behavioral requirements for future autonomous …

Interactions between vehicles and pedestrians have always been a major problem in traffic
safety. Experienced human drivers are able to analyze the environment and choose driving …

A frequently raised argument against safely-driving automated vehicles is that they would
not harmonize well with traffic flow-unrealistically large headways would invite other traffic …

Nearly 1.3 million people die each year in traffic-related accidents, whereas an additional 20-
50 million people are injured. Introducing autonomous vehicles would aim to reduce these …

On the highway, human drivers continuously make decisions adapting their driving
behavior. In some of these, for example near highway ramp-entrances, they adjust intuitively …

This paper presents a white-box intention-aware decision-making for the handling of
interactions between a pedestrian and an automated vehicle (AV) in an unsignalized street …

Highly automated test vehicles are rare today, and (independent) researchers have often
limited access to them. Also, developing fully functioning system prototypes is time and effort …

This paper proposes a novel approach to risk assessment at road intersections. Unlike most
approaches in the literature, it does not rely on trajectory prediction. Instead, dangerous …