In recent years, automated driving has gained the public spotlight as more prototypes are
tested amongst human drivers. Since driving is a social behavior, automated vehicles (AVs) …

As automated vehicles begin operating on complex urban roads, precise decision making
for automated driving has been increasingly important for safe automated driving. In …

Autonomous vehicles (AVs) need to interact with other traffic participants who can be either
cooperative or aggressive, attentive or inattentive. Such different characteristics can lead to …

Autonomous vehicles need to perform social accepted behaviors in complex urban
scenarios including human‐driven vehicles with uncertain intentions. This leads to many …

State of the art emergency brake assistant systems solely based on sensor measurements
reduced the number of traffic accidents and casualties drastically in recent years. In order to …

The ability of autonomous vehicles to successfully replace human drivers depends on their
capability to plan safe, efficient and usable paths in dynamically evolving traffic scenarios …

Recently, automated driving has more and more been transformed from an exciting vision
into hands on reality by prototypes. While drivers are used to assistance and maybe even …

Decision making under uncertainty is a key challenge in automated driving. A source of
uncertainty is the unknown driving behavior of other traffic participants surrounding the …

Autonomous driving requires decision making in dynamic and uncertain environments. The
uncertainty from the prediction originates from the noisy sensor data and from the fact that …

In this work, we present a decision-making system for automated vehicles driving in highway
environments. The task is modeled as a Partially Observable Markov Decision Process, in …