This work addresses the task of risk evaluation in traffic scenarios with limited observability
due to restricted sensorial coverage. Here, we concentrate on intersection scenarios that are …

Map-based self-localization estimates the pose of the self-driving vehicle in an environment,
becoming an essential part of autonomous driving tasks. Generally, maps used in self …

The growing complexity of intelligent transportation systems and their applications in public
spaces has increased the demand for expressive and versatile knowledge representation …

We consider the problem of intelligently navigating through complex traffic. Urban situations
are defined by the underlying map structure and special regulatory objects of eg a stop line …

A control unit and method for an autonomous and/or semi-autonomous ego vehicle are
provided. The control unit is configured to determine a course of an ego lane, referred to as …

New driver assistance systems are continuously being introduced to support drivers in
complex traffic situations, with the goal of reducing the number of accidents on the road …