The comprehension of a traffic situation plays a major role in driving a vehicle. Interpretable
information forms a basis for future projection, decision making and action performing, such …

This work provides an approach to create a generic situation description for advanced driver
assistance systems using logic reasoning on a traffic situation knowledge base. It contains …

Co-operative driver assistance systems share information about their surrounding with each
other, thus enhancing their knowledge and their performance. For successful information …

Driving assistance systems (DAS) offer support in potentially dangerous situations,
especially for unexperienced drivers. Co-operative systems improve their performance by …

Modern vehicles include advanced driving assistance systems for comfort and active safety
features. Whilst these systems contribute to the reduction of road accidents, their deployment …

Knowledge representation and reasoning has a long history of examining how knowledge
can be formalized, interpreted, and semantically analyzed by machines. In the area of …

Increasing traffic density enforces development of Advanced Driver Assistance Systems to
cope with safety aspects. Such systems require serious amount of sensor data to deduce …

We present an integrated vehicular system for the collection, management, and provision of
context-aware information on traffic and driver location. This system uses an integrated …

Information overload is a severe problem for human operators of large-scale control systems
as, for example, encountered in the domain of road traffic management. Operators of such …

In this paper, we presented our innovative way of determining the driving context for a
driving assistance system. We invoke the fusion of all parameters that describe the context of …