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Abstract-In this paper, we show the concept of an automotive situation analysis (ASA) to determine the current driving situation in a given traffic scenario. To fulfill these we propose a consistent and extendable description of a driving situation, a situation model and a situation analysis. In the situation model, information of in-car sensors is used to build up a representation of the environment around the ego vehicle. On top of the situation model, a situation analysis is established to detect the current driving situation according to the given description of driving situation.Furthermore, we briefly discuss two applications that are using the proposed situation analysis to enhance safety and comfort in next generation automotive applications.

In this paper we present the usage of the Distributed Environment Model (DEM) to supply a proactive sensor system. The proactive sensor-system is a novel approach which combines low-resolution range sensors with high-resolution range sensors. Its aim is to achieve a better cost-benefit ratio on getting accurate knowledge about the environment of a car. We describe the main concepts of the DEM and of the proactive sensor system. Furthermore, we show synergistic effects of the DEM environment knowledge base combined with the efficient object classification done by the proactive sensor system. Finally, an evaluation of the DEM and the proactive sensor system in real traffic scenarios is presented.