A model for ontology-based scene description for context-aware driver assistance systems

Driving assistance systems (DAS) offer support in poten-tially dangerous situations, especially for unexperienced dri-vers. Co-operative systems improve their performance by sharing information with each other. One key-enabler for describing and exchanging context between intelligent ve-hicles, which use it for reasoning about their environment, is a common context-model. In this paper, we briefly dis-cuss the influence of the driving context on decision-making and present an OWL-based context-model for abstract scene representation of driving scenarios. We further outline the integration of scene-descriptions with a logic-based reason-ing system, based on a set of transformation rules