Abstract
Driving assistance systems (DAS) offer support in potentially dangerous situations, especially for unexperienced drivers. Co-operative systems improve their performance by sharing information with each other. One key-enabler for describing and exchanging context between intelligent vehicles, which use it for reasoning about their environment, is a common context-model. In this paper, we briefly discuss 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 reasoning system, based on a set of transformation rules.
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Published on 01/01/2009
Volume 2009, 2009
DOI: 10.4108/icst.ambisys2008.2869
Licence: CC BY-NC-SA license
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