Research Article
A Model for Ontology-Based Scene Description for Context-Aware Driver Assistance Systems
@INPROCEEDINGS{10.4108/ICST.AMBISYS2008.2869, author={Simone Fuchs and Stefan Rass and Bernhard Lamprecht and Kyandoghere Kyamakya}, title={A Model for Ontology-Based Scene Description for Context-Aware Driver Assistance Systems}, proceedings={1st International ICST Conference on Ambient Media and Systems}, publisher={ICST}, proceedings_a={AMBI-SYS}, year={2010}, month={5}, keywords={I.2.4 [Arti¯cial Intelligence]: Knowledge Representation Formalism and Methods; I.2.10 [Arti¯cial Intelligence]: Vision and Scene Understanding}, doi={10.4108/ICST.AMBISYS2008.2869} }- Simone Fuchs
Stefan Rass
Bernhard Lamprecht
Kyandoghere Kyamakya
Year: 2010
A Model for Ontology-Based Scene Description for Context-Aware Driver Assistance Systems
AMBI-SYS
ICST
DOI: 10.4108/ICST.AMBISYS2008.2869
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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