A Model for Ontology-Based Scene Description for Context-Aware Driver Assistance Systems

Simone Fuchs; Stefan Rass; Bernhard Lamprecht; Kyandoghere Kyamakya

1st International ICST Conference on Ambient Media and Systems

Research Article

A Model for Ontology-Based Scene Description for Context-Aware Driver Assistance Systems

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@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

Simone Fuchs¹^,*, Stefan Rass¹^,*, Bernhard Lamprecht¹^,*, Kyandoghere Kyamakya¹^,*

1: Transportation Informatics Group, Department of Smart System-Technologies, University of Klagenfurt

*Contact email: simone.fuchs@uni-klu.ac.at, stefan.rass@uni-klu.ac.at, bernhard.lamprecht@uni-klu.ac.at, kyandoghere.kyamakya@uni-klu.ac.at

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.

Keywords: I.2.4 [Arti¯cial Intelligence]: Knowledge Representation Formalism and Methods; I.2.10 [Arti¯cial Intelligence]: Vision and Scene Understanding

Published: 2010-05-16
Publisher: ICST
Modified: 2010-05-16

: http://dx.doi.org/10.4108/ICST.AMBISYS2008.2869