An ontology-based approach to relax traffic regulation for autonomous vehicle assistance

Abstract : Traffic regulation must be respected by all vehicles, either human- or computer- driven. However, extreme traffic situations might exhibit practical cases in which a vehicle should safely and reasonably relax traffic regulation, e.g., in order not to be indefinitely blocked and to keep circulating. In this paper, we propose a high-level representation of an automated vehicle, other vehicles and their environment, which can assist drivers in taking such "illegal" but practical relaxation decisions. This high-level representation (an ontology) includes topological knowledge and inference rules, in order to compute the next high-level motion an automated vehicle should take, as assistance to a driver. Results on practical cases are presented.
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Communication dans un congrès
AIA'13 - 12th IASTED International Conference on Artificial Intelligence and Applications, Feb 2013, Innsbruck, Austria. pp.10, 2013
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https://hal.archives-ouvertes.fr/hal-00760753
Contributeur : Philippe Morignot <>
Soumis le : mardi 4 décembre 2012 - 13:30:51
Dernière modification le : jeudi 2 août 2018 - 12:02:07
Document(s) archivé(s) le : mardi 5 mars 2013 - 03:52:11

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  • HAL Id : hal-00760753, version 1
  • ARXIV : 1212.0768

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Philippe Morignot, Fawzi Nashashibi. An ontology-based approach to relax traffic regulation for autonomous vehicle assistance. AIA'13 - 12th IASTED International Conference on Artificial Intelligence and Applications, Feb 2013, Innsbruck, Austria. pp.10, 2013. 〈hal-00760753〉

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