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== Abstract ==
International audience; Engineering autonomous driving functions has become a dramatic challenge in automotive engineering since it is now required to integrate knowledge from multi-disciplinary domains. In this context, the widespread engineering methods are showing their limit since they mainly integrate technological centered point of view. Thus, these new requirements lead naturally to the design of new method for engineering in automotive field. The goal of this paper is to sketch an overview of the possible improvements that Knowledge Modeling and ontologies can bring to Systems Engineering and especially in the case of Autonomous Driving functions.
Document type: Conference object
== Full document ==
<pdf>Media:Draft_Content_670962250-beopen6202-5114-document.pdf</pdf>
== Original document ==
The different versions of the original document can be found in:
* [https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01588160 https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01588160] under the license http://creativecommons.org/licenses/by/
* [https://hal.archives-ouvertes.fr/hal-02392710 https://hal.archives-ouvertes.fr/hal-02392710],
: [https://hal.archives-ouvertes.fr/hal-02392710/document https://hal.archives-ouvertes.fr/hal-02392710/document],
: [https://hal.archives-ouvertes.fr/hal-02392710/file/a6e29b1c-4205-4ffc-bd2c-671bd1ae291b-author.pdf https://hal.archives-ouvertes.fr/hal-02392710/file/a6e29b1c-4205-4ffc-bd2c-671bd1ae291b-author.pdf]
under the license http://creativecommons.org/licenses/by/
Return to Schaefer et al 2017a.
Published on 01/01/2017
Volume 2017, 2017
DOI: 10.1109/ice.2017.8279921
Licence: Other
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