No need to learn from each other?: Potentials of Knowledge Modeling in Autonomous Vehicle Systems Engineering

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.

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The different versions of the original document can be found in:

• 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/document,

https://hal.archives-ouvertes.fr/hal-02392710/file/a6e29b1c-4205-4ffc-bd2c-671bd1ae291b-author.pdf

under the license http://creativecommons.org/licenses/by/