No need to learn from each other? Potentials of Knowledge Modeling in Autonomous Vehicle Systems Engineering Towards new methods in multidisciplinary contexts

Ferdinand Schäfer (1) , Reiner Kriesten (1) , Daniela Chrenko (2) , Alexandre Ravey (2) , Franck Gechter (3)

1 Hochschule Karlsruhe – Technik und Wirtschaft Karlsruhe University of Applied Sciences - Hochschule Karlsruhe – Technik und Wirtschaft Karlsruhe University of Applied Sciences
2 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)
3 Le2i - Laboratoire Electronique, Informatique et Image [UMR6306]

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.

Mots clés: Automated Driving; Systems Engineering; Requirements Engineering; Model-Based Systems Engineering; multidisciplinary engineering; interdisciplinary engineering; Knowledge Management; Knowledge Modeling; Ontology; Semantic Web; Human Systems Integration

Domaines: Mécanique des fluides [physics.class-ph]; Thermique [physics.class-ph]; Automatique / Robotique; Energie électrique

Ferdinand Schäfer, Reiner Kriesten, Daniela Chrenko, Alexandre Ravey, Franck Gechter. No need to learn from each other? Potentials of Knowledge Modeling in Autonomous Vehicle Systems Engineering Towards new methods in multidisciplinary contexts. International Conference on Engineering, Technology and Innovation, Mar 2017, Sarajevo, Bosnia and Herzegovina. ⟨10.1109/ICE.2017.8279921⟩. ⟨hal-02392710⟩