No need to learn from each other? — Potentials of knowledge modeling in autonomous vehicle systems engineering towards new methods in multidisciplinary contexts
Ferdinand Schafer, Reiner Kriesten, Daniela Chrenko, Franck Gechter · 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC) · 2017
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.