A Framework for the Selection of AI-Based Methods to Support the Development of Passive Vehicle Safety Systems
DS 130: Proceedings of NordDesign 2024, Reykjavik, Iceland, 12th - 14th August 2024
Year: 2024
Editor: Malmqvist, J.; Candi, M.; Saemundsson, R. J.; Bystrom, F. and Isaksson, O.
Author: Mathieu, Janis; Vielhaber, Michael
Series: NordDESIGN
Institution: Institute of Product Engineering, Saarland University, Germany
Page(s): 313-322
DOI number: 10.35199/NORDDESIGN2024.34
ISBN: 978-1-912254-21-7
Abstract
The complexity of new products driven by rising requirements for new generations demands efficient development processes. A pronounced emphasis on artificial intelligence has resulted in a substantial array of methods in multiple application fields. Hence, this work proposes a framework for the systematic categorization and selection of artificial intelligence-based methods enabling the engineers to employ the best method at the best time. The framework is built upon the problem-solving cycle, discussed along, and verified within the industry use case of passive vehicle safety system design.
Keywords: Design Methodology, Artificial Intelligence (AI), Process Improvement, Virtual Engineering (VE)