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)

Download

Please sign in to your account

This site uses cookies and other tracking technologies to assist with navigation and your ability to provide feedback, analyse your use of our products and services, assist with our promotional and marketing efforts, and provide content from third parties. Privacy Policy.