Evaluation Approach for Machine Learning Concepts in Occupant Protection Based on Multi-Attribute Decision Making

Franz Plaschkies

講演情報

Technical Session

Technical Session PM: Opportunities and Challenges of ApplyingArtificial Intelligence (AI) and MachineLearning Techniques to Enhance VehicleSafety.

2023年4月5日(水) 14:00 〜 18:00 G301-G302, 3F, Pacifico Yokohama North

Chair: Marcus Wisch (Germany), Co-Chair: Dee Williams (United States)

Track C

17:00 〜 17:15

[Paper No.23-0055-O] Evaluation Approach for Machine Learning Concepts in Occupant Protection Based on Multi-Attribute Decision Making

^○Franz Plaschkies¹, Ketlen Possoli¹, Ondřej Vaculín¹, Axel Schumacher², Pedro Paulo Andrade Junior³ (1.Technische Hochschule Ingolstadt, Germany, 2.Bergische Universität Wuppertal, Germany, 3.Federal University of Santa Catarina, Brazil)

キーワード：Passive Vehicle Safety, Machine Learning, Multi-Criteria Decision Making

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