A METHOD FOR EFFICIENT GENERATION AND OPTIMIZATION OF SIMULATION-BASED TRAINING DATA FOR DATA-DRIVEN INJURY PREDICTION IN VRU-VEHICLE ACCIDENT SCENARIOS

Niranjan Ballal

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

15:30 〜 15:45

[Paper No.23-0215-O] A METHOD FOR EFFICIENT GENERATION AND OPTIMIZATION OF SIMULATION-BASED TRAINING DATA FOR DATA-DRIVEN INJURY PREDICTION IN VRU-VEHICLE ACCIDENT SCENARIOS

Niranjan Ballal¹, ^○Thomas Soot¹, Michael Dlugosch¹, Niclas Trube¹, Dirk Fressmann² (1.Fraunhofer-Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI, Germany, 2.DYNAmore Gesellschaft für FEM Ingenieurdienstleistungen mbH, Germany)

キーワード：Machine learning, Training data generation, injury prediction

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