Prediction of all rib deflections of THOR-ATD by means of deep neural network model

Takayuki Kawabuchi

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

16:15 〜 16:30

[Paper No.23-0219-O] Prediction of all rib deflections of THOR-ATD by means of deep neural network model

^○Takayuki Kawabuchi¹, Yasuhiro Dokko¹, Hidenori Mikami¹, Kota Katsushima², Yosuke Nagai³ (1.Honda Motor Co.,Ltd, Japan, 2.IDAJ Co., Ltd., Japan, 3.PHOTRON LIMITED, Japan)

キーワード：Thoracic Injury, THOR-ATD, Deep neural network model

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