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

Takayuki Kawabuchi

Presentation information

Technical Session

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

Wed. Apr 5, 2023 2:00 PM - 6:00 PM G301-G302, 3F, Pacifico Yokohama North

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

Track C

4:15 PM - 4:30 PM

[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)

Keywords:Thoracic Injury, THOR-ATD, Deep neural network model

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Presentation information

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

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

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