Adaptive restraint design for a diverse population through machine learning

• 主要な著者: Wenbo Sun (著者), Jiacheng Liu (著者), Jingwen Hu (著者), Judy Jin (著者), Kevin Siasoco (著者), Rongrong Zhou (著者), Robert Mccoy (著者)
• フォーマット: 図書
• 出版事項: Frontiers Media S.A., 2023-08-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

ObjectiveUsing population-based simulations and machine-learning algorithms to develop an adaptive restraint system that accounts for occupant anthropometry variations to further enhance safety balance throughout the whole population.MethodsTwo thousand MADYMO full frontal impact crash simulations a...