Collision severity prediction device for occupant injury risk

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United States of America

PATENT NO 12194936
APP PUB NO 20220212618A1
SERIAL NO

17705355

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Abstract

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Disclosed is a method for predicting collision severity, including: establishing a first learning model, and inputting vehicle data and collision accident scene feature data into the first learning model; obtaining a predicted collision acceleration curve outputted by the first learning model, the predicted collision acceleration curve being established based on a plane rectangular coordinate system; establishing a second learning model, and inputting the predicted collision acceleration curve, the occupant feature data and the restraint system feature data into the second learning model; obtaining a plurality of predicted collision kinematics and dynamics curves of human body parts outputted by the second learning model; generating a collision severity parameter according to the plurality of predicted collision kinematics and dynamics curves of the human body parts, the collision severity parameter being configured to evaluate the collision severity.

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Patent Owner(s)

Patent OwnerAddress
TSINGHUA UNIVERSITY100084 TSINGHUA YUAN BEIJING HAIDIAN DISTRICT BEIJING CITY BEIJING CITY 100084

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chen, Wen-Tao Beijing, CN 1 0
Li, Quan Beijing, CN 266 1571
Li, Shengbo Beijing, CN 14 52
Nie, Bing-Bing Beijing, CN 2 0
Shen, Jiajie Beijing, CN 2 0
Wang, Qing-Fan Beijing, CN 1 0
Zhou, Qing Beijing, CN 128 992

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