公开(公告)号：US12194936B2

公开(公告)日：2025-01-14

申请号：US17705355

申请日：2022-03-27

Applicant: TSINGHUA UNIVERSITY

Inventor： Bing-Bing Nie ,  Wen-Tao Chen ,  Qing-Fan Wang ,  Jiajie Shen ,  Quan Li ,  Shengbo Li ,  Qing Zhou

IPC: B60N2/02 ,  B60N2/01 ,  B60R16/023 ,  B60R16/037 ,  B60R21/0132 ,  B60R21/015 ,  B60R21/16 ,  B60R22/48 ,  B60W30/085 ,  B60W30/095 ,  G06N20/00 ,  B60R21/013

Abstract: 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.