Collision severity prediction device for occupant injury risk

US12194936B2 · kind B2 · utility

Assignee

• TSINGHUA UNIVERSITY · CN

Inventors

• BING-BING NIE · Beijing, CN
• Wen-Tao Chen · Beijing, CN
• Qing Wang · Yantai, CN
• Jiajie Shen · Beijing, CN
• Quan Li · Alpharetta, US
• Shengbo Li · Nanhu, CN
• Qing Zhou · Tangxia, CN

Key dates

• Filing date: Mar 27, 2022
• Grant date: Jan 14, 2025
• Expiry date: Mar 17, 2043

Classification

• Technology area (CPC B): Performing Operations; Transporting
• CPC primary: B60W2540/227
• WIPO field: Transport
• WIPO sector: Mechanical engineering

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.