This inventor holds 1 USPTO granted patent. Top assignee: Tsinghua University. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Jiajie Shen: Innovator in Collision Severity Prediction
Introduction
Jiajie Shen is a prominent inventor based in Beijing, China. He has made significant contributions to the field of vehicle safety through his innovative patent. His work focuses on predicting collision severity to assess occupant injury risk, which is crucial for improving automotive safety measures.
Latest Patents
Jiajie Shen holds a patent for a "Collision severity prediction device for occupant injury risk." This invention discloses a method for predicting collision severity by establishing a first learning model. The model inputs vehicle data and collision accident scene feature data to obtain a predicted collision acceleration curve. This curve is established based on a plane rectangular coordinate system. A second learning model is then created, which inputs the predicted collision acceleration curve, occupant feature data, and restraint system feature data. The output includes a plurality of predicted collision kinematics and dynamics curves of human body parts. Ultimately, a collision severity parameter is generated to evaluate the collision severity.
Career Highlights
Jiajie Shen is affiliated with Tsinghua University, where he continues to advance research in vehicle safety and occupant protection. His work is recognized for its potential impact on reducing injuries in automotive accidents.
Collaborations
He collaborates with notable colleagues, including Bing-bing Nie and Wen-tao Chen, who contribute to his research endeavors.
Conclusion
Jiajie Shen's innovative work in collision severity prediction represents a significant advancement in automotive safety technology. His contributions are vital for enhancing the protection of vehicle occupants during accidents.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
