Beijing, China

Jiajie Shen


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

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.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…