Wen-tao Chen

Title: Innovations by Wen-tao Chen in Collision Severity Prediction

Introduction

Wen-tao Chen is a notable 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 enhancing automotive safety measures.

Latest Patents

Wen-tao Chen 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. Furthermore, a second learning model is created, which inputs the predicted collision acceleration curve along with 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 based on these curves.

Career Highlights

Wen-tao Chen is affiliated with Tsinghua University, where he continues to engage in research and development in the field of automotive safety. His academic background and innovative mindset have positioned him as a key figure in this area of study.

Collaborations

Wen-tao Chen has collaborated with notable colleagues, including Bing-bing Nie and Qing-fan Wang. Their combined expertise contributes to the advancement of research in collision prediction and occupant safety.

Conclusion

Wen-tao Chen's innovative work in collision severity prediction represents a significant advancement in automotive safety technology. His contributions are vital for improving the safety of vehicle occupants and reducing injury risks in accidents.