Qing-fan Wang

Title: Qing-fan Wang: Innovator in Collision Severity Prediction Technology

Introduction

Qing-fan Wang 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 enhancing automotive safety measures.

Latest Patents

Qing-fan Wang 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 generating a collision severity parameter to evaluate the collision severity.

Career Highlights

Qing-fan Wang is affiliated with Tsinghua University, where he continues to advance research in vehicle safety technologies. His academic background and research initiatives have positioned him as a key figure in the field of automotive safety.

Collaborations

He has collaborated with notable colleagues, including Bing-bing Nie and Wen-tao Chen. Their joint efforts contribute to the ongoing research and development of innovative safety solutions in the automotive industry.

Conclusion

Qing-fan Wang's work in collision severity prediction technology represents a significant advancement in automotive safety. His innovative approach has the potential to save lives by improving the understanding of occupant injury risks during collisions.