Jingmin Xi

Title: Innovations in Driver Distraction Detection by Jingmin Xi

Introduction

Jingmin Xi is an accomplished inventor based in Hefei, China. He has made significant contributions to the field of driving behavior analysis, particularly in the area of driver distraction detection. With a total of 2 patents, his work focuses on utilizing advanced machine learning techniques to enhance road safety.

Latest Patents

Jingmin Xi's latest patents include a method for fine-grained detection of driver distraction based on unsupervised learning. This method involves acquiring distracted driving image data and inputting it into an unsupervised learning detection model. The model analyzes the data to determine the driver's distraction state. The backbone network of this model is a RepMLP network structure that incorporates a multilayer perceptron (MLP). Additionally, he has developed a transformer-based driver distraction detection method and apparatus. This method builds a driver distraction detection model FPT, which improves classification accuracy while reducing parameter quantity and calculation amount compared to traditional models.

Career Highlights

Jingmin Xi is affiliated with Anhui University, where he continues to advance research in driving behavior analysis. His innovative approaches have garnered attention in the academic community and beyond.

Collaborations

He collaborates with notable colleagues such as Jie Chen and Haitao Wang, contributing to the advancement of research in his field.

Conclusion

Jingmin Xi's work in driver distraction detection exemplifies the intersection of technology and safety. His innovative patents are paving the way for improved driving behavior analysis and enhanced road safety measures.