Yicheng Li

Title: Yicheng Li: Innovator in Traffic Management Technologies

Introduction

Yicheng Li is a prominent inventor based in Zhenjiang, China, known for his contributions to traffic management technologies. With a total of two patents to his name, his work emphasizes the intersection of artificial intelligence and civil engineering.

Latest Patents

Li's latest innovations include a "Multi-task Joint Perception Network Model and Detection Method for Traffic Road Surface Information." This groundbreaking model can detect lane lines and drivable areas simultaneously. It incorporates a coordinate attention mechanism into a traditional feature extraction network to enhance feature extraction without increasing computational load. Additionally, the model features a dilated convolution residual module, improving detail prediction, and a decoder that shares features to enhance lane line detection under complex road conditions. The training method employs alternating optimization to significantly improve segmentation performance, achieving impressive results on the challenging BDD100K dataset.

Another significant patent is the "Multi-Intelligence Federated Reinforcement Learning-Based Vehicle-Road Cooperative Control System and Method at Complex Intersection." This innovative system uses a cooperative control framework that combines the static processing module of the Road Side Unit (RSU) and a dynamic vehicle-based processing module. The Federated Twin Delayed Deep Deterministic policy gradient (FTD3) algorithm plays a crucial role by sending only neural network parameters to preserve privacy. This method optimizes communication costs while ensuring an effective integration of federated learning and reinforcement learning technologies.

Career Highlights

Yicheng Li is currently affiliated with Jiangsu University, where he actively contributes to research and development in his field. His work is pivotal in advancing methodologies that improve traffic safety and efficiency.

Collaborations

Li collaborates with several talented colleagues, including Yingfeng Cai and Hai Wang, fostering an environment of innovation and shared knowledge in traffic systems and artificial intelligence applications.

Conclusion

Yicheng Li's innovative contributions to understanding and managing traffic road conditions demonstrate the significant impact of technology on urban planning and safety. With his patents, he paves the way for safer and more efficient traffic management solutions, making an invaluable contribution to the field.