You-Sian Lin

Title: You-Sian Lin: Innovator in Vehicle Positioning and Safety Systems

Introduction

You-Sian Lin is a prominent inventor based in Changhua Hsien, Taiwan. He has made significant contributions to the field of automotive technology, particularly in vehicle positioning and safety systems. With a total of three patents to his name, Lin's work focuses on enhancing the functionality and safety of self-driving vehicles.

Latest Patents

One of Lin's latest patents is a "Vehicle positioning method via data fusion and system using the same." This innovative method involves a processor that is electrically connected to a self-driving vehicle controller and multiple electronic systems. The method performs delay correction based on real-time coordinates, lane recognition data, and various vehicle dynamic parameters. The outcome is a fusion positioning coordinate that aids in self-driving operations.

Another notable patent is the "Intersection warning system based on information fusion and method thereof." This system comprises an intersection sensing device, a computing device, a user device, and a cloud server. The cloud server processes on-site sensing information and user positioning coordinates to calculate a fusion risk assessment value. If this value exceeds a certain threshold, a warning command is sent to the user device, enhancing safety at intersections.

Career Highlights

You-Sian Lin is currently employed at the Automotive Research & Testing Center, where he continues to develop innovative solutions for the automotive industry. His work is instrumental in advancing technologies that improve vehicle safety and efficiency.

Collaborations

Lin collaborates with talented individuals such as Chih-Neng Liang and Yu-Cheng Wu, contributing to a dynamic team focused on automotive research and development.

Conclusion

You-Sian Lin's contributions to vehicle positioning and safety systems demonstrate his commitment to innovation in the automotive sector. His patents reflect a deep understanding of technology and its application in enhancing the safety and functionality of self-driving vehicles.