Taoyuan, Taiwan

Yu-Syuan Liao

This inventor holds 1 USPTO granted patent. Top assignee: Industrial Technology Research Institute. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yu-Syuan Liao. Retrieved from https://idiyas.com/inventor/yu-syuan-liao

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Yu-Syuan Liao: Innovator in Parking Spot Detection Technology

Introduction

Yu-Syuan Liao is a notable inventor based in Taoyuan, Taiwan. He has made significant contributions to the field of parking technology, particularly with his innovative parking spot detection system. His work aims to enhance the efficiency of parking in urban environments.

Latest Patents

Yu-Syuan Liao holds a patent for a "Parking spot detection system and method thereof." This system includes a detection unit, a map database, and a processing unit. The detection unit acquires position data and intensity data from various data points in an environment. The map database provides essential map information. The processing unit determines whether a geometric shape formed by adjacent data points represents a parking space based on the intensity data. If identified as a parking space, the processing unit integrates this information into the map data.

Career Highlights

Yu-Syuan Liao is associated with the Industrial Technology Research Institute, where he continues to develop innovative solutions in technology. His work focuses on improving urban mobility and parking efficiency.

Collaborations

He collaborates with talented individuals such as Wen-Han Lu and Tse-Lin Lee, contributing to advancements in their respective fields.

Conclusion

Yu-Syuan Liao's contributions to parking technology exemplify the impact of innovation on urban living. His patent for a parking spot detection system showcases his commitment to enhancing everyday experiences through technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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