Seoul, South Korea

Yonghyub Sakong

This inventor holds 1 USPTO granted patent. Top assignee: Meissa Planet Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yonghyub Sakong. Retrieved from https://idiyas.com/inventor/yonghyub-sakong

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yonghyub Sakong: Innovator in Road Extraction Technology

Introduction

Yonghyub Sakong is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of road extraction technology, showcasing his expertise through innovative patents. His work focuses on utilizing deep learning technology to enhance the efficiency of road image processing.

Latest Patents

Sakong holds a patent for a "Road extraction device and method." This invention includes a data collection module designed to gather road images and a deep learning module that performs tasks to extract roads from these images. The deep learning module consists of a first unit for segmentation and a second unit for object detection, both aimed at improving the accuracy of road extraction.

Career Highlights

Yonghyub Sakong is currently employed at Meissa Planet Inc., where he continues to develop cutting-edge technologies. His work has positioned him as a key player in the field of artificial intelligence and image processing.

Collaborations

Sakong collaborates with talented individuals such as Hyun Sun Park and Dong Young Kim, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Yonghyub Sakong's contributions to road extraction technology exemplify the impact of deep learning in practical applications. His innovative approach continues to advance the field and inspire future developments.

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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