Seoul, South Korea

Sung An Gweon


 

Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2021

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6 patents (USPTO):Explore Patents

Title: Innovations of Sung An Gweon in Autonomous Vehicle Technology

Introduction

Sung An Gweon is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of autonomous vehicle technology, holding a total of six patents. His work focuses on enhancing machine learning networks for autonomous vehicles, which is crucial for the advancement of self-driving technology.

Latest Patents

One of his latest patents is titled "Method for performing on-device learning of machine learning network on autonomous vehicle by using multi-stage learning with adaptive hyper-parameter sets and device using the same." This innovative method involves dividing the learning process into multiple stages, allowing for the generation of adaptive hyper-parameter sets that optimize the performance of embedded machine learning networks in autonomous vehicles. Another notable patent is "Method and device for on-vehicle active learning to be used for training perception network of autonomous vehicle." This method utilizes driving videos and sensing information to enhance the training of perception networks, which are essential for the safe operation of autonomous vehicles.

Career Highlights

Sung An Gweon is currently employed at Stradvision, Inc., a company that specializes in computer vision technology for autonomous vehicles. His work at Stradvision has positioned him as a key player in the development of advanced machine learning applications in the automotive industry.

Collaborations

He collaborates with talented individuals such as Yongjoong Kim and Bongnam Kang, contributing to a dynamic team focused on pushing the boundaries of autonomous vehicle technology.

Conclusion

Sung An Gweon's innovative work in machine learning for autonomous vehicles showcases his expertise and commitment to advancing this critical technology. His patents reflect a deep understanding of the complexities involved in creating safe and efficient self-driving systems.

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