Sejong-si, South Korea

Sun Wook Hwang


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Sun Wook Hwang: Innovator in Autonomous Vehicle Technology

Introduction

Sun Wook Hwang is a prominent inventor based in Sejong-si, South Korea. He has made significant contributions to the field of autonomous vehicle technology, particularly in the area of object detection. His innovative approaches are paving the way for advancements in how vehicles perceive and interact with their environments.

Latest Patents

Sun Wook Hwang holds a patent for a semi-supervised learning method for object detection in autonomous vehicles. This patent, titled "Semi-supervised learning method for object detection in autonomous vehicle and server for performing semi-supervised learning for object detection in autonomous vehicle," describes a method that includes receiving no-label voxel data from a vehicle. The server performs a data-based update on an object detection model using both labeled and no-label voxel data. It also determines a loss value based on this data and updates the model accordingly. This innovative approach enhances the efficiency and accuracy of object detection in autonomous vehicles. He has 1 patent to his name.

Career Highlights

Sun Wook Hwang is affiliated with Seoul National University, where he contributes to research and development in autonomous systems. His work focuses on integrating advanced machine learning techniques into practical applications for autonomous vehicles. His expertise in this field has positioned him as a key figure in the ongoing evolution of vehicle technology.

Collaborations

Sun Wook Hwang collaborates with notable colleagues, including Young Seok Kim and Hyung Sin Kim. Their combined efforts in research and development are instrumental in pushing the boundaries of what is possible in autonomous vehicle technology.

Conclusion

Sun Wook Hwang is a leading inventor whose work in semi-supervised learning for object detection is shaping the future of autonomous vehicles. His contributions are vital to the advancement of technology in this rapidly evolving field.

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