Yongin, South Korea

Dong Kyu Yu

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Stradvision, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dong Kyu Yu. Retrieved from https://idiyas.com/inventor/dong-kyu-yu

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Dong Kyu Yu and His Patent on Automated 3D Object Labeling.

Introduction

Dong Kyu Yu is an inventor based in Yongin, South Korea. His work includes a patent for a method that helps automate the creation and refinement of 3D bounding boxes used to label objects.

Latest Patents

Yu is associated with 1 patent: “Method for Labeling by Automatically Creating Pseudo 3D Bounding Boxes Corresponding to Objects and Computing Device Using the Same.” The method matches projected LiDAR 3D bounding boxes with ground-truth 2D bounding boxes on an image. When a projected box matches a ground-truth box, the method applies regression to refine it. When no projected box matches, it generates a pseudo 3D bounding box using the 2D box and information about the object’s average size and rotation, then applies regression to that box.

Career Highlights

Yu is associated with Stradvision, Inc., a company working in computer vision technology. His patent addresses automated object labeling, a process relevant to developing and training systems that interpret visual and LiDAR data.

Collaborations

Yu’s listed coworker is Damin Lee. The available information identifies their professional association but does not specify particular joint projects or co-inventorship.

Conclusion

Dong Kyu Yu’s patent describes an approach to generating and refining 3D object labels by combining image-based annotations with LiDAR data and object information.

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]
Loading…