Yongin, South Korea

Jung Dae Kim

This inventor holds 1 USPTO granted patent and 1 published patent application and 1 EPO patent. Top assignee: Autonmous A2z. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jung Dae Kim. Retrieved from https://idiyas.com/inventor/jung-dae-kim-sk08irlj

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 = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Jung Dae Kim in Traffic Light Prediction

Introduction

Jung Dae Kim is an innovative inventor based in Yongin, South Korea. He has made significant contributions to the field of traffic management through his patented technology. His work focuses on utilizing advanced methods to enhance the efficiency of traffic light systems.

Latest Patents

Jung Dae Kim holds a patent for a "Method for predicting traffic light information by using lidar and server using the same." This method involves predicting traffic light information by analyzing the start and stop timing of vehicles within virtual boxes covered by LIDAR technology. The server processes this data to provide accurate predictions for traffic light changes, thereby improving traffic flow and safety.

Career Highlights

Throughout his career, Jung Dae Kim has worked with notable companies, including Autonomous A2z. His experience in these organizations has allowed him to develop and refine his innovative ideas in traffic management.

Collaborations

Some of his coworkers include Han Sol Kwon and Young Chul Oh. Their collaboration has contributed to the development of advanced technologies in the field.

Conclusion

Jung Dae Kim's innovative approach to predicting traffic light information showcases the potential of LIDAR technology in improving urban traffic systems. His contributions are paving the way for smarter and more efficient traffic management solutions.

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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