San Jose, CA, United States of America

Junghyun Kwon

This inventor holds 21 USPTO granted patents and 13 published patent applications, plus 1 CIPO patent, primarily in Autonomous Systems. Top assignees: Nvidia Corporation, Ricoh Company, Ltd.. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Junghyun Kwon. Retrieved from https://idiyas.com/inventor/junghyun-kwon-b7nx0vf6

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

USPTO Granted Patents = 21 

% Patents Active = 90.5

 

Average Co-Inventor Count = 6.5

ph-index = 5

Forward Citations = 65(Granted Patents)


Location History:

  • Cupertino, CA (US) (2019 - 2021)
  • San Jose, CA (US) (2020 - 2024)
  • Santa Clara, CA (US) (2023 - 2024)

Company Filing History:


Years Active: 2019-2026

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Areas of Expertise:
Sensor Fusion
Object Detection
Intersection Classification
Machine Learning
Neural Networks
Distance Estimation
Autonomous Machines
Bounding Box Aggregation
Feature Descriptor Mapping
Path Assignment
Scene Perception
View Synthesis
21 patents (USPTO):Explore Patents

Title: The Innovative Mind of Junghyun Kwon: A Pioneer in Autonomous Systems

Introduction: Junghyun Kwon, an accomplished inventor based in San Jose, CA, has made significant contributions in the field of autonomous systems, holding a remarkable 17 patents to his name. His work revolves around enhancing the functionality and accuracy of autonomous technology through cutting-edge machine learning techniques.

Latest Patents: Among his latest innovations, one notable patent focuses on "Obstacle to path assignment and performance of control operations based on assignment for autonomous systems and applications." This invention utilizes deep neural networks (DNN) to determine obstacle assignments, optimizing the system’s ability to navigate environments accurately. By incorporating information from previously computed operations such as obstacle and path locations, Kwon has improved the DNN’s input precision, which in turn enhances the accuracy of path assignments.

Another significant patent of his is centered on "Sensor fusion for autonomous machine applications using machine learning." This technology employs a multi-sensor fusion machine learning model, allowing for the integration of outputs from various machine learning models to produce more reliable data. By mitigating duplicate or inaccurate data through trained associations, Kwon's work signifies a notable advancement in how autonomous machines perceive their environments.

Career Highlights: Junghyun Kwon has had a noteworthy career path, contributing his expertise to innovative companies such as Nvidia Corporation and Ricoh Company, Ltd. His experience in these leading firms has provided him with a robust foundation for producing groundbreaking inventions in autonomous systems.

Collaborations: Throughout his career, Kwon has collaborated with talented individuals like Minwoo Park and Sangmin Oh. These partnerships have fostered a collaborative atmosphere that encourages the exchange of ideas and collective problem-solving, vital for driving technological advancement.

Conclusion: Junghyun Kwon's inventive spirit and dedication to improving autonomous systems underscore his role as a leading innovator in the tech industry. With his 17 patents and commitment to advancing machine learning applications, Kwon stands as a significant figure in the evolution of autonomous technology. His contributions not only enhance current systems but also pave the way for future innovations in the field.

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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