Gyeonggi-do, South Korea

Ji Won Kwon

This inventor holds 4 USPTO granted patents. Top assignees: Hyundai Motor Company, Kia Motors Corporation. Active years: 2017-2023.


% Patents Active = 100.0

Average Co-Inventor Count = 1.6

ph-index = 2

Forward Citations = 20(Granted Patents)


Location History:

  • Gyeonggi-do, KR (2017 - 2019)
  • Suwon-si, KR (2021 - 2023)

Company Filing History:


Years Active: 2017-2023

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4 patents (USPTO):Explore Patents

Title: Ji Won Kwon: Innovator in Vehicle Driving Control Technology

Introduction

Ji Won Kwon is a notable inventor based in Gyeonggi-do, South Korea. He has made significant contributions to the field of vehicle driving control technology, holding a total of 4 patents. His work focuses on enhancing driving safety and efficiency through innovative object recognition systems.

Latest Patents

Kwon's latest patents include an apparatus for managing driving patterns based on object recognition and a vehicle driving controlling apparatus using the same. These patents describe a server that recognizes target objects extracted from image information. The server determines a priority for each vehicle behavior scenario based on accident rates associated with similar patterns. This information is then transmitted to the vehicle, allowing for improved decision-making in driving scenarios.

Career Highlights

Throughout his career, Ji Won Kwon has worked with prominent companies in the automotive industry, including Hyundai Motor Company and Kia Motors Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas in vehicle technology.

Collaborations

Kwon has collaborated with several talented individuals, including Gi Won Park and Don Hyoung Lee. These partnerships have contributed to the advancement of his projects and the successful implementation of his inventions.

Conclusion

Ji Won Kwon's work in vehicle driving control technology showcases his commitment to innovation and safety in the automotive industry. His patents reflect a deep understanding of object recognition and its application in real-world driving scenarios.

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