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Analysis of Patent Trends and Cooperative Network of Future-leading Items in the Field of Autonomous Driving

완전 자율주행분야 미래선도품목의 특허동향 및 협력 네트워크 분석

  • Junghwan Lee (Chungbuk National University) ;
  • Jinyong Kim (Future Growth Policy Center, Korea Institute of Science & Technology Evaluation and Planning) ;
  • Ji-hyuk Cho (Division of Evaluation & Project Management, National Research Council of Science &Technology) ;
  • Hyengsuk Kim (Department of BigData Graduate School, Chungbuk National University)
  • Received : 2022.08.16
  • Accepted : 2022.10.06
  • Published : 2022.12.31

Abstract

In recent years, technological competition in the automobile sector is accelerating. This study analyzes the status of patents from a global perspective of three promising future items that Korea has selected as core technologies in the field of autonomous driving,. And the technological cooperation ecosystem was identified through network analysis centered on scientific metrology. As a result of the analysis, it was confirmed that the growth of individual technologies has been strengthened in recent years, and although key source technologies have been largely preempted in major global countries, a close cooperative ecosystem between institutions, companies, and universities in major countries has not yet been formed. Specifically, the US and Japan have the technological leadership, while China is rapidly rising, and Korea is chasing after it as a latecomer. Therefore, it is necessary to continuously strengthen technological cooperation such as R&D of core technology to overcome technological limitations and strengthening of infrastructure construction, attracting excellent foreign talents and international exchanges. This analysis is meaningful in that it explores the global status of Korea's technology and the possibility of technological cooperation from various perspectives in the future from the viewpoint of preoccupation of future technology, rather than grasping the trend of a specific technology.

Keywords

Acknowledgement

이 논문은 충북대학교 국립대학육성사업(2022)지원을 받아 작성되었음

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