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A Study on Analysis of R&D Intensity based on Patent Citation Information: Case Study on Self-driving Car of Google

특허인용정보 기반의 연구집중도 분석에 관한 연구: 구글의 자율주행자동차 기술 중심으로

  • Lee, Junseok (School of Industrial Management Engineering, Korea University) ;
  • Kim, Jongchan (School of Industrial Management Engineering, Korea University) ;
  • Lee, Joonhyuck (School of Industrial Management Engineering, Korea University) ;
  • Park, Sangsung (Graduate School of Management of Technology, Korea University) ;
  • Jang, Dongsik (School of Industrial Management Engineering, Korea University)
  • 이준석 (고려대학교 산업경영공학부) ;
  • 김종찬 (고려대학교 산업경영공학부) ;
  • 이준혁 (고려대학교 산업경영공학부) ;
  • 박상성 (고려대학교 기술경영전문대학원) ;
  • 장동식 (고려대학교 산업경영공학부)
  • Received : 2016.07.27
  • Accepted : 2016.07.29
  • Published : 2016.08.25

Abstract

An autonomous vehicle is a convergence of artificial intelligence and a vehicle which can drive itself while analyzing the real-time situation on a road without a driver. A lot of research achievements have been revealed through the media and Google is considered to be the best leading company in this field. The use of patent information which contains various information such as bibliographic data and information about technologies is a good way to find out the R&D direction of a company and develop a reasonable strategy. This study is aimed at investigating the direction to which Google focuses its R&D capabilities and establishing strategies for technology development. Google's patents about autonomous vehicles were collected and the degree of research bias was analyzed using Social Network Analysis based on citations indicating the quality of a patent. Based on the results, the strategies for technology development was eventually proposed. As a result, it was revealed that Google focused its R&D capabilities on the part of hardware control to make up for its lack of hardware-oriented technologies. As of now, Google obtained remarkable achievements, so it seems reasonable that last-movers consider cooperative research with Google.

자율주행자동차는 자동차 스스로가 도로 위의 상황을 분석하고 판단하여 움직이는 인공지능과 자동차가 결합된 형태이다. 자율주행자동차에 대한 연구결과가 최근 언론을 통해 공개가 되고 있으며, 선두기업으로 구글이 평가받고 있다. 기술경영에서 기업의 연구개발방향 파악 및 개발전략수립을 위해 다양한 정보를 포함하고 있는 특허정보의 활용은 좋은 대안으로 평가받고 있다. 본 논문에서는 구글의 자율주행자동차에 대한 집중연구방향 파악 및 기술개발전략수립을 위해 구글의 자율주행자동차 관련 특허문서를 대상으로 문헌의 질적 측면을 평가할 수 있는 인용정보를 이용하여 사회네트워크분석 기반의 연구집중도 분석을 수행한다. 분석결과, 구글에서는 하드웨어 분야에 대한 기술이 미흡하여 최근까지 하드웨어 제어부분에 대한 기술개발에 집중한 것을 확인할 수 있으며, 현재 이 기술에 대하여 상당한 성과를 이룬 것으로 파악된다. 후발 기업에서는 향후 표준화를 대비하여 구글과의 공동연구를 진행하는 것이 필요할 것으로 예상된다.

Keywords

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