[논문]국가별 논문 분석을 통한 자율주행 자동차의 계량정보 분석

박종규; 최정단; 배영철

doi:10.13067/jkiecs.2013.8.2.321

국가별 논문 분석을 통한 자율주행 자동차의 계량정보 분석
Scientometric Analysis of Autonomous Vehicle through Paper Analysis of each Nation 원문보기 논문타임라인

한국전자통신학회 논문지 = The Journal of the Korea Institute of Electronic Communication Sciences, v.8 no.2, 2013년, pp.321 - 328

박종규 (한국과학기술정보연구원) , 최정단 (한국전자통신연구원) , 배영철 (전남대학교 전기.전자통신.컴퓨터 공학부)

초록
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본 논문에서는 자율 주행 자동차의 연구 방향을 결정하기 위한 국가별 논문 분석을 통한 계량정보 분석을 수행한다. 이를 위해 국가별 수준 분석, 국제협력연구 네트워크 분석을 통하여 자율 주행 자동차의 연구 동향을 확인한다.

In this paper, we review scientometric analysis through paper analysis of an each nation to decide research direction for autonomous driving vehicles. We confirms research trend of autonomous driving vehicle by using Analysis of Index Level, International Cooperation Research Network, Analysis of Ke...

주제어

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가설 설정

The motion planning creates trajectories after planning the mission execution path. Third, Control regards how the vehicle performs the real mission to exactly follow the planned path.

제안 방법

In this paper, we review scientometric analysis for autonomous vehicles by using Analysis of Index Level, International Cooperation Research Network, Analysis of Key of Nations according to each nation. This paper is organized in four sections: section 1 will describe why scientometric analysis is necessary in the autonomous vehicle research area, section 2 will provide definition of autonomous vehicle, section 3 will explain scientometric analysis including index level and analysis of international cooperation research network according to nation, and section 4 have a conclusion.
In order to extract the information from the database, we used Web of Science (Thomson Reuters). In this paper, we try to perform the clustering method by one of three methods explained above to test which method provides the best coefficient of similarity. Moreover, we expressed cosine coefficient (Sij = Cij / SQRT(Ci * Cj) as a degree of similarity and as a crowding method which is the single linkage that links the shortest distance between two neighboring points as a hierarchal clustering method.

참고문헌 (15)
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To calculate an average annual increase of unmanned vehicle papers, we use equation (2) as follows:[5]
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Autonomous vehicle systems mainly divide into two categories:1) Autonomous vehicles composed of independent systems focused into all functions of perception as shown in the left of Fig.1.2) Road-infra connected with vehicle system creating results fused with perception results from an equipped system in the road environment or around vehicles[15].

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