The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Analysis of the Domestic Vision based Technology for Railway Corporation

철도운영기관 적용을 위한 국내 영상기반 기술 분석

  • Lee, Sang-Hak (Dept. of Electric Railway Convergence Engineering, Dongyang University)
  • 이상학 (동양대학교 철도전기융합학과)
  • Received : 2018.02.28
  • Accepted : 2018.04.15
  • Published : 2018.04.30
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Abstract

Railway system has been unmanned and high-speedy. Korean railway corporations need a more effective and smarter system for operation and maintenance. So there are many theses that studied the intelligent operation and maintenance system using vision based technologies for railway corporation. This paper analyzes domestic theses which studied the intelligent vision based system for railway safety, railway vehicle and facilities and proposes research which uses the more powerful vision based technology with deep-learning for railway corporation.

국내 철도운영기관에서는 고속화 무인화에 따른 보다 효율적이고 더욱 스마트한 운영, 유지보수 및 관리를 위한 시스템을 절실히 필요로 하고 있다. 따라서 영상기반 기술을 국내 철도산업에 적용한 지능형 운영, 유지보수 및 관리 시스템 개발을 위한 많은 연구들이 있다. 본 논문에서는 철도안전시스템, 철도차량 유지보수, 그리고 철도시설물 관리를 위한 지능형 시스템을 개발하기 위하여 영상기반 기술을 사용한 국내 연구들을 분석한다. 그리고 딥러닝 기술 등이 사용된 보다 강력한 영상기반 기술을 적용하여 철도운영기관에서 필요한 시스템을 개발하는 연구의 방향을 제시한다.

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