국내 시설물 현황과 AI 기반 점검 기술 동향

A Research on the Status of Facility in Korea and Trends of Inspection Technology Based on AI(Artificial Intelligence)

  • 오진탁 (한국시설안전공단 국가내진센터) ;
  • 남우석 (한국시설안전공단 시설성능연구소)
  • Oh, Jintak (National Center for Seismic Safety, Korea Infrastructure Safety & Technology Corporation) ;
  • Nam, Woo-Suk (Research Institute for Infrastructure Performance, Korea Infrastructure Safety & Technology Corporation)
  • 발행 : 2018.06.15

초록

키워드

참고문헌

  1. Statistical Yearbook(www.fms.or.kr), 2017.
  2. Lee, Y. I., Kim, B. H., & Cho, S. J., "Image-based Spalling Detection of Concrete Structures Using Deep Learning", Journal of the Korea Concrete Institute, Vol.30, No.1, pp.91-99 2018 https://doi.org/10.4334/JKCI.2018.30.1.091
  3. An, Y. K., & Jang, K. Y., "Deep Learning-Based Structural Crack Evaluation Technique Through UAV-Mounted Hybrid Image Scanning", Journal of Korean Association for Spatial Structures, Vol.17, No.4, pp.20-26, 2017
  4. Nam, W. S. (2018). Trends of Inspection Technology for Concrete Structures Based on AI(Artificial Intelligence). Proceedings of Conference of the Korea Concrete Institute, Republic of Korea, Vol.30, No.1
  5. Wang, K. CP. (2017, June). A Deep-Learning based Fully Automated Cracking Detection with Pixel-Accuracy, The 10th International Conference on the Bearing Capacity of Road, Railways and Airfields, National Technical University of Athens, Greece.