논문 상세보기

산업용 드론과 딥러닝 기반의 손상영상 검출기법을 활용한 콘크리트 균열 검출 성능평가

Performance Evaluation of Concrete Crack Detection Using Damage Image Detection Technique Based on Industrial Drones and Deep Learning

  • 언어KOR
  • URLhttps://db.koreascholar.com/Article/Detail/346610
서비스가 종료되어 열람이 제한될 수 있습니다.
한국구조물진단유지관리공학회 (The Korea Institute For Structural Maintenance and Inspection)
초록

This paper presents the applicability and reliability of the crack detection technique of concrete structures developed based on the use of digital image analysis technologies through on - site tests. The problem of aging of infrastructure is a serious threat to the national and national security and there is a growing interest in the development and application of effective inspection and maintenance techniques for related infrastructure. Therefore, instead of the existing traditional manpower-based infrastructure inspection and maintenance techniques, which involve lots of time and money consumption and reliability of results, research using digital image analysis technology is actively being carried out.

목차
Abstract
 1. 서 론
 2. 점검용 자율비행 드론 및 균열 손상 이미지 검출기법
 3. 현장 검증 시험 및 고찰
 4. 결 론
 참고문헌
저자
  • 천주현(한국건설생활환경시험연구원) | Cheon, Ju Hyun
  • 정영우((주)유디코 기술연구소) | Jung, Young Woo
  • 김종우((주)유디코 기술연구소) | Kim, Jong Woo 교신저자