Bridge inspection based unmanned aerial vehicle (UAV) has received considerable attention due to its several advantages such as reliability and safety as well as saving time and cost. An unmanned inspection equipment for bridge inspection is composed of UAV and imaging devices such as RGB cameras and infrared cameras. However, many challenging issues should be solved in order to apply this technology to the field. In this paper, an UAV based crack detection method is investigated. To detect the cracks, the image processing techniques with deep learning algorithm are used. To build the spatial information of aging bridge, 3D point cloud based background model is generated.

Abstract
 1. 서 론
 2. 무인검사장비 기반 노후 교량 점검
 3. 균열 검출 및 정량화
 4. 결 론
 참고문헌

• 김인호(한국과학기술원 응용과학연구소) | Kim, In-Ho 교신저자
• 전해민(한밭대학교 건설및환경공학과) | Jeon, Haemin
• 정형조(한국과학기술원 건설및환경공학과) | Jung, Hyung-Jo