JAUE2020-100: A Study on the Manual for Displaying Damage Image of the Uav-based Bridge Appearance Examination Chart

Abstract

UAV has been widely used in various fields recently. The problems of the existing bridge safety diagnosis method can be solved through the convergence of various advanced technologies in the UAV. In the case of bridge safety diagnosis, in the existing case, it is managed based on manpower, which has a big disadvantage that safety cannot be guaranteed depending on the shape and location of the bridge. In addition, there is a high concern that the subjective position of manpower will be intervened. Accordingly, the recent UAV can be used to conduct safety diagnosis to places that are difficult for personnel to access, and safety diagnosis in a more objective aspect is possible by using heterogeneous image data and non-contact condition inspection. The Appearance Examination Chart, which has been used in the past, can be classified and visualized through data conversion for easy maintenance, so it plays a more efficient role than the personnel inspection. Therefore, in this study, it is expected that it will help to perform reliable and efficient safety inspection by escaping from the manpower-centered exterior safety inspection method by verifying the display of the bridge Appearance Examination Chart through field verification and presenting the methodology.