Abstract
In general, building owners have to inspect conditions of the building such as aging deterioration. It is necessary to detect abnormal parts such as cracks, delamination and floating in the exterior wall inspection; however, the inspection needs the heavy installation burden of temporary scaffolding. Therefore, new methods using images such as remote inspection or inspection by using unmanned aerial vehicles (UAV) are required. Previous studies have mainly focused on detecting abnormal parts from images and moving images, but a method to investigate the entire structure in a short time and to visualize the results of the inspection as a three-dimensional model are not sufficient yet. In this paper, we design a method to inspect the exterior walls of a building and tunnels using a UAV, detect abnormal parts from recorded videos and map them on a three-dimensional model, taking into account the challenged communication environment. In addition, the abnormal parts detection method and mapping on a three-dimensional model are evaluated using real data, and the UAV search routing method is evaluated by numerical experiments using a three-dimensional model of a hypothetical building.
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Adachi, K., Miwa, H. (2023). Inspection Method of Building Surface Condition by Unmanned Aerial Vehicle Under Challenged Communication Environment. In: Barolli, L. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 182. Springer, Cham. https://doi.org/10.1007/978-3-031-40971-4_1
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DOI: https://doi.org/10.1007/978-3-031-40971-4_1
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