Sensors, Volume 22, Issue 3
February-1 2022 - 599 articles
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Cover Story: Computer vision has shown potential for assisting post-earthquake inspection of buildings by means of automatic damage detection in images. However, assessing the safety of an earthquake-damaged building requires that the damage be considered in the context of its global impact on the structural system. We present a framework for assessing the safety of an earthquake-damaged structure based on an exterior photographic survey using unmanned aerial vehicles (UAVs). The system is built around a building information model (BIM), which serves as a reference frame for UAV images and 3D point clouds generated from those images. The BIM links any identified damage to a corresponding element in a structural analysis model, ultimately enabling a performance-based assessment of the target building. View this paper