Abstract: Corrosion is a crucial defect in structural systems that can lead to catastrophic effects if neglected. Current structure inspection standards require an inspector to visually assess the conditions of a target structure. ...

Abstract: This study presents a deep convolutional neural network (CNN)-based approach to estimate the dynamic response of a linear single-degree-of-freedom (SDOF) system, a nonlinear SDOF system, and a full-scale 3-story multidegree ...

Abstract: Pavement management systems have become more crucial through the development of road networks. Data collection is at the core of any pavement management system. Rutting is a critical defect on pavements that can lead to ...

Abstract: Floods are the most common and damaging natural disaster worldwide in terms of both economic losses and human casualties. Currently, policymakers rely on data collected through labor-intensive and, consequently, expensive ...

Abstract: Current pavement condition–assessment procedures are extensively time consuming and laborious; in addition, these approaches pose safety threats to the personnel involved in the process. In this study, a RGB-D sensor is ...

Abstract: Georeferencing through aerial imagery has several applications, including remote sensing, real-time situational mission awareness, environmental monitoring, rescue and relief, map generation, autonomous hazard avoidance, ...

Abstract: Automated interpretation of closed-circuit television (CCTV) inspection videos could improve the speed and consistency of sewer condition assessment. Previous approaches focus on defect classification, with less emphasis ...