The interest in electric unmanned aerial vehicles (UAVs) is rapidly growing in recent years.
The reason is that UAVs have abilities to perform some difficult or dangerous tasks, with high …

Advent of computationally efficient smartphones, inexpensive high‐resolution cameras,
drones, and robotic sensors has brought a new era of next‐generation intelligent monitoring …

The use of unmanned aerial vehicles (UAVs) is growing rapidly across many civil
application domains, including real-time monitoring, providing wireless coverage, remote …

This article proposes an unsupervised deep learning–based approach to detect structural
damage. Supervised deep learning methods have been proposed in recent years, but they …

This paper compares the performance of common edge detectors and deep convolutional
neural networks (DCNN) for image-based crack detection in concrete structures. A dataset of …

With the pervasive use of Building Information Modelling (BIM), lean principles, digital
technologies, and offsite construction, the industry is at the cusp of this transformation. The …

Visual inspection has traditionally been used for structural health monitoring. However,
assessments conducted by trained inspectors or using contact sensors on structures for …

Scanning electron microscopy (SEM) images are used to evaluate the microstructure of the
concrete, there still remains challenges as the current methods are semi-automated, non …

Crack information provides important evidence of structural degradation and safety in civil
structures. Existing inspection methods are inefficient and difficult to rapidly deploy. A real …

Nowadays, unmanned aerial vehicles (UAVs) are frequently used for periodic visual
inspection of building envelopes to detect unsafe conditions or vulnerable damages …