Regular inspection and monitoring of buildings and infrastructure, that is collectively called
the built environment in this paper, is critical. The built environment includes commercial and …

Cracks undermine the structural health of transportation infrastructure. Machine vision-
based surface crack analysis is to process infrastructure inspection data collected by …

Masonry structures represent the highest proportion of building stock worldwide. Currently,
the structural condition of such structures is predominantly manually inspected which is a …

Crack development is increasingly intensified and causes pavement damage in recent
decades under extreme weather events. Although various auto-or semi-auto crack …

In the era of the Fourth Industrial Revolution, artificial intelligence (AI) is a core technology,
and AI-based applications are expanding in various fields. This research explored the …

Abstract oncrete is a widely used material in the infrastructure system. However, this material
is susceptible to several factors that eventually create concrete cracks. Thus, accurately …

As one of the most important defects of concrete, cracks seriously threaten the service life
and safety of concrete structures, and various safety incidents caused by the collapse of …

Crack images collected from civil infrastructures through unmanned aerial vehicles suffer
from motion blur and insufficient resolution, which reduces the accuracy of microcrack …

This paper proposes an image-based method for automated rock fracture segmentation and
fracture trace quantification. It is integrated using a CNN-based model named FraSegNet, a …

Crack detection is critical to guaranteeing safety of bridges, highway and other
infrastructures. The deep convolution neural network (DCNN) makes it possible to efficiently …