One early sign of tunnel structure deterioration originates in the form of cracking, and
therefore crack detection and resultant classification is integral for tunnel structural …

This work presents the combination of Deep-Learning (DL) and image processing to
produce an automated cracks recognition and defect measurement tool for civil structures …

A tunnel is an imperative underground passageway that supports fast and uninterrupted
transportation. Over time, various factors, such as ageing, topographical changes, and …

In this paper, a crack detection mechanism for concrete tunnel surfaces is presented. The
proposed methodology leverages deep Convolutional Neural Networks and domain-specific …

Detecting cracks on the concrete surface is crucial for the tunnel health monitoring and
maintenance of Chinese transport facilities, since it is closely related with the structural …

The monitoring and prevention of cracks in tunnel structures is an essential problem and the
traditional methods are arduous to suffice the rapid increasing of tunnel mileage. Many …

Cracks in the tunnel become an unavoidable problem in tunnel construction and tunnel
using. Cracks will affect the stability of the tunnel and have a negative impact on the …

With the increase in urban rail transit construction, instances of tunnel disease are on the
rise, and cracks have become the focus of tunnel maintenance and management. Therefore …

The damage investigation and inspection methods for infrastructures performed in small-
scale (type III) facilities usually involve a visual examination by an inspector using surveying …

Automatic detection and segmentation of concrete cracks in tunnels remains a high-priority
task for civil engineers. Image-based crack segmentation is an effective method for crack …