Computer vision framework for crack detection of civil infrastructure—A review
Civil infrastructure (eg, buildings, roads, underground tunnels) could lose its expected
physical and functional conditions after years of operation. Timely and accurate inspection …
physical and functional conditions after years of operation. Timely and accurate inspection …
Image-based crack detection methods: A review
Annually, millions of dollars are spent to carry out defect detection in key infrastructure
including roads, bridges, and buildings. The aftermath of natural disasters like floods and …
including roads, bridges, and buildings. The aftermath of natural disasters like floods and …
DeepCrack: A deep hierarchical feature learning architecture for crack segmentation
Automatic crack detection from images of various scenes is a useful and challenging task in
practice. In this paper, we propose a deep hierarchical convolutional neural network (CNN) …
practice. In this paper, we propose a deep hierarchical convolutional neural network (CNN) …
Advances in computer vision-based civil infrastructure inspection and monitoring
Computer vision techniques, in conjunction with acquisition through remote cameras and
unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure …
unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure …
DMA-Net: DeepLab with multi-scale attention for pavement crack segmentation
Cracks are important indicators of pavement structural and operational conditions. Early
pavement crack detection and treatments can help extend pavement service life, reduce fuel …
pavement crack detection and treatments can help extend pavement service life, reduce fuel …
[HTML][HTML] Crack detection using image processing: A critical review and analysis
A Mohan, S Poobal - alexandria engineering journal, 2018 - Elsevier
Cracks on the concrete surface are one of the earliest indications of degradation of the
structure which is critical for the maintenance as well the continuous exposure will lead to …
structure which is critical for the maintenance as well the continuous exposure will lead to …
Automatic defect detection and segmentation of tunnel surface using modified Mask R-CNN
The detection of tunnel surface defects is the very important part to ensure tunnel safety.
Traditional tunnel detection mainly relies on naked-eye inspection, which is time-consuming …
Traditional tunnel detection mainly relies on naked-eye inspection, which is time-consuming …
Deep learning based image recognition for crack and leakage defects of metro shield tunnel
The performance of traditional visual inspection by handcrafted features for crack and
leakage defects of metro shield tunnel is hardly satisfactory nowadays because it is low …
leakage defects of metro shield tunnel is hardly satisfactory nowadays because it is low …
A fast detection method via region‐based fully convolutional neural networks for shield tunnel lining defects
Y Xue, Y Li - Computer‐Aided Civil and Infrastructure …, 2018 - Wiley Online Library
Tunnel lining defects are an important indicator reflecting the safety status of shield tunnels.
Inspired by the state‐of‐the‐art deep learning, a method for automatic intelligent …
Inspired by the state‐of‐the‐art deep learning, a method for automatic intelligent …
Crack and noncrack classification from concrete surface images using machine learning
In concrete structures, surface cracks are important indicators of structural durability and
serviceability. Generally, concrete cracks are visually monitored by inspectors who record …
serviceability. Generally, concrete cracks are visually monitored by inspectors who record …