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 …
Recent computer vision applications for pavement distress and condition assessment
Amidst the unprecedented demographic boom, coupled with climate change, more pressure
is being exerted on road networks. Asset managers are thus in search for time and cost …
is being exerted on road networks. Asset managers are thus in search for time and cost …
Cross‐scene pavement distress detection by a novel transfer learning framework
Deep learning has achieved promising results in pavement distress detection. However, the
training model's effectiveness varies according to the data and scenarios acquired by …
training model's effectiveness varies according to the data and scenarios acquired by …
Performance of machine learning algorithms in predicting the pavement international roughness index
MZ Bashar, C Torres-Machi - Transportation Research …, 2021 - journals.sagepub.com
Significant research efforts have documented the capabilities of machine learning (ML)
algorithms to model pavement performance. Several challenges, however, limit the …
algorithms to model pavement performance. Several challenges, however, limit the …
[HTML][HTML] An average pooling designed Transformer for robust crack segmentation
Crack detection in civil infrastructures has seen impressive accuracy achieved by
Convolutional Neural Networks (CNNs) and Transformers. However, practical deployments …
Convolutional Neural Networks (CNNs) and Transformers. However, practical deployments …
Convolutional neural network for automated classification of jointed plain concrete pavement conditions
The detailed monitoring of jointed plain concrete pavement (JPCP) slab condition is
essential for cost‐effective JPCP maintenance and rehabilitation. However, existing visual …
essential for cost‐effective JPCP maintenance and rehabilitation. However, existing visual …
Detecting cracks in concrete structures with the baseline model of the visual characteristics of images
Y Liu, M Gao - Computer‐Aided Civil and Infrastructure …, 2022 - Wiley Online Library
A method based on the baseline model of the visual characteristics of images (BMVCI) is
proposed to detect cracks in concrete structures. BMVCI refers to the model, which consists …
proposed to detect cracks in concrete structures. BMVCI refers to the model, which consists …
Crack detection based on generative adversarial networks and deep learning
G Chen, S Teng, M Lin, X Yang, X Sun - KSCE Journal of Civil …, 2022 - Springer
This paper proposes a novel crack detection method using the three-stages detection
model. Deep learning technology has been a focus of attention in the field of crack detection; …
model. Deep learning technology has been a focus of attention in the field of crack detection; …
Efficient data dimensionality reduction method for improving road crack classification algorithms
FJ Rodriguez‐Lozano… - … ‐Aided Civil and …, 2023 - Wiley Online Library
Automatic crack classification plays an essential role in road maintenance. Using many
features for the classification is inefficient for implementing embedded systems with low …
features for the classification is inefficient for implementing embedded systems with low …
Measuring aggregate morphologies based on three‐dimensional curvature analysis
F Wang, Y Xiao, P Cui, L Mo - Computer‐Aided Civil and …, 2022 - Wiley Online Library
Digital image processing has become the mainstream method for measuring aggregate
morphologies. However, the results of the image method are seriously affected by the laying …
morphologies. However, the results of the image method are seriously affected by the laying …