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 …
[HTML][HTML] A Review of Computer Vision-Based Crack Detection Methods in Civil Infrastructure: Progress and Challenges
Q Yuan, Y Shi, M Li - Remote Sensing, 2024 - mdpi.com
Cracks are a common defect in civil infrastructures, and their occurrence is often closely
related to structural loading conditions, material properties, design and construction, and …
related to structural loading conditions, material properties, design and construction, and …
Automatic tunnel lining crack evaluation and measurement using deep learning
A tunnel is an imperative underground passageway that supports fast and uninterrupted
transportation. Over time, various factors, such as ageing, topographical changes, and …
transportation. Over time, various factors, such as ageing, topographical changes, and …
Deep learning-based masonry crack segmentation and real-life crack length measurement
While there have been a considerable number of studies on computer vision (CV)-based
crack detection on concrete/asphalt public facilities, such as sewers and tunnels, masonry …
crack detection on concrete/asphalt public facilities, such as sewers and tunnels, masonry …
Semi-supervised learning framework for crack segmentation based on contrastive learning and cross pseudo supervision
Fast and accurate crack segmentation plays an important role in the predictive maintenance
of constructed facilities and civil infrastructures. However, it is worth noting that current deep …
of constructed facilities and civil infrastructures. However, it is worth noting that current deep …
Weakly supervised crack segmentation using crack attention networks on concrete structures
A Mishra, G Gangisetti… - Structural Health …, 2024 - journals.sagepub.com
Crack detection or segmentation on concrete structures is a vital process in structural health
monitoring (SHM). Though supervised machine learning techniques have gained …
monitoring (SHM). Though supervised machine learning techniques have gained …
Batched-image detection model and deployment method for tunnel lining defects using line-scan cameras based on experiments study
S Qin, T Qi, B Lei, X Huang - Tunnelling and Underground Space …, 2023 - Elsevier
High-performance line-scan cameras are highly accurate and efficient for tunnel detection,
however, the exponential growth of image data creates new challenges for real-time image …
however, the exponential growth of image data creates new challenges for real-time image …
MaMiNet: Memory-attended multi-inference network for surface-defect detection
Surface-defect detection has attracted extensive attention in the field of industrial inspection
but remains challenging, owing to the rare occurrence and the various appearance of the …
but remains challenging, owing to the rare occurrence and the various appearance of the …
Attention‐guided multiscale neural network for defect detection in sewer pipelines
Sanitary sewer systems are major infrastructures in every modern city, which are essential in
protecting water pollution and preventing urban waterlogging. Since the conditions of sewer …
protecting water pollution and preventing urban waterlogging. Since the conditions of sewer …
Learning position information from attention: End-to-end weakly supervised crack segmentation with GANs
Y Liu, J Chen, J Hou - Computers in Industry, 2023 - Elsevier
Despite the impressive progress of fully supervised crack segmentation, the tedious pixel-
level annotation restricts its general application. Weakly supervised crack segmentation with …
level annotation restricts its general application. Weakly supervised crack segmentation with …