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 …
Data-driven structural health monitoring and damage detection through deep learning: State-of-the-art review
Data-driven methods in structural health monitoring (SHM) is gaining popularity due to
recent technological advancements in sensors, as well as high-speed internet and cloud …
recent technological advancements in sensors, as well as high-speed internet and cloud …
Novel visual crack width measurement based on backbone double-scale features for improved detection automation
Y Tang, Z Huang, Z Chen, M Chen, H Zhou… - Engineering …, 2023 - Elsevier
State-of-the-art machine-vision systems have limitations associated with crack width
measurements. The sample points used to describe the crack width are often subjectively …
measurements. The sample points used to describe the crack width are often subjectively …
Vision-based concrete crack detection using a hybrid framework considering noise effect
Diagnosing surface cracks of concrete structures has been a critical aspect of assessing
structural integrity. Existing diagnosis technologies are time-consuming, subjective, and …
structural integrity. Existing diagnosis technologies are time-consuming, subjective, and …
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 …
Review on computer vision-based crack detection and quantification methodologies for civil structures
Computer vision-based crack analysis for civil infrastructure has become popular to
automatically process inspection imaging data for crack detection, localisation and …
automatically process inspection imaging data for crack detection, localisation and …
Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete
S Dorafshan, RJ Thomas, M Maguire - Construction and Building Materials, 2018 - Elsevier
This paper compares the performance of common edge detectors and deep convolutional
neural networks (DCNN) for image-based crack detection in concrete structures. A dataset of …
neural networks (DCNN) for image-based crack detection in concrete structures. A dataset of …
Automated crack detection and crack depth prediction for reinforced concrete structures using deep learning
Automatic inspection for crack detection and estimation of the crack depth is critical in
assessing the damage and determining the appropriate method of repair in concrete …
assessing the damage and determining the appropriate method of repair in concrete …
A research on an improved Unet-based concrete crack detection algorithm
L Zhang, J Shen, B Zhu - Structural Health Monitoring, 2021 - journals.sagepub.com
Crack is an important indicator for evaluating the damage level of concrete structures.
However, traditional crack detection algorithms have complex implementation and weak …
However, traditional crack detection algorithms have complex implementation and weak …
Automated vision-based detection of cracks on concrete surfaces using a deep learning technique
At present, a number of computer vision-based crack detection techniques have been
developed to efficiently inspect and manage a large number of structures. However, these …
developed to efficiently inspect and manage a large number of structures. However, these …