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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 techniques for crack detection, classification and quantification in asphalt pavement: a review
Pavement condition information is a significant component in Pavement Management
Systems. The labeling and quantification of the type, severity, and extent of surface cracking …
Systems. The labeling and quantification of the type, severity, and extent of surface cracking …
Pavement crack detection based on transformer network
Accurate pavement surface crack detection is essential for pavement assessment and
maintenance. This study aims to improve pavement crack detection under noisy conditions …
maintenance. This study aims to improve pavement crack detection under noisy conditions …
Deep learning-based road damage detection and classification for multiple countries
Many municipalities and road authorities seek to implement automated evaluation of road
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …
Automatic pixel‐level crack detection and measurement using fully convolutional network
The spatial characteristics of cracks are significant indicators to assess and evaluate the
health of existing buildings and infrastructures. However, the current manual crack …
health of existing buildings and infrastructures. However, the current manual crack …
Autonomous structural visual inspection using region‐based deep learning for detecting multiple damage types
Computer vision‐based techniques were developed to overcome the limitations of visual
inspection by trained human resources and to detect structural damage in images remotely …
inspection by trained human resources and to detect structural damage in images remotely …
Pavement distress detection and classification based on YOLO network
The detection and classification of pavement distress (PD) play a critical role in pavement
maintenance and rehabilitation. Research on PD automation detection and measurement …
maintenance and rehabilitation. Research on PD automation detection and measurement …
Encoder–decoder network for pixel‐level road crack detection in black‐box images
Timely monitoring of pavement cracks is essential for successful maintenance of road
infrastructure. Accurate information concerning crack location and severity enables proactive …
infrastructure. Accurate information concerning crack location and severity enables proactive …
NB-CNN: Deep learning-based crack detection using convolutional neural network and Naïve Bayes data fusion
Regular inspection of nuclear power plant components is important to guarantee safe
operations. However, current practice is time consuming, tedious, and subjective, which …
operations. However, current practice is time consuming, tedious, and subjective, which …
Generative adversarial network for road damage detection
Abstract Machine learning can produce promising results when sufficient training data are
available; however, infrastructure inspections typically do not provide sufficient training data …
available; however, infrastructure inspections typically do not provide sufficient training data …