Bibliometric analysis and review of deep learning-based crack detection literature published between 2010 and 2022
The use of deep learning (DL) in civil inspection, especially in crack detection, has
increased over the past years to ensure long-term structural safety and integrity. To achieve …
increased over the past years to ensure long-term structural safety and integrity. To achieve …
Enhanced precision in dam crack width measurement: Leveraging advanced lightweight network identification for pixel‐level accuracy
Z Wu, Y Tang, B Hong, B Liang… - International Journal of …, 2023 - Wiley Online Library
In dam engineering, the presence of cracks and crack width are important indicators for
diagnosing the health of dams. The accurate measurement of cracks facilitates the safe use …
diagnosing the health of dams. The accurate measurement of cracks facilitates the safe use …
Pavement Defect Detection with Deep Learning: A Comprehensive Survey
Pavement defect detection is of profound significance regarding road safety, so it has been a
trending research topic. In the past years, deep learning based methods have turned into a …
trending research topic. In the past years, deep learning based methods have turned into a …
Cognitive-based crack detection for road maintenance: an integrated system in cyber-physical-social systems
Effective road maintenance can not only achieve a balance between limited resources and
long-term high-efficiency performance of road but also reduce the loss of life and property …
long-term high-efficiency performance of road but also reduce the loss of life and property …
Pavement cracks coupled with shadows: A new shadow-crack dataset and a shadow-removal-oriented crack detection approach
Automatic pavement crack detection is a critical task for maintaining the pavement stability
and driving safety. The task is challenging because the shadows on the pavement may have …
and driving safety. The task is challenging because the shadows on the pavement may have …
A deep segmentation network for crack detection with progressive and hierarchical context fusion
L Yang, H Huang, S Kong, Y Liu - Journal of Building Engineering, 2023 - Elsevier
Accurate detection of crack defects in infrastructure is crucial to ensure their safety and
extend their service life. However, the presence of complex backgrounds, various shapes …
extend their service life. However, the presence of complex backgrounds, various shapes …
Crack detection and classification in moroccan pavement using convolutional neural network
Crack is a condition indicator of the pavement's structure. Generally, crack detection is an
essential task for effective diagnosis of the road network. Moreover, evaluation of road …
essential task for effective diagnosis of the road network. Moreover, evaluation of road …
[HTML][HTML] Predictive maintenance of Norwegian road network using deep learning models
MU Hassan, OMH Steinnes, EG Gustafsson, S Løken… - Sensors, 2023 - mdpi.com
Industry 4.0 has revolutionized the use of physical and digital systems while playing a vital
role in the digitalization of maintenance plans for physical assets in an optimal way. Road …
role in the digitalization of maintenance plans for physical assets in an optimal way. Road …
Intelligent graph convolutional neural network for road crack detection
This paper presents a novel intelligent system based on graph convolutional neural
networks to study road crack detection in intelligent transportation systems. The visual …
networks to study road crack detection in intelligent transportation systems. The visual …
A Highway Pavement Crack Identification Method Based on an Improved U-Net Model
Q Wu, Z Song, H Chen, Y Lu, L Zhou - Applied Sciences, 2023 - mdpi.com
Crack identification plays a vital role in preventive maintenance strategies during highway
pavement maintenance. Therefore, accurate identification of cracks in highway pavement …
pavement maintenance. Therefore, accurate identification of cracks in highway pavement …