Robust Concrete Crack Detection Using Deep Learning-Based Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Aeronautical and Space Sciences"
DOI: 10.1007/s42405-018-0120-5
Abstract: We propose a crack detection network based on an image segmentation network for robust crack detection, which utilizes information from the entire image and performs pixel-wise prediction. To overcome the lack of data, we also… read more here.
Keywords: dataset; segmentation; crack; network ... See more keywords
Autonomous concrete crack detection using deep fully convolutional neural network
Sign Up to like & getrecommendations! Published in 2019 at "Automation in Construction"
DOI: 10.1016/j.autcon.2018.11.028
Abstract: Abstract Crack detection is a critical task in monitoring and inspection of civil engineering structures. Image classification and bounding box approaches have been proposed in existing vision-based automated concrete crack detection methods using deep convolutional… read more here.
Keywords: crack; using deep; concrete crack; network ... See more keywords
Structural crack detection using deep convolutional neural networks
Sign Up to like & getrecommendations! Published in 2022 at "Automation in Construction"
DOI: 10.1016/j.autcon.2021.103989
Abstract: Abstract Convolutional Neural Networks (CNN) have immense potential to solve a broad range of computer vision problems. It has achieved encouraging results in numerous applications of engineering, medical, and other research fields due to the… read more here.
Keywords: crack detection; neural networks; detection using; convolutional neural ... See more keywords
Distribution equalization learning mechanism for road crack detection
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.057
Abstract: Abstract Visual-based road crack detection becomes a hot research topic over the last decade because of its huge application demands. Road crack detection is actually a special form of salient object detection task, whose objects… read more here.
Keywords: detection; crack detection; distribution equalization; road crack ... See more keywords
Crack detection and localization in a fluid pipeline based on acoustic emission signals
Sign Up to like & getrecommendations! Published in 2021 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2020.107254
Abstract: Abstract This paper introduces a novel approach to crack detection and localization in a pipeline transporting fluid under high pressure. From acoustic emission signals acquired by two R15i-AST sensors at two ends of a fluid… read more here.
Keywords: pipeline; emission; detection localization; acoustic emission ... See more keywords
Comprehensive, Quantitative Crack Detection Algorithm Performance Evaluation System
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Computing in Civil Engineering"
DOI: 10.1061/(asce)cp.1943-5487.0000696
Abstract: AbstractAutomated pavement crack detection is essential to a cost-effective pavement asset management system. Many automated crack detection algorithms (CDAs) have been developed, but they lack a s... read more here.
Keywords: comprehensive quantitative; crack detection; system; quantitative crack ... See more keywords
Self-Supervised Structure Learning for Crack Detection Based on Cycle-Consistent Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Computing in Civil Engineering"
DOI: 10.1061/(asce)cp.1943-5487.0000883
Abstract: AbstractDeep learning is a state-of-the-art approach to pixel-level crack detection. However, it relies on a large number of source–target image pairs for the training, which is very expensive. Thi... read more here.
Keywords: self supervised; structure learning; crack detection; supervised structure ... See more keywords
Machine Learning for Crack Detection: Review and Model Performance Comparison
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Computing in Civil Engineering"
DOI: 10.1061/(asce)cp.1943-5487.0000918
Abstract: AbstractWith the advancement of machine learning (ML) and deep learning (DL), there is a great opportunity to enhance the development of automatic crack detection algorithms. In this paper, the aut... read more here.
Keywords: learning crack; machine learning; crack detection; detection review ... See more keywords
Smart bricks for strain sensing and crack detection in masonry structures
Sign Up to like & getrecommendations! Published in 2018 at "Smart Materials and Structures"
DOI: 10.1088/1361-665x/aa98c2
Abstract: The paper proposes the novel concept of smart bricks as a durable sensing solution for structural health monitoring of masonry structures. The term smart bricks denotes piezoresistive clay bricks with suitable electronics capable of outputting… read more here.
Keywords: masonry; smart bricks; crack detection; masonry structures ... See more keywords
Infrared Thermal Imaging-Based Crack Detection Using Deep Learning
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2958264
Abstract: Vision-based approaches are widely used in steel crack detection. After processing the images taken by the camera, the superficial defects can be detected. Due to the common limitation of the nature of photographic images, internal… read more here.
Keywords: network; crack; infrared thermal; thermal imaging ... See more keywords
Review of Pavement Defect Detection Methods
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DOI: 10.1109/access.2020.2966881
Abstract: Road pavement cracks detection has been a hot research topic for quite a long time due to the practical importance of crack detection for road maintenance and traffic safety. Many methods have been proposed to… read more here.
Keywords: performance; detection methods; image processing; crack detection ... See more keywords