Results 11 to 20 of about 19,445 (266)
Automatic Pavement Crack Detection and Classification Using Multiscale Feature Attention Network
IEEE Access, 2019 Pavement crack detection and characterization is a fundamental part of road intelligent maintenance systems. Due to the high non-uniformity of cracks, topological complexity, and similar noise from crack texture, the challenge arises in this domain with ...
Weidong Song +3 more
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Double-Probe Ultrasonic Detection Method for Cracks in Steel Structure
Applied Sciences, 2020 To investigate the feasibility analysis of ultrasonic detection methods applied in the fatigue crack characteristics of steel structures, the double-probe ultrasonic detection method was applied to the prefabricated crack specimens fabricated from of ...
Xin Chen +4 more
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DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation
IEEE Access, 2021 Crack detection and measurement are essential tasks for maintaining and ensuring safety. Accurate crack detection is very challenging because of non-uniform intensity, poor continuity, and irregular patterns of cracks.
Vladimir Polovnikov +3 more
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Crack Detection of Concrete Images Using Dilatation and Crack Detection Algorithms
Applied Sciences, 2023 Crack detection in structures is an important and time-consuming element of monitoring the health of structures and ensuring structural safety. The traditional visual inspection of structures can be unsafe and may produce inconsistent results. Thus, there is a need for a method to easily and accurately identify and analyze cracks.
Byeong-Cheol Kim, Byung-Jik Son
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Review of Pavement Defect Detection Methods
IEEE Access, 2020 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 solve this problem.
Wenming Cao, Qifan Liu, Zhiquan He
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IEEE Access, 2023 In order to solve the problem that the crack defects generated on the surface of MEMS devices are difficult to detect under high overload impact, this paper proposes a crack detection method based on attribute weighted naive Bayes improved OTSU algorithm.
Yu Zheng +3 more
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Crack-pot: Autonomous Road Crack and Pothole Detection [PDF]
2018 Digital Image Computing: Techniques and Applications (DICTA), 2018 With the advent of self-driving cars and autonomous robots, it is imperative to detect road impairments like cracks and potholes and to perform necessary evading maneuvers to ensure fluid journey for on-board passengers or equipment. We propose a fully autonomous robust real-time road crack and pothole detection algorithm which can be deployed on any ...
Sukhad Anand +3 more
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APLCNet: Automatic Pixel-Level Crack Detection Network Based on Instance Segmentation
IEEE Access, 2020 The accurate and automatic detection of pavement cracks is essential for pavement maintenance. However, automatic crack detection remains a challenging problem due to the inconspicuous visual features of cracks in complex pavement backgrounds, the ...
Yuefei Zhang +4 more
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Crack U-Net:Towards High Quality Pavement Crack Detection [PDF]
Jisuanji kexue, 2022 Pavement cracks constitute a major potential threat to driving safety.Previous manual detection methods are highly subjective and inefficient.Current computer vision methods have limited applications in crack detection.Existing models have poor ...
ZHU Yi-fan, WANG Hai-tao, LI Ke, WU He-jun
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Road Crack Detection Based on Position Information and Attention Mechanism [PDF]
Jisuanji gongchengRoad cracks are the main cause of highway safety problems. Traditional crack detection is typically based on manual detection, which faces problems such as low efficiency and insecurity.
WANG Anzheng, DANG Jianwu, YUE Biao, YANG Jingyu
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