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Evidential transformer for pavement distress segmentation
Computer-Aided Civil and Infrastructure Engineering, 2023AbstractDistress segmentation assigns each pixel of a pavement image to one distress class or background, which provides a simplified representation for distress detection and measurement. Even though remarkably benefiting from deep learning, distress segmentation still faces the problems of poor calibration and multimodel fusion.
Zheng Tong +3 more
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Pavement-distress detection using ground-penetrating radar and network in networks
Construction and Building Materials, 2020This study proposes a nondestructive testing technique for pavement distress detection using ground-penetrating radar and network in networks. Ground-penetrating radar signals are imported into two network-in-network structure as input data directly. The
Zheng Tong, Dongdong Yuan, Jie Gao
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Airport Pavement Distress Analysis
Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2023Hamid Noori, Raju Sarkar
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Pavement distress detection using convolutional neural networks with images captured via UAV
Automation in Construction, 2022Jun-qing Zhu, Jingtao Zhong, Tao Ma
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Recent computer vision applications for pavement distress and condition assessment
Automation in Construction, 2023Ayman H. El Hakea, M. Fakhr
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Multi-scale feature fusion network for pixel-level pavement distress detection
Automation in Construction, 2022Jingtao Zhong, Jun-qing Zhu
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Automated pixel-level pavement distress detection based on stereo vision and deep learning
Automation in Construction, 2021Xiaoyun Cheng
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Application of image technology on pavement distress detection: A review
Measurement: Journal of the International Measurement Confederation, 2021Zhenyu Du, Chamod Hettiarachchi
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An efficient method of pavement distress detection based on improved YOLOv7
Measurement science and technology, 2023Pavements play a pivotal role in infrastructure construction, so pavement distress detection (PDD) will greatly affect pavement service life and vehicle operation safety. Traditional manual detection and computer detection methods have such disadvantages
Cancan Yi +4 more
semanticscholar +1 more source