Results 11 to 20 of about 3,072 (261)
Applied Sciences, 2022 Thanks to the development of deep learning, the use of data-driven methods to detect pavement distresses has become an active research field. This research makes four contributions to address the problem of efficiently detecting cracks and sealed cracks ...
Nan Yang, Yongshang Li, Ronggui Ma
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UAV-PDD2023: A benchmark dataset for pavement distress detection based on UAV images
Data in Brief, 2023 The UAV-PDD2023 dataset consists of pavement distress images captured by unmanned aerial vehicles (UAVs) in China with more than 11,150 instances under two different weather conditions and across varying levels of construction quality.
Haohui Yan, Junfei Zhang
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Correlation analysis of highway asphalt pavement distress based on Spearman correlation coefficient [PDF]
E3S Web of ConferencesIn order to improve the operational life of highway asphalt pavements, reduce urban traffic safety accidents, and improve pavement travelling comfort, this paper analyze the frequency of different highway asphalt pavement distresses and calculates the ...
Tian Yuhe +5 more
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Case Studies in Construction Materials, 2023 Cracking is a prevalent issue in expressway pavements in Shanxi Province, exhibiting various types. Based on field investigations, the primary types of asphalt pavement cracks observed in Shanxi expressways can be categorized as top-down crack (TDC ...
Xu Xia +5 more
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YOLOv7 Deep Learning Model for Pavement Crack Detection Using Close Range Photogrammetry Dataset. [PDF]
Port Said Engineering Research JournalDeveloping an effective system for detecting and classifying pavement cracks is crucial for ensuring traffic safety. However, the procedure of manual inspection for identifying these cracks can be hazardous and time-consuming.
Fekry Ashraf +2 more
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Advances in Materials Science and Engineering, 2021 The detection of various cracks on pavement surfaces has drawn more and more attention from pavement maintenance engineers. In the traditional pavement image segmentation, due to the small area of the pavement cracks, the gray level of crack pixels only ...
Haihang Han +5 more
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Efficient pavement crack detection and classification [PDF]
EURASIP Journal on Image and Video Processing, 2017 Each year, millions of dollars are invested on road maintenance and reparation all over the world. In order to minimize costs, one of the main aspects is the early detection of those flaws. Different types of cracks require different types of repairs; therefore, not only a crack detection is required but a crack type classification.
Antonio Cubero Fernández +4 more
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Automatic Pavement Crack Recognition Based on BP Neural Network
Promet (Zagreb), 2014 A feasible pavement crack detection system plays an important role in evaluating the road condition and providing the necessary road maintenance. In this paper, a back propagation neural network (BPNN) is used to recognize pavement cracks from images. To
Li Li +3 more
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Analysis and Optimization of the Causes of Cracks in the Pavement of Highway and Railway Intersections [PDF]
E3S Web of ConferencesFirstly, an in-depth analysis is conducted on the principle of crack formation in the pavement panel of highway and railway level crossings and the reasons for cracks under load. Then, based on the characteristics of crack formation in the pavement panel,
Huang Xingqi +3 more
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Numerical Simulation on Reflective Cracking Behavior of Asphalt Pavement
Applied Sciences, 2021 Cracks are one of the main problems that plague road workers. A correct understanding of the internal crack propagation mechanism of asphalt pavement will help road workers evaluate the road’s working status more comprehensively and make more reasonable ...
Houzhi Wang +3 more
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