Results 11 to 20 of about 35,581 (286)
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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Exploiting low-cost 3D imagery for the purposes of detecting and analyzing pavement distresses [PDF]
, 2020 Road pavement conditions have significant impacts on safety, travel times, costs, and environmental effects. It is the responsibility of road agencies to ensure these conditions are kept in an acceptable state.
Di Mino G., Inzerillo L., Roberts R.
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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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Infiltration capacity of cracked pavements [PDF]
Proceedings of the Institution of Civil Engineers - Water Management, 2019 Understanding the hydrological behaviour of urban surfaces is imperative in the design of surface water drainage systems and flood mitigation strategies, as well as for the modelling of groundwater recharge and pollution. This study has examined the hydrological behaviour of cracked impervious surfaces through field infiltration testing and image ...
Charlotte Salt, Thomas R. Kjeldsen
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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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