Intelligent detection of airport pavement subtle crack based on one-stage anchor-free deep neural network

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dc.authorid0000-0003-1417-9972
dc.authorid0000-0003-4508-3076
dc.contributor.authorYuan, Bo
dc.contributor.authorTapkin, Serkan
dc.contributor.authorPei, Lili
dc.contributor.authorTercan, Emre
dc.contributor.authorZhao, Kaiyue
dc.contributor.authorLi, Wei
dc.date.accessioned2026-02-28T12:17:56Z
dc.date.available2026-02-28T12:17:56Z
dc.date.issued2024
dc.departmentBayburt Üniversitesi
dc.description.abstractTo solve issues with low-detection accuracy and high-missed detection rate in subtle pavement cracks, this research proposed an intelligent detection method based on a one-stage anchor-free deep neural network, which consists of a feature extraction network, detection neck, and detection head. The feature extraction network with an extended deep attention network is responsible for extracting the features and output at different scales. The detection neck containing the special spatial pyramid structure fuses the contextual information of different scales to improve the abstract features. The detection head is composed of the anchor-free mechanism with decoupling property and the reparameterized structure to improve the detection accuracy and balance the algorithm complexity. The experimental results demonstrate that the Precision, Recall, and F1-Score are, 92.74%, 91.92%, and 0.9233 respectively. It has advantages over the most advanced one-stage detection method. Based on testing results, it has prominent stability and robustness for subtle pavement crack detection.
dc.identifier.doi10.1080/10298436.2024.2434910
dc.identifier.issn1029-8436
dc.identifier.issn1477-268X
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85211146868
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1080/10298436.2024.2434910
dc.identifier.urihttps://hdl.handle.net/20.500.12403/6032
dc.identifier.volume25
dc.identifier.wosWOS:001369528600001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofInternational Journal of Pavement Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260218
dc.subjectIntelligent detection
dc.subjectairport pavement
dc.subjectsubtle pavement cracks
dc.subjectextended deep attention network
dc.subjectanchor-free
dc.titleIntelligent detection of airport pavement subtle crack based on one-stage anchor-free deep neural network
dc.typeArticle

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