Results 41 to 50 of about 9,741 (295)
Automatic Pavement Crack Detection Fusing Attention Mechanism
Electronics, 2022 Pavement cracks can result in the degradation of pavement performance. Due to the lack of timely inspection and reparation for the pavement cracks, with the development of cracks, the safety and service life of the pavement can be decreased. To curb the development of pavement cracks, detecting these cracks accurately plays an important role.
Junhua Ren +5 more
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Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding
, 2019 Crack is one of the most common road distresses which may pose road safety hazards. Generally, crack detection is performed by either certified inspectors or structural engineers. This task is, however, time-consuming, subjective and labor-intensive.
Bocus, Mohammud Junaid +7 more
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Review: optical fiber sensors for civil engineering applications [PDF]
, 2013 Optical fiber sensor (OFS) technologies have developed rapidly over the last few decades, and various types of OFS have found practical applications in the field of civil engineering. In this paper, which is resulting from the work of the RILEM technical
B Poumellec +64 more
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IEEE Access, 2021 Pavement cracks are severely affecting highway performance. Thus, implementing high-precision highway pavement crack detection is important for highway maintenance.
Kun Yan, Zhihua Zhang
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Detection of curved lines with B-COSFIRE filters: A case study on crack delineation
, 2017 The detection of curvilinear structures is an important step for various computer vision applications, ranging from medical image analysis for segmentation of blood vessels, to remote sensing for the identification of roads and rivers, and to biometrics ...
A Hoover +20 more
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Pavement Crack Detection Using Fractal Dimension and Semi-Supervised Learning
Fractal and FractionalPavement cracks are crucial indicators for assessing the structural health of asphalt roads. Existing automated crack detection models depend on large quantities of precisely annotated crack sample data.
Wenhao Guo +3 more
doaj +1 more source
Iteratively Optimized Patch Label Inference Network for Automatic Pavement Disease Detection
, 2021 We present a novel deep learning framework named the Iteratively Optimized Patch Label Inference Network (IOPLIN) for automatically detecting various pavement diseases that are not solely limited to specific ones, such as cracks and potholes.
Huang, Sheng +4 more
core
Pavement testing by integrated geophysical methods: Feasibility, resolution and diagnostic potential [PDF]
, 2017 This work is focused on the assessment of the diagnostic potential of several geophysical methods when applied to the investigation of a rigid airport pavement.
CARDARELLI, Ettore +4 more
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Pavement Crack Detection Based on the Improved Swin-Unet Model
BuildingsAccurate pavement surface crack detection is crucial for analyzing pavement survey data and the development of maintenance strategies. On the basis of Swin-Unet, this study develops the improved Swin-Unet (iSwin-Unet) model with the developed skip ...
Song Chen +6 more
doaj +1 more source
IEEE Access, 2019 Crack junction is the crossing or branching point of different cracks in the pavement image. It represents the branch of transverse crack or longitudinal crack, and describes the interlaced network of alligator crack.
Yanli Wang, Yuchun Huang, Weihong Huang
doaj +1 more source