Results 41 to 50 of about 9,669 (275)
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
core +1 more source
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
core +1 more source
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
doaj +1 more source
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
core +1 more source
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
Analysis of pavement condition survey data for effective implementation of a network level pavement management program for Kazakhstan [PDF]
, 2019 Pavement roads and transportation systems are crucial assets for promoting political stability, as well as economic and sustainable growth in developing countries.
Bonin, Guido +3 more
core +1 more source
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
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
doaj +1 more source
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
core +2 more sources
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