Automatic Segmentation of Asphalt Cracks on Highways After Large-Scale and Severe Earthquakes Using Deep Learning-Based Approaches

Automatic Segmentation of Asphalt Cracks on Highways After Large-Scale and Severe Earthquakes Using Deep Learning-Based Approaches

This study develops a deep learning-based automated system for detecting and segmenting earthquake-induced asphalt cracks, offering a rapid and reliable solution for post-disaster road condition assessments. Unlike traditional manual inspections, which are time-consuming and error-prone, our approac...

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Bibliographic Details
Main Authors: Mehmet Yilmaz, Erkut Yalcin, Fatih Demir, Ahmet Munir Ozdemir, Muhammed Atar, Aysegul Gunes, Beyza Furtana Yalcin, Ertugrul Cambay
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Asphalt deformations
decision support systems
deep learning
segmentation
Online Access:https://ieeexplore.ieee.org/document/10858133/
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https://ieeexplore.ieee.org/document/10858133/

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