DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation

DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation

Crack detection and measurement are essential tasks for maintaining and ensuring safety. Accurate crack detection is very challenging because of non-uniform intensity, poor continuity, and irregular patterns of cracks. The complexity of the background and variability in the data acquisition process...

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Bibliographic Details
Main Authors: Vladimir Polovnikov, Dmitriy Alekseev, Ivan Vinogradov, George V. Lashkia
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
crack detection
U-Net
pavement crack segmentation
Online Access:https://ieeexplore.ieee.org/document/9531629/

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