Improving detection of asphalt distresses with deep learning-based diffusion model for intelligent road maintenance

Research on road infrastructure structural health monitoring is critical due to the increasing problem of deteriorated conditions. The traditional approach to pavement distress detection relies on human-based visual recognition, a time-consuming and labor-intensive method. While Deep Learning-based...

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Bibliographic Details

Published in:	Developments in the Built Environment
Main Authors:	Saúl Cano-Ortiz, Lara Lloret Iglesias, Pablo Martinez Ruiz del Árbol, Daniel Castro-Fresno
Format:	Article
Language:	English
Published:	Elsevier 2024-03-01
Subjects:	Computer vision Deep learning Pavement distress detection Road maintenance Data augmentation Diffusion model
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666165923001977