Automated Distress Detection, Classification and Measurement for Asphalt Urban Pavements Using YOLO

In pavement management, it is essential to have a good database with information on the condition of the roads that compose the corresponding network. In Chile, such a database does not currently exist, and there is no technology that can evaluate urban pavement condition in an efficient way. On thi...

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Bibliographic Details
Published in:	Engineering Proceedings
Main Authors:	Paulina Gómez-Conti, Alelí Osorio-Lird, Héctor Allende-Cid
Format:	Article
Language:	English
Published:	MDPI AG 2023-08-01
Subjects:	asphalt pavement urban pavements distress detection distress classification deep learning convolutional neural network
Online Access:	https://www.mdpi.com/2673-4591/36/1/58

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