Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada

Pavement distresses, including cracking and disintegration, deteriorate road user’s comfort, damage vehicles, increase evasive maneuvers, and increase emissions. Transportation agencies spend a significant portion of their budget to monitor and maintain road pavements. Pavement distress can be ident...

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Bibliographic Details

Published in:	International Journal of Transportation Science and Technology
Main Authors:	Ce Zhang, Ehsan Nateghinia, Luis F. Miranda-Moreno, Lijun Sun
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2022-06-01
Subjects:	Pavement distress type detection and classification Road maintenance operation Camera-based pavement monitoring system Convolutional neural network
Online Access:	http://www.sciencedirect.com/science/article/pii/S2046043021000307