Comparison of deep convolutional neural network classifiers and the effect of scale encoding for automated pavement assessment

Deep learning has received a growing interest in recent years for detecting different types of pavement distresses and automating pavement condition assessment. A proper choice of deep learning models is key for successful pavement assessment applications. In this study, we first present a comprehen...

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Bibliographic Details
Main Authors: Elham Eslami, Hae-Bum Yun
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-04-01
Series:Journal of Traffic and Transportation Engineering (English ed. Online)
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2095756423000338

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