Analysis and Classification of Distress on Flexible Pavements Using Convolutional Neural Networks: A Case Study in Benin Republic

Analysis and Classification of Distress on Flexible Pavements Using Convolutional Neural Networks: A Case Study in Benin Republic

Roads are critical infrastructure in multi-sectoral development. Any country that aims to expand and stabilize its activities must have a network of paved roads in good condition. However, that is not the case in many countries. The usual methods of recording and classifying pavement distress on the...

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Bibliographic Details
Main Authors: Crespin Prudence Yabi, Godfree F. Gbehoun, Bio Chéissou Koto Tamou, Eric Alamou, Mohamed Gibigaye, Ehsan Noroozinejad Farsangi
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Infrastructures
Subjects:
asphalt pavement
pavement distress classification
image classification
road maintenance
convolutional neural network
Online Access:https://www.mdpi.com/2412-3811/10/5/111
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