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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Crespin Prudence Yabi, Godfree F. Gbehoun, Bio Chéissou Koto Tamou, Eric Alamou, Mohamed Gibigaye, Ehsan Noroozinejad Farsangi
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-04-01
Serie:	Infrastructures
Soggetti:	asphalt pavement pavement distress classification image classification road maintenance convolutional neural network
Accesso online:	https://www.mdpi.com/2412-3811/10/5/111
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!