<i>PCIer</i>: Pavement Condition Evaluation Using Aerial Imagery and Deep Learning

<i>PCIer</i>: Pavement Condition Evaluation Using Aerial Imagery and Deep Learning

This paper aims to explore and evaluate aerial imagery and deep learning technology in pavement condition evaluation. A convolutional neural network (CNN) model, named <i>PCIer</i>, was designed to process aerial images and produce pavement condition index (PCI) estimations, which are cl...

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Bibliographic Details
Main Authors: Sisi Han, In-Hun Chung, Yuhan Jiang, Benjamin Uwakweh
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Geographies
Subjects:
aerial imagery
convolutional neural network (CNN)
pavement condition index (PCI)
Online Access:https://www.mdpi.com/2673-7086/3/1/8

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