UAV-Driven Structural Crack Detection and Location Determination Using Convolutional Neural Networks

UAV-Driven Structural Crack Detection and Location Determination Using Convolutional Neural Networks

Structural cracks are a vital feature in evaluating the health of aging structures. Inspectors regularly monitor structures’ health using visual information because early detection of cracks on highly trafficked structures is critical for maintaining the public’s safety. In this work, a framework fo...

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Bibliographic Details
Main Authors: Daegyun Choi, William Bell, Donghoon Kim, Jichul Kim
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
crack detection
deep learning
convolutional neural network
image processing
unmanned aerial vehicle
Online Access:https://www.mdpi.com/1424-8220/21/8/2650

Internet

https://www.mdpi.com/1424-8220/21/8/2650

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