A Deep Learning Approach for Surface Crack Classification and Segmentation in Unmanned Aerial Vehicle Assisted Infrastructure Inspections

A Deep Learning Approach for Surface Crack Classification and Segmentation in Unmanned Aerial Vehicle Assisted Infrastructure Inspections

Surface crack detection is an integral part of infrastructure health surveys. This work presents a transformative shift towards rapid and reliable data collection capabilities, dramatically reducing the time spent on inspecting infrastructures. Two unmanned aerial vehicles (UAVs) were deployed, enab...

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Bibliographic Details
Main Authors: Shamendra Egodawela, Amirali Khodadadian Gostar, H. A. D. Samith Buddika, A. J. Dammika, Nalin Harischandra, Satheeskumar Navaratnam, Mojtaba Mahmoodian
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
concrete cracks
unmanned aerial vehicles (UAVs)
deep learning
convolutional neural network (CNN)
Online Access:https://www.mdpi.com/1424-8220/24/6/1936

Internet

https://www.mdpi.com/1424-8220/24/6/1936

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