Pavement Monitoring Using Unmanned Aerial Vehicles: An Overview
Publication: Journal of Transportation Engineering, Part B: Pavements
Volume 149, Issue 3
Abstract
Pavement monitoring involves periodic damage detection and condition assessment of pavements for efficient pavement management. Unmanned aerial vehicle (UAV)-based pavement monitoring requires multidisciplinary knowledge of pavement distress, drone type, payload, flight parameters, drone deployment, and image processing. Owing to the availability of various UAVs, data sensing devices, operating ecosystems, and post-processing tools, selecting an appropriate combination of these systems is crucial. Therefore, the primary objective of this study is to provide essential knowledge on the prevalent challenges of existing monitoring techniques and discuss the potential advantages of UAVs over conventional pavement monitoring practice. A state-of-the-art review emphasizing UAV technicalities in the context of image-based pavement monitoring is presented. A detailed workflow and checklist for drone deployment is drafted for novice users to ensure safe and high-quality data acquisition. Finally, the present challenges and future scope of UAV-based pavement monitoring is discussed. Overall, this study aims to provide inclusive and comprehensive information on UAV-based pavement monitoring to beginner researchers.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
This work was supported by the National Research Foundation of Korea (NRF) grants for the Brain Pool Projects (2021H1D3A2A02044785 and 2022H1D3A2A01096145). The authors sincerely thank the anonymous reviewers for helping improve the quality of this manuscript.
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Journal of Transportation Engineering, Part B: Pavements
Volume 149 • Issue 3 • September 2023
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© 2023 American Society of Civil Engineers.
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Published online: May 27, 2023
Published in print: Sep 1, 2023
Discussion open until: Oct 27, 2023
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