UAV-based studies in railway infrastructure monitoring
This review paper provides a comprehensive overview of Unmanned Aerial Vehicles (UAV) applications in railway infrastructure studies, with a specific focus on railway track infrastructure. The paper covers various aspects, including UAV types, flight performance, selection criteria, and regulations for railway environments. It explores sensor technologies used in drone-based inspections, such as imaging sensors, LiDAR, and infrared thermography. The application of UAVs in railway tracks, bridges, and tunnels is discussed in detail. The identified future prospects and challenges underscore the need for advancements in sensor technologies, the integration of AI and machine learning, and the importance of regularly updating regulatory frameworks. Overall, the integration of UAVs in railway infrastructure monitoring holds promise for enhancing safety, refining maintenance strategies, and improving operational efficiency in the railway industry.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09265805
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Supplemental Notes:
- © 2024 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Abstract reprinted with permission of Elsevier.
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Authors:
- Aela, Peyman
- Chi, Hung-Lin
- Fares, Ali
- Zayed, Tarek
- Kim, Minkoo
- Publication Date: 2024-11
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 105714
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Serial:
- Automation in Construction
- Volume: 167
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0926-5805
- Serial URL: http://www.sciencedirect.com/science/journal/09265805
Subject/Index Terms
- TRT Terms: Drones; Infrastructure; Maintenance; Monitoring; Railroads
- Subject Areas: Aviation; Maintenance and Preservation; Railroads; Vehicles and Equipment;
Filing Info
- Accession Number: 01929163
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 29 2024 9:44AM