| Download | - View accepted manuscript: Field trials of an AI-AR-based system for remote bridge inspection by drone (PDF, 8.7 MiB)
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| DOI | Resolve DOI: https://doi.org/10.1007/978-3-031-76824-8_20 |
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| Author | Search for: Lapointe, Jean-François1ORCID identifier: https://orcid.org/0000-0003-2373-8035; Search for: Allili, Mohand SaïdORCID identifier: https://orcid.org/0000-0001-8736-6600; Search for: Hammouche, Nadir1ORCID identifier: https://orcid.org/0009-0004-5093-030X |
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| Affiliation | - National Research Council Canada. Digital Technologies
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| Format | Text, Book Chapter |
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| Conference | 26th International Conference on Human-Computer Interaction, HCII 2024, June 29 – July 4, 2024, Washington, D.C., United States |
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| Subject | bridge inspection; remote guidance; concrete bridges; drone; UAV; artificial intelligence (AI); augmented reality (AR); field trial |
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| Abstract | Bridge inspections are important to ensure the safety of users of these critical transportation infrastructures and avoid tragedies that could be caused by the collapse of these infrastructures. This paper describes the results of field trials of an advanced system for remotely guided inspection of bridges by a drone, which relies on artificial intelligence and augmented reality to achieve it. Results indicate that a high speed network link is critical to achieve good performance. |
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| Publication date | 2024-12-11 |
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| Publisher | Springer Nature |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | d6fd8080-3c56-4d59-a4e4-81a93ba3ffae |
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| Record created | 2024-12-20 |
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| Record modified | 2025-04-07 |
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