| Download | - View author's version: AI-AR for bridge inspection by drone (PDF, 2.5 MiB)
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| DOI | Resolve DOI: https://doi.org/10.1007/978-3-031-06015-1_21 |
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| Author | Search for: Lapointe, Jean-François1ORCID identifier: https://orcid.org/0000-0003-2373-8035; Search for: Allili, Mohand Saïd; Search for: Belliveau, Luc1; Search for: Hebbache, Loucif; Search for: Amirkhani, Dariush; Search for: Sekkati, Hicham1 |
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| Affiliation | - National Research Council of Canada. Digital Technologies
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| Format | Text, Book Chapter |
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| Conference | VAMR 2022, Virtual, Augmented and Mixed Reality 14th International Conference, held as part of HCII 2022, the 24th HCI International Conference, June 26th - July 1, 2022, Virtual Event |
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| Subject | bridge; inspection; AI; artificial intelligence; deep learning; AR; augmented reality; UAV; UAS; RPAS; drone; remote guidance |
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| Abstract | Good and regular inspections of transportation infrastructures such as bridges and overpasses are necessary to maintain the safety of the public who uses them and the integrity of the structures. Until recently, these inspections were done entirely manually by using mainly visual inspection to detect defects on the structure. In the last few years, inspection by drone is an emerging way of achieving inspection that allows more efficient access to the structure. This paper describes a human-in-the-loop system that combines AI and AR for bridge inspection by drone. |
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| Publication date | 2022-05-29 |
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| Publisher | Springer |
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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 | c1cb5a1f-2252-4455-8691-2f9a383fb5e6 |
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| Record created | 2022-06-14 |
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| Record modified | 2023-03-20 |
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