3D Laser Triangulation and Deep Learning Approach to Tunnel Inspection
Autor(en): |
Richard Fox-Ivey
Benoit Petitclerc John Laurent |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Transportation Research Record: Journal of the Transportation Research Board, 30 Dezember 2021, n. 4, v. 2676 |
Seite(n): | 393-406 |
DOI: | 10.1177/03611981211061131 |
Abstrakt: |
Regular inspection of tunnel surfaces is an important practice from both a safety and tunnel asset management perspective. However, inspection for cracking and spalling is still predominantly a manual task, which is time consuming, subjective, and exposes on-foot staff to risk. This presentation will explore the use of 3D laser scanning technology and artificial intelligence to automate the inspection process with a Canadian metro case study being presented. |
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Datenseite - Reference-ID
10777895 - Veröffentlicht am:
12.05.2024 - Geändert am:
12.05.2024