3D Laser Triangulation and Deep Learning Approach to Tunnel Inspection
Auteur(s): |
Richard Fox-Ivey
Benoit Petitclerc John Laurent |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Transportation Research Record: Journal of the Transportation Research Board, 30 décembre 2021, n. 4, v. 2676 |
Page(s): | 393-406 |
DOI: | 10.1177/03611981211061131 |
Abstrait: |
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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sur cette fiche - Reference-ID
10777895 - Publié(e) le:
12.05.2024 - Modifié(e) le:
12.05.2024