3D Laser Triangulation and Deep Learning Approach to Tunnel Inspection
| Author(s): |
Richard Fox-Ivey
Benoit Petitclerc John Laurent |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Transportation Research Record: Journal of the Transportation Research Board, 30 December 2021, n. 4, v. 2676 |
| Page(s): | 393-406 |
| DOI: | 10.1177/03611981211061131 |
| Abstract: |
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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10777895 - Published on:
12/05/2024 - Last updated on:
12/05/2024
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