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.
3D Laser Triangulation and Deep Learning Approach to Tunnel Inspection
Transportation Research Record: Journal of the Transportation Research Board
Transportation Research Record: Journal of the Transportation Research Board ; 2676 , 4 ; 393-406
11.11.2021
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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