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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    Title :

    3D Laser Triangulation and Deep Learning Approach to Tunnel Inspection


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2021-11-11




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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