@article{ref1,
title="3D laser triangulation and deep learning approach to tunnel inspection",
journal="Transportation research record",
year="2022",
author="Fox-Ivey, Richard and Petitclerc, Benoit and Laurent, John",
volume="2676",
number="4",
pages="393-406",
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.<p /> <p>Language: en</p>",
language="en",
issn="0361-1981",
doi="10.1177/03611981211061131",
url="http://dx.doi.org/10.1177/03611981211061131"
}