Abstract
In the process of tunnel construction and operation, the traditional method of crack inspection in tunnel operation is through manual photographing and field recording which is not only labor-intensive with lower data quality but also hard to obtain the important geometric information of the cracks. With the development of terrestrial laser scanning technology, Three-dimensional point cloud collection from a tunnel becomes feasible and affordable. In this paper, we propose an automatic crack detection method to automatically identify the cracks from the 3D point cloud of a tunnel and also extract the corresponding dimension information of the cracks. Through a field experiment with a tunnel project, the feasibility of the proposed method was validated, and the experiment results showed that the proposed method could detect the severe crack diseases with a width of more than 0.6 mm with the relative errors of the width and the length within 10%.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
