52 / 2017-07-31 16:04:47
Automatic detection of tunnel lining using image processing supported by terrestrial laser scanning technology
image processing,terrestrial laser scanning,tunnel lining,point cloud
Draft Pending
德良 陈 / Nanjing University of Posts and Telecommunications
燕燕 陆 / Nanjing University
东振 贾 / Hohai University
秀凤 何 / Hohai University
Tunnel lining plays an important role in designing, constructing and monitoring concrete tunnel. However, several limitations are found in current tunnel detection techniques. These are work-intensive, prone to human error, and they often require the use of expensive inspection means. In this scope, the development of automatic methods based on image processing and laser scanning to detect tunnel lining has significant advantages. The goal of this paper is to develop an automatic method for detecting bare-lining, based on the combination of image processing and terrestrial laser scanning (TLS) technology. The images captured by Control Network surveyed by TLS, solving one of the major drawbacks of applying image processing for lining detection on tunnel. The proposed method was implemented on a concrete highway tunnel monitoring project at G25 road, in Jiangsu Province, China, and proved itself to offer advantages, including detailed description and improved surveying automations and data processing efficiencies.
Important Date
  • Conference Date

    Oct 03

    2017

    to

    Oct 05

    2017

  • Jun 25 2017

    Draft paper submission deadline

  • Jul 05 2017

    Draft Paper Acceptance Notification

  • Jul 15 2017

    Final Paper Deadline

  • Oct 05 2017

    Registration deadline

Contact Information
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