Efficient processing algorithm for large 3D scan dataset of NATM tunnels

M. Won, D. Cho, Hun Hee Cho, Kyung In Kang, I. Heo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Tunnel surveying requires fast and accurate data processing because a tunnel excavation pattern and its work sequences are dependent on the surveying result in the field. While a total station is widely used for measuring reference points in tunnel projects, the data from the total station are too limited in implementing some of the functions required for project control. Recently, 3D laser scanners have been tested in some tunnel projects, because they generate high-density data within several minutes. On the other hand, software development to facilitate processing the resulting large dataset is essential for its wide adoption on tunnel projects. We propose efficient data processing algorithms to accelerate continuous data processing and to facilitate downsizing data points, considering the characteristics of tunnel projects using The New Austrian Tunneling Method.

Original languageEnglish
Title of host publicationCongress on Computing in Civil Engineering, Proceedings
Pages501-508
Number of pages8
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 ASCE International Conference on Computing in Civil Engineering - Clearwater Beach, FL, United States
Duration: 2012 Jun 172012 Jun 20

Other

Other2012 ASCE International Conference on Computing in Civil Engineering
CountryUnited States
CityClearwater Beach, FL
Period12/6/1712/6/20

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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  • Cite this

    Won, M., Cho, D., Cho, H. H., Kang, K. I., & Heo, I. (2012). Efficient processing algorithm for large 3D scan dataset of NATM tunnels. In Congress on Computing in Civil Engineering, Proceedings (pp. 501-508) https://doi.org/10.1061/9780784412343.0063