Point cloud data conversion into solid models via point-based voxelization

Tommy Hinks, Hamish Carr, Linh Truong-Hong, Debra Laefer

Research output: Contribution to journalArticle

Abstract

Automated conversion of point cloud data from laser scanning into formats appropriate for structural engineering holds great promise for exploiting increasingly available aerially and terrestrially based pixelized data for a wide range of surveying-related applications from environmental modeling to disaster management. This paper introduces a point-based voxelization method to automatically transform point cloud data into solid models for computational modeling. The fundamental viability of the technique is visually demonstrated for both aerial and terrestrial data. For aerial and terrestrial data, this was achieved in less than 30 s for data sets up to 650,000 points. In all cases, the solid models converged without any user intervention when processed in a commercial finite-element method program.

Original languageEnglish (US)
Pages (from-to)72-83
Number of pages12
JournalJournal of Surveying Engineering
Volume139
Issue number2
DOIs
StatePublished - 2013

Fingerprint

Antennas
Surveying
Structural design
Disasters
Scanning
Finite element method
Lasers

Keywords

  • Aerial
  • Computational modeling
  • Finite element
  • Laser scanning
  • LiDAR
  • Solid models
  • Terrestrial
  • Voxelization

ASJC Scopus subject areas

  • Civil and Structural Engineering

Cite this

Point cloud data conversion into solid models via point-based voxelization. / Hinks, Tommy; Carr, Hamish; Truong-Hong, Linh; Laefer, Debra.

In: Journal of Surveying Engineering, Vol. 139, No. 2, 2013, p. 72-83.

Research output: Contribution to journalArticle

Hinks, Tommy ; Carr, Hamish ; Truong-Hong, Linh ; Laefer, Debra. / Point cloud data conversion into solid models via point-based voxelization. In: Journal of Surveying Engineering. 2013 ; Vol. 139, No. 2. pp. 72-83.
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