Visualizing laser scanner data for bridge inspection

Guzide Atasoy, Pingbo Tang, Jiansong Zhang, Burcu Akinci

Research output: Contribution to conferencePaperpeer-review

5 Scopus citations


Laser scanners are being used for the geometric assessment of bridges due to their ability of capturing dense point clouds about an environment very quickly. As important as the geometric data collection, is the timely and intuitive interpretation of such point cloud data (PCD) enabled through effective visualization techniques. In this study, using PCD of a highway bridge, we evaluated different 3D visualization techniques to support a variety of bridge inspection tasks. The visualized geometric items include a) points, b) lines, and c) surfaces. The visualization techniques evaluated for these items include: a) wireframes for visualizing surfaces, b) cross sections for visualizing 2D profiles, c) colours for visualizing values of interest from virtual inspection point of views (e.g., deviations), d) lighting directions for rendering 3D scenes, and e) contours for visualizing statistical data patterns. The evaluated techniques show differences in supporting the visualization of geometric data through better utilization of the raw data. This paper discusses these differences in visualizing geometric items to support a variety of inspection requirements of bridge inspectors.

Original languageEnglish (US)
Number of pages10
StatePublished - 2010
Externally publishedYes
Event27th International Symposium on Automation and Robotics in Construction, ISARC 2010 - Bratislava, Slovakia
Duration: Jun 25 2010Jun 27 2010


Conference27th International Symposium on Automation and Robotics in Construction, ISARC 2010


  • Bridge Inspection
  • Laser Scanner Data
  • Visualization Techniques

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Building and Construction


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