Visualizing laser scanner data for bridge inspection

Date

2010-01-01

Author

Atasoy Özcan, Güzide
Zhang, Jiansong
Akinci, Burcu

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© 2010 International Association for Automation and Robotics in Construction I.A.A.R.C). All rights reserved.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.

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85071414001&origin=inward
https://hdl.handle.net/11511/92314

DOI

https://doi.org/10.22260/isarc2010/0042

Conference Name

27th International Symposium on Automation and Robotics in Construction, ISARC 2010

Collections

Department of Civil Engineering, Conference / Seminar

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Citation Formats

G. Atasoy Özcan, J. Zhang, and B. Akinci, “Visualizing laser scanner data for bridge inspection,” Bratislava, Slovakya, 2010, vol. 2010-January, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85071414001&origin=inward.