Sensors 2012, 12(6), 7326-7336; doi:10.3390/s120607326
Article

A Vision-Based Dynamic Rotational Angle Measurement System for Large Civil Structures

Received: 2 May 2012; in revised form: 28 May 2012 / Accepted: 28 May 2012 / Published: 30 May 2012
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: In this paper, we propose a vision-based rotational angle measurement system for large-scale civil structures. Despite the fact that during the last decade several rotation angle measurement systems were introduced, they however often required complex and expensive equipment. Therefore, alternative effective solutions with high resolution are in great demand. The proposed system consists of commercial PCs, commercial camcorders, low-cost frame grabbers, and a wireless LAN router. The calculation of rotation angle is obtained by using image processing techniques with pre-measured calibration parameters. Several laboratory tests were conducted to verify the performance of the proposed system. Compared with the commercial rotation angle measurement, the results of the system showed very good agreement with an error of less than 1.0% in all test cases. Furthermore, several tests were conducted on the five-story modal testing tower with a hybrid mass damper to experimentally verify the feasibility of the proposed system.
Keywords: rotation angle; vision-based system; displacement measurement; flexible structures
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MDPI and ACS Style

Lee, J.-J.; Ho, H.-N.; Lee, J.-H. A Vision-Based Dynamic Rotational Angle Measurement System for Large Civil Structures. Sensors 2012, 12, 7326-7336.

AMA Style

Lee J-J, Ho H-N, Lee J-H. A Vision-Based Dynamic Rotational Angle Measurement System for Large Civil Structures. Sensors. 2012; 12(6):7326-7336.

Chicago/Turabian Style

Lee, Jong-Jae; Ho, Hoai-Nam; Lee, Jong-Han. 2012. "A Vision-Based Dynamic Rotational Angle Measurement System for Large Civil Structures." Sensors 12, no. 6: 7326-7336.

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