Smart Structures and Systems

  • 제27권3호
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  • Pages.537-546
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  • 2021
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Computer vision-based displacement measurement with m-sequence target

  • Hu, Yi-ding (Faculty of Intelligent Manufacturing, Wuyi University) ;
  • Xia, Qi (School of Civil Engineering, Southeast University) ;
  • Hou, Rong-rong (Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University) ;
  • Xia, Yong (Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University) ;
  • Yan, Jian-yi (Faculty of Intelligent Manufacturing, Wuyi University)
  • 투고 : 2020.01.09
  • 심사 : 2021.01.05
  • 발행 : 2021.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

The development of image sensors enables the application of vision-based techniques to the non-contact displacement measurement of large-scale structures. The features of the physical targets are critical to the accuracy, stability and anti-interference of the displacement measurement results. In this study, a novel m-sequence target and the associated circular correlation processing technique are developed for real-time displacement measurement. The properties of the m-sequence as a pseudo-random sequence are introduced. The vision-based displacement calculation method is then derived from the correlation property of the m-sequence. The algorithms and measurement systems are integrated in the LabVIEW environment. To verify the anti-interference performance of the developed system, static and dynamic experimental tests are carried out with various forms of interference, such as partial occlusion, uneven illumination, out of focus and smoke effect. Experimental results indicate that the developed system cannot only accurately measure structural displacement, but also has outstanding anti-interference performance, even if 30% of the target is masked.

키워드

과제정보

This research was supported by Guangdong Basic and Applied Basic Research Foundation, China (Project No. 2018A030313314); the Wuyi University Fund for Joint Research with Hong Kong and Macao (Project No. 2019WGALH18); the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. PolyU 152621/16E) and NSFC Joint Research Fund for Overseas and Hong Kong and Macao Scholars (Project No. 51629801).

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