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http://dx.doi.org/10.12989/sss.2019.24.5.587

Flexible camera series network for deformation measurement of large scale structures  

Yu, Qifeng (College of Aerospace Science and Engineering, National University of Defense Technology)
Guan, Banglei (College of Aerospace Science and Engineering, National University of Defense Technology)
Shang, Yang (College of Aerospace Science and Engineering, National University of Defense Technology)
Liu, Xiaolin (Hunan Key Laboratory of Videometrics and Vision Navigation)
Li, Zhang (College of Aerospace Science and Engineering, National University of Defense Technology)
Publication Information
Smart Structures and Systems / v.24, no.5, 2019 , pp. 587-595 More about this Journal
Abstract
Deformation measurement of large scale structures, such as the ground beds of high-rise buildings, tunnels, bridge, and railways, are important for insuring service quality and safety. The pose-relay videometrics method and displacement-relay videometrics method have already presented to measure the pose of non-intervisible objects and vertical subsidence of unstable areas, respectively. Both methods combine the cameras and cooperative markers to form the camera series networks. Based on these two networks, we propose two novel videometrics methods with closed-loop camera series network for deformation measurement of large scale structures. The closed-loop camera series network offers "closed-loop constraints" for the camera series network: the deformation of the reference points observed by different measurement stations is identical. The closed-loop constraints improve the measurement accuracy using camera series network. Furthermore, multiple closed-loops and the flexible combination of camera series network are introduced to facilitate more complex deformation measurement tasks. Simulated results show that the closed-loop constraints can enhance the measurement accuracy of camera series network effectively.
Keywords
videometrics; deformation measurement; large scale structure; closed-loop; camera series network;
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Times Cited By KSCI : 4  (Citation Analysis)
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