Development and field testing of a vision based displacement system using a low cost wireless action camera

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    This paper describes development of a contactless, low cost vision-based system for displacement measurement of civil structures. Displacement measurements provide a valuable insight into the structural condition and service behaviour of bridges under live loading. Conventional displacement gauges or GPS based systems have limitations in terms of access to the infrastructure and accuracy. The system introduced in this paper provides a low cost durable alternative which is rapidly deployable in the field and does not require direct contact or access to the infrastructure or its vicinity. A commercial action camera was modified to facilitate the use of a telescopic lens and paired with the development of robust displacement identification algorithms based on pattern matching. Performance was evaluated first in a series of controlled laboratory tests and validated against displacement measurements obtained using a fibre optic displacement gauge. The efficiency of the system for field applications was then demonstrated by capturing the validated bridge response of two structures under live loading including the iconic peace bridge. Located in the City of Derry, Northern Ireland, the Peace Bridge is a 310 m curved self-anchored suspension pedestrian bridge structure. The vision-based results of the field experiment were confirmed against displacements calculated from measured accelerations during a dynamic assessment of the structure under crowd loading. In field applications the developed system can achieve a root mean square error (RMSE) of 0.03 mm against verified measurements.

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    • Development and field testing of a vision-based displacement system using a low cost wireless action camera

      Rights statement: © 2018 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/,which permits distribution and reproduction for noncommercial purposes, provided the author and source are cited

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      Embargo ends: 23/11/2019

    DOI

    Original languageEnglish
    Number of pages16
    Pages (from-to)343-358
    JournalMechanical Systems and Signal Processing
    Journal publication date15 Apr 2019
    Volume121
    Early online date23 Nov 2018
    DOIs
    Publication statusPublished - 15 Apr 2019

    ID: 160437594