Abstract
Vision-based systems are promising tools for displacement measurement in civil structures, possessing advantages over traditional displacement sensors in instrumentation cost, installation efforts and measurement capacity in terms of frequency range and spatial resolution. Approximately one hundred papers to date have appeared on this subject, investigating topics like system development and improvement, the viability on field applications and the potential for structural condition assessment. The main contribution of this paper is to present a literature review of vision-based displacement measurement, from the perspectives of methodologies and applications. Video-processing procedures in this paper are summarised as a three-component framework: camera calibration, target tracking and structural displacement calculation. Methods for each component are presented in principle, with discussions about the relative advantages and limitations. Applications in the two most active fields, bridge deformation and cable vibration measurement, are examined followed by a summary of field challenges observed in monitoring tests. Important gaps requiring further investigation are presented, e.g. robust tracking methods, non-contact sensing and measurement accuracy evaluation in field conditions.
Highlights
Structural health monitoring (SHM) is aimed at providing valuable information for structural assessment and decision support for maintenance through relevant measures of structural response
In particular serviceability is reflected through deformation during normal operation, since extreme values and ranges indicate problems that may limit operational use, while time-varying deformation patterns constructed from discrete displacement measurements can provide a wealth of information about structure condition
This paper aims to present a summary of key work in the field of vision-based systems for structural displacement monitoring while highlighting the principles, advantages and shortcomings of these systems
Summary
Structural health monitoring (SHM) is aimed at providing valuable information for structural assessment and decision support for maintenance through relevant measures of structural response. This paper aims to present a summary of key work in the field of vision-based systems for structural displacement monitoring while highlighting the principles, advantages and shortcomings of these systems. Previous reviews of vision-based structural monitoring exist [27,28,29], the contribution of this work is to provide an overview of system classifications, methodologies and applications in field monitoring. 3, vision-based systems are categorised based on methods of video processing, with three components in video-processing procedures (i.e. camera calibration, target tracking and structural displacement calculation) reviewed in terms of principle, applications, advantages and shortcomings, respectively. Important gaps requiring further investigation are presented, e.g. robust tracking methods, non-contact sensing and measurement accuracy evaluation in field conditions
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