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Color and Depth Data Fusion for Dynamic Displacement-Field Measurement

There are numerous applications in the field of structural dynamics that require the accurate measurement of evolving deformation fields. While there are several sensors for direct displacement measurements at a specific point in a uniaxial direction or multi-component deformations, there are only very limited, and relatively quite expensive, methodologies for obtaining the three-dimensional components of a displacement of a dynamically evolving (i.e., not pseudo-statically) deformation field. This study reports the results of a comprehensive experimental study to assess the accuracy and performance of a class of inexpensive vision-based sensors (i.e., RGB-D sensors) to acquire dynamic measurements of the displacement field of a test structure. It is shown that the class of sensors under discussion, when operated under the performance envelope discussed in this paper, can provide, with acceptable accuracy, a very convenient and simple means of quantifying three-dimensional displacement fields that are dynamically changing at relatively low-frequency rates typically encountered in the structural dynamics field.

Related Publication

Yulu Luke Chen, Mohamed Abdelbarr, Mohammad R. Jahanshahi and Sami F. Masri, (2017), "Color and depth data fusion using an RGB-D sensor for inexpensive and contactless dynamic displacement-field measurement," Structural Control and Health Monitoring, in press, DOI: 10.1002/stc.2000.