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Sameer Khan

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Proceedings Article | 27 March 2018 Presentation + Paper

A novel camera localization system for extending three-dimensional digital image correlation

Alessandro Sabato, Narasimha Reddy, Sameer Khan, Christopher Niezrecki

Proceedings Volume 10599, 105990Y (2018) https://doi.org/10.1117/12.2296809

KEYWORDS: Calibration, Cameras, Sensors, Radar, Imaging systems, Digital image correlation, Distance measurement, 3D image processing, Structural health monitoring, Photogrammetry

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The monitoring of civil, mechanical, and aerospace structures is important especially as these systems approach or surpass their design life. Often, Structural Health Monitoring (SHM) relies on sensing techniques for condition assessment. Advancements achieved in camera technology and optical sensors have made three-dimensional (3D) Digital Image Correlation (DIC) a valid technique for extracting structural deformations and geometry profiles. Prior to making stereophotogrammetry measurements, a calibration has to be performed to obtain the vision systems’ extrinsic and intrinsic parameters. It means that the position of the cameras relative to each other (i.e. separation distance, cameras angle, etc.) must be determined. Typically, cameras are placed on a rigid bar to prevent any relative motion between the cameras. This constraint limits the utility of the 3D-DIC technique, especially as it is applied to monitor large-sized structures and from various fields of view. In this preliminary study, the design of a multi-sensor system is proposed to extend 3D-DIC’s capability and allow for easier calibration and measurement. The suggested system relies on a MEMS-based Inertial Measurement Unit (IMU) and a 77 GHz radar sensor for measuring the orientation and relative distance of the stereo cameras. The feasibility of the proposed combined IMU-radar system is evaluated through laboratory tests, demonstrating its ability in determining the cameras position in space for performing accurate 3D-DIC calibration and measurements.

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