This data is mainly used for the calibration of the long-stroke Cartesian robot.  The position data is measured by Leica Laser Tracker, including the data of the identification of kinematics parameters,  the data of the Gaussian process regression model validation and prediction, and the data that the compensation results based on HTM, HTM+SBD, HTM+GPR, HTM+SBD+GPR model in different position points.

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The data are used to identify the  kinematic parameters deviation of Cartesian robot, train Gaussian Process Regression (GPR) model, record the compensation result of four calibration methods under different loading conditions.

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Calibration datasets used in the article Standard Plenoptic Cameras Mapping to Camera Arrays and Calibration based on DLT. These datasets were acquired with a Lytro Illum camera using two calibration grids with different sizes: 8 × 6 grid of 211 × 159 mm (Big Pattern) with approximately 26.5 mm cells, and 20×20 grid of 121.5 × 122 mm (Small Pattern) with approximately 6.1 mm cells. Each dataset acquired is composed of 66 fully observable poses of the calibration pattern.

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