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Carnegie Mellon Robotics Institute

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Abstract

In this paper, we summarize recent research results from a new technique of sensor calibration called Shape from Motion Calibration. We first present the basic technique, which is an eigenspace analysis, and show that it includes the rigor of least squares without the full burden of measuring all the applied inputs. Next we present new research that removes another constraint of the calibration technique and extends the robustness to cover systems with slight nonlinearities.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Number of pages: 6

Text Reference

Richard Voyles and Pradeep Khosla, "Collaborative Calibration: Extending Shape from Motion Calibration," IEEE International Conference on Robotics and Automation, April, 1997, pp. 2795 - 2800.

BibTeX Reference

@inproceedings{Voyles_1997_1003,
   author = "Richard Voyles and Pradeep Khosla",
   title = "Collaborative Calibration: Extending Shape from Motion Calibration",
   booktitle = "IEEE International Conference on Robotics and Automation",
   pages = "2795 - 2800",
   month = "April",
   year = "1997",
   volume = "4",
}

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