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Terrestrial laser scanner geometric error model parameter correlations in the Two-face, Length-consistency, and Network methods of self-calibration
Published
Author(s)
Balasubramanian Muralikrishnan, Ling Wang, Prem K. Rachakonda, Daniel S. Sawyer
Abstract
Terrestrial laser scanners (TLS) are increasingly used in a variety of applications where accuracies on the order of few tenths of a millimeter or smaller are routinely demanded. Self-calibration is a quick and cost-effective way to improve the accuracy of a TLS without the need for calibrated artifacts or reference instruments. In a previous work [1], we outlined three approaches to self-calibration, the Network method, the Length-consistency method, and the Two-face method. In this paper, we lay out the mathematics underlying the least-squares adjustment process for the three different techniques and also address correlation between parameters calculated from the three methods. We show that the Length-consistency and Two-face methods provide lower parameter uncertainty and fewer correlations between the calculated model parameters than the Network method.
Citation
Precision Engineering-Journal of the International Societies for Precision Engineering and Nanotechnology
Muralikrishnan, B.
, Wang, L.
, Rachakonda, P.
and Sawyer, D.
(2018),
Terrestrial laser scanner geometric error model parameter correlations in the Two-face, Length-consistency, and Network methods of self-calibration, Precision Engineering-Journal of the International Societies for Precision Engineering and Nanotechnology, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=922560
(Accessed October 8, 2025)