Estimation of Measurement Uncertainty of kinematic TLS Observation Process by means of Monte-Carlo Methods

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Alkhatib, Hamza; Kutterer, Hansjörg: Estimation of Measurement Uncertainty of kinematic TLS Observation Process by means of Monte-Carlo Methods. In: Journal of Applied Geodesy 7 (2013), Nr. 2, S. 125-134. DOI: http://dx.doi.org/10.1515/jag-2013-0044

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Abstract: 
In many cases, the uncertainty of output quantities may be computed by assuming that the distribution represented by the result of measurement and its associated standard uncertainty is a Gaussian. This assumption may be unjustified and the uncertainty of the output quantities determined in this way may be incorrect. One tool to deal with different distribution functions of the input parameters and the resulting mixed-distribution of the output quantities is given through the Monte Carlo techniques. The resulting empirical distribution can be used to approximate the theoretical distribution of the output quantities. All required moments of different orders can then be numerically determined. To evaluate the procedure of derivation and evaluation of output parameter uncertainties outlined in this paper, a case study of kinematic terrestrial laserscanning (k-TLS) will be discussed. This study deals with two main topics: the refined simulation of different configurations by taking different input parameters with diverse probability functions for the uncertainty model into account, and the statistical analysis of the real data in order to improve the physical observation models in case of k-TLS. The solution of both problems is essential for the highly sensitive and physically meaningful application of k-TLS techniques for monitoring of, e. g., large structures such as bridges.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
Document Type: article
Publishing status: publishedVersion
Issue Date: 2013-05-18
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 569 93.43%
2 image of flag of United States United States 6 0.99%
3 image of flag of Russian Federation Russian Federation 4 0.66%
4 image of flag of China China 4 0.66%
5 image of flag of Taiwan Taiwan 2 0.33%
6 image of flag of Lithuania Lithuania 2 0.33%
7 image of flag of Italy Italy 2 0.33%
8 image of flag of United Kingdom United Kingdom 2 0.33%
9 image of flag of Austria Austria 2 0.33%
10 image of flag of Spain Spain 1 0.16%
    other countries 15 2.46%

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