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Calibration of a Terrestrial Laser Scanner - Institute of Geodesy and ...

Calibration of a Terrestrial Laser Scanner - Institute of Geodesy and ...

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54 3. <strong>Calibration</strong> <strong>of</strong> <strong>Terrestrial</strong> <strong>Laser</strong> <strong>Scanner</strong>by an imperfect levelling procedure, can be eliminated in two ways. First, the levellingerror results in asine curve during a full rotation about 360 °.This sine curve has to be calculated <strong>and</strong> the inclination datahave to be reduced according to this sine curve. Second, the levelling error is derived by averaging thecorresponding inclination data in the two faces. This means the data at position x <strong>and</strong> position x +180 °averaged <strong>and</strong> result in a new inclination value that represents the levelling error. The absolute lengthoriginal data is reduced byare<strong>of</strong> the180 °. Both methods yield new inclination values that should be zero via the firstmethod or a constant value, which defines the absolute levelling error, via the second method. However,if the data are different to these ideal cases, other errors in the vertical axis influencing the inclination arepresent, such as wobble <strong>of</strong> the vertical axis.Before discussing the wobble <strong>of</strong> the vertical axis with one data series as an example, a summary<strong>of</strong> severaldifferent <strong>and</strong> independent data series will be examined with respect to the repeatability <strong>of</strong> the levellingerror acquired by the inclination sensor.Therefore, the sine curve representing the levelling errors <strong>of</strong> thesetups are calculated by using the Curve Fitting Tool Box provided by Matlab®. The results <strong>of</strong> three inde¬pendent data series including three to four repeatedmeasurements within each data series are discussed.The derived levelling error is based on the mathematical model <strong>of</strong> a sine oscillation [Matthias, 1961] <strong>and</strong>can be expressed mathematically [Bronstein <strong>and</strong> Semendjajew, 1999] byf(x)=a sin(f x + ip). (3.10)Table 3.10: Results <strong>of</strong> the calculation <strong>of</strong> the levelling error based on the data <strong>of</strong> the inclination sensor in the x-direction<strong>and</strong> in the y-direction for different setups (A, B, C) <strong>and</strong> repeated data series (1, 2, 3) within each setup.Setup Data Series Amplitude a [mrad]Frequency fPhase Angle ip [°]xyxyxy10.401 0.4321.029 1.025305 218A20.414 0.4571.021 1.014312 22730.414 0.4441.012 1.014317 22910.476 0.4901.028 1.022123 37B20.469 0.4961.015 1.012137 4930.462 0.5061.010 1.007140 5310.271 0.2090.989 1.005344 256C20.282 0.2190.980 0.991349 26630.286 0.2120.978 0.990352 267Table 3.10 gives an overview <strong>of</strong> the calculated levellingthe x-direction <strong>and</strong> in the y-direction. The setups are independenterrors based on the data <strong>of</strong> the inclination sensor infrom each other <strong>and</strong> the inclination datawere acquired with different setups <strong>of</strong> the laser scanner, i.e. the laser scanner was set upwith <strong>and</strong> without atribrach on an observation pillar <strong>and</strong> a granite table. The homogeneity in the data series within each setupcan be seen <strong>and</strong> the levelling error appears to be repeatable because(1) the amplitudes a are nearly constant in the x-direction <strong>and</strong> y-direction within each setup,(2) the phase angles y are nearly constant in the x-direction <strong>and</strong> y-direction within each setup,(3) the frequency <strong>of</strong> the levelling error corresponds with each other <strong>and</strong> is nearly 1.000, which means aperiod <strong>of</strong> 2 tt, <strong>and</strong>(4) the angle differences <strong>of</strong> the phase angles y match up to 90° between the x-direction <strong>and</strong> the y-direction, according to the Cartesian coordinate system <strong>of</strong> the inclination sensor.

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