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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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acquisitiondescribingFinally, thatMainly,results.applicationways. The models by linemoving base objectcompleteddifferentmathematicalaregressionposition parametersestablishesseveral dataapplied <strong>and</strong>pointsThus,aKaimancalculatingpre-processingrequiredacquired methods processingto filter.wasorientationalsoexample forced motion2TPS1201 essential.trajectoryyield<strong>of</strong> laserrunakinematicwith trolley from scanner anearly Leica were has constant Geosystemsdescribedestimated.velocity.126 6. Applications <strong>of</strong> <strong>Terrestrial</strong> <strong>Laser</strong> Scanningtrajectory is assessed by control points with coordinates derived analogous to the procedurethe use <strong>of</strong> the regression line, cf. Section 6.3.2.described for0 105£0 100 'rtf*M MfU^M^^^^^i^^^^j*J/1WW itaiArvpfip yvwilj¥ )\vy W\f y y0 09,5,„„44004450 4500 4550 4600 4650 4700 4750time tag [s]Figure 6.15: Velocity <strong>of</strong> moving trolley estimated by Kaiman filterforone data set.For example, the velocity <strong>of</strong> the test trolley <strong>of</strong> one data set estimated by the Kaiman filter is shown in Figure6.15. It can be seen that the motion <strong>of</strong> the trolleyoscillates. These oscillations are based either on the noiseproduced by the tracking total station or by the variations <strong>of</strong> the encoders controlling the velocity<strong>of</strong> thetest trolley. Considering a distance error <strong>of</strong> As 1mm by = a time interval <strong>of</strong> At 0.1s, = a variation inthe velocity<strong>of</strong> v = 0.01 results. Thus,with the distance accuracy <strong>of</strong> the total station.the oscillations <strong>of</strong> the velocity are relatively small in comparisonThe accuracy <strong>of</strong> the trajectory <strong>and</strong> the scanned point cloudis assessed by control points. The same parameters for the data sets are chosen compared to the examplewhere the regressionline was used. Table 6.3 summarizes the results <strong>and</strong> shows the 3D accuracy for thecontrol points. The accuracy is sufficiently high since the 3D accuracy is within 5 mm. Surprisingly, theaccuracy decreases with the time <strong>and</strong> therefore, with the length <strong>of</strong> the trajectory. One possibility is thatthe equidistant time tags <strong>of</strong> the total station measurements, derived for the Kaiman filter, show deviations.Another reason can be found in the Kaiman filter. The tuning <strong>of</strong> the filter, e.g. mathematical model <strong>of</strong>the system state, covariance matrices, <strong>of</strong>fers several ways <strong>of</strong> deriving the trajectory. Considering the givenaccuracy <strong>of</strong> the used total station2 in the tracking mode (5 mm + 2 ppm), the 3D accuracy, given in Table 6.3,fits the manufacturer's specification.Furthermore, the same conclusion, as for the regression line, can be drawn: neither the rotation time nor thescan resolution significantly influence the 3D accuracy. Only the treatment <strong>of</strong> the diameter <strong>of</strong> the spheresincreases the accuracy.shown in Table 6.3.Changing the velocity to v = 0.2— <strong>and</strong> v = 0.3— have similar results, which are6.3.4 ResultsKinematic laser scanning has become an alternative to static laser scanning. The advantage is a higherperformance <strong>of</strong> scanning objects characterized by a fast acquisition rate. For linear objects, e.g.roads, kinematic applications are especially superior to static applications.tunnels orThe accuracy that can be achieved is not only limited bythe laser scanner used. The

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