The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B5. Beijing 2008
Relative distance Standard error of the unit weight (m 0 )
in adjustment
0-4 m 1.5 mm
4-29 m 2.2 mm
Table 4. Standard errors of the unit weight mo in adjustments.
Figure 12 describes the sampling intervals used for the
calibration measurements as a function of distance. A couple of
gross errors in the sled movements were taken place during the
measurements.
Sampling intervals
Figure 12. Sampling intervals at relative distances (0-29 m).
6. CONCLUSIONS
Periodic errors found in this study can be corrected with the
error function calculated by Fourier analysis.
Single measured errors of relative distances were always
positive or close to zero and at maximum of about 10 mm (Figs.
6 and 7). We noticed that errors included a constant error and a
nonlinear error. Constant error V (see Eq. 2) with 10 cm
sampling intervals (0-4 m) was 4.6 mm and with approximately
45 cm intervals (4-29 m) 4.7 mm. According to the error
function (Figs. 8 and 9) the largest error was about 8 mm.
The wavelengths of periodic errors often correlated with the
wavelengths of the modulation frequencies of the instrument, or
their harmonics. The evaluated wavelengths of periodic errors
for relative measurements with 10 cm sampling intervals (0-4 m)
were 0.31 m, 2 m and 4 m (Table 2). For measurements with
approximately 45 cm intervals (4-29 m), the wavelengths
evaluated were 1.2 m and 25.6 m (Table 3). One reason for not
getting equal wavelengths for both relative distance areas may
occur because sampling intervals were different and
calculations were made with relatively small data. Therefore
errors, or inaccuracies in calculated wavelengths are possible.
According to Lichti and Licht (2006) wavelengths of cyclic
error terms of Faro HE scanner are 0.6 m, 4.8 m and possibly
38.4 m, which correspond to one half of the modulated
wavelengths.
Future research is needed to find out the original causes of the
observed periodic errors. Possible reasons include non-linearity
of the electrical circuit of the phase measurement system,
crosstalk phenomena inside the instrument or extra reflections
between the target and the instrument.
ACKNOWLEDGEMENTS
The research described in this paper is part of the Finnish
KITARA programme consortia project “Use of ICT 3D
measuring techniques for high quality construction”. The aim of
the programme is to strengthen basic research expertise in the
fields of mechanical, civil, and automation engineering through
the application of ICT.
Authors are grateful to D.Sc. (Tech.) Jaakko Santala for
planning the calibration method, Veli-Matti Salminen for proper
technical arrangements, Lie.Sc. (Tech.) Petteri Pontinen,
Laboratory Technician Antero Tihverainen and M.Sc. (Tech.)
Dan Haggman who helped with the measurements and Prof.
Martin Vermeer for quidance and advises regarding the applied
methodology.
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