The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B5. Beijing 2008
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Most part of the track has been surveyed in both ways of traffic
direction. Therefore an “internal” quality check consists in the
coordinates comparison taken in the two directions. This
operation permits to evaluate the effects of GPS/IMU bias in
coordinates determination due to different boundary conditions
such as geometry constellation and typology of the track. This
kind of control is a standard quality control and permits to point
out where the trajectory is out of tolerance or where there could
be an error in position and orientation determination. About 50
control points have been measured, in both way, and the graph
in Figure 8. shows the result, ordered in N, E and h.
-0,20 -0,15 -0,10 -0,05 0,00 0,05 0,10 0,15 0,20
(m)
Figure 8. Comparison of 50 control points surveyed on forward
and backward trajectories (internal comparison)
Like mentioned before, most part of the track has been
surveyed in both way of traffic direction, therefore an “internal”
quality check consist in the coordinates comparison taken in the
two directions. This operation permit to evaluate the effects of
GPS/INS bias in coordinates determination due to different
boundary conditions such as geometry constellation and
typology of the track. This kind of control is a standard quality
control and permits to point out where the trajectory is out of
tolerance or where there could be an error in position and
orientation determination. About 50 control point have been
measured, in both way, and the graph in Figure 8. shows the
result, ordered in N, E and h.
As the figure 8 shows the obtained results are really good; the
discrepancies between the forward and backward determination
are quite the same, both in planimetry and in height. The
repeatability is contained within 20 centimeters for the greatest
part of the coordinates.
3.3 Comparison between MMS and RTK
After checking the internal accuracy it is possible to evaluate
the so called “external” comparison. This phase consists in the
comparison between points surveyed both by Road-scanner and
using another approach generally more accurate such as classic
survey or GPS/RTK survey. This methodology was used to
survey some points identified on the images. For this
comparison 62 points located in four different areas have been
used.
Zone
Component
Min
Max
Mean
RMS
1
DN
-0,09
-0,39
-0,15
0,09
DE
0,01
0,10
0,01
0,09
Dh
0,54
0,64
0,59
0,03
2
DN
0,00
0,40
0,09
0,17
DE
0,00
0,21
0,04
0,07
Dh
0,10
-0,06
-0,01
0,03
3
DN
0,00
0,04
0,00
0,02
DE
0,00
0,23
0,00
0,12
Dh
0,12
0,44
0,05
0,05
4
DN
0,01
-0,32
-0,02
0,12
DE
0,01
-0,26
-0,02
0,14
Dh
0,02
-0,12
-0,03
0,06
Table 3. Results of comparison between Photogrammetric
determination and RTK for Control points (External
Comparison)
The Table 3. shows, for each zone, the statistical parameters for
the control points. The best results can be found in the zone n°3
where the max value, for the difference with RTK, for N, E and
h is respectively 4 cm, 23 cm and 40 cm, but the mean value of
the differences are, for the same components, 0 cm, 0 cm and 5
cm. The accuracy in the height component is comparable with
the planimetric one, but in zone 1 a shift of about 60 cm has
been detected, associated to a small value of r.m.s.
The interpretations of these results are in progress but
apparently no different boundary conditions are evident for the
different areas
4. OPEN ISSUES; LEAST SQUARE ADJUSTMENT
APPROACH USING A POSTERIORI SURVEY.
Considering the obtained results, some issues are still open.
The GPS/RTK survey in this work has been used to check the
quality of the obtained product and to guarantee to the
purchaser the quality of the performed work.
The performed comparison constitutes an indicator that the final
product is good at decimetre level.
Furthermore this result was checked and reached in areas where
GPS, both in RTK survey and in MMS system, fixes ambiguity.
It is necessary to stress as in some areas along the track the sky
visibility is strongly reduced due to the presence of close and
high buildings (such as the historical city centre) and in these
area the number of common satellites can decrease dramatically.
In figure 9 the number of common satellite tracked by the MMS
along the track during the survey is represented. In the figure
the red points represent the areas where the number of satellites
is lower than 4, the yellow ones represent the areas where the
satellite’s number a good condition correspondent to a satellite
number bigger than 5. From these picture we can deduce that in
the red areas the navigation was charged completely to the IMU
sensor, that, as well known, is affected by drift (mostly time
dependent). The drift decreases the precision of positioning and
attitude along the track and can be very significant when the
window time is consistent.