ids
both the ground-based
tching algorithms and
‘igure 7 shows the left
> corresponding stereo
ner. À postprocessed
3d monoplotting (see
asily be derived from
and depth information
yverlaid dense depth
image)
icted 3d point clouds
s on the road surface
re extracted from the
the depth map of a
round-based raw)
pth maps of multiple
terpolated depth map
lated)
ne stereo image pair
, of 3d point clouds
irborne imagery. The
deviations and max.
' point clouds cover-
22 m? per patch. The
1d airborne 3d point
ler of 1 pixel or less,
in the airborne case.
'round- | airborne
ased
nterpol.
326 109
.008 m | 0.045 m
045 m | 0.167 m
nt point cloud data
| deviations and max
ective point cloud)
TLOOK
1e and ground-based
inantly image-based
ervices provides a
ucture management.
We showed that the automatic extraction of depth maps and
subsequent dense 3d point clouds from both types of images not
only enables simple and efficient 3d measurement tasks through
3d monoplotting. The combination of highly detailed 3d
imagery and fully textured 3d point clouds will also enable
highly interactive and rich 3d geoinformation environments.
Figure 8 shows a web-based OpenWebGlobe scene with a first
integration of perspective 3d imagery with airborne and ground-
based 3d point clouds.
Figure 8. First integration of perspective ground-based
imagery, ground-based 3d point cloud (coloured) and airborne
3d point cloud (shown in white and grey) in OpenWebGlobe.
Table 2 illustrates the complimentary character of ground-based
and airborne stereo and multiray imagery for different road
infrastructure management tasks:
ground-based airborne
stereo i
overviews — ++
road surface d +
structures
road i ++ +
road si ++ =
noise miti + *
road / embankment — +
nature / i + a
Table 2. Suitability of ground-based and airborne sterco
imagery for road infrastructure management
Ongoing and future work includes the further improvement of
the co-registration of ground-based and airborne data by means
of integrated georeferencing. Among the ongoing investigations
and developments in the OpenWebGlobe project is the
incorporation of full-resolution airborne and ground-based 3d
imagery with 3d measuring capabilities (prio 1: 3d
monoplotting; prio 2: stereoscopic integration). There are also
plans to incorporate oblique airborne imagery with the special
challenge of ensuring 3d views and accurate 3d measurement
capabilities for most imagery.
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9. ACKNOWLEDGEMENTS
Some of the presented investigations were carried out as part of
the SmartMobileMapping research project which is financially
supported by the Swiss Commission for Technology and
Innovation CTI. We would also like to thank the Swiss Federal
Roads Office (FEDRO) for supporting the ground-based mobile
image acquisition.
