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Automated 3D model generation for urban environments [online]

Frueh, Christian

Abstract:


Abstract

In this thesis, we present a fast approach to automated
generation of textured 3D city models with both high details at
ground level and complete coverage for bird’s-eye view.
A ground-based facade model is acquired by driving a vehicle
equipped with two 2D laser scanners and a digital camera under
normal traffic conditions on public roads. One scanner is
mounted horizontally and is used to determine the approximate
component of relative motion along the movement of the
acquisition vehicle via scan matching; the obtained relative
motion estimates are concatenated to form an initial path.
Assuming that features such as buildings are visible from both
ground-based and airborne view, this initial path is globally
corrected by Monte-Carlo Localization techniques using an aerial
photograph or a Digital Surface Model as a global map. The
second scanner is mounted vertically and is used to capture the
3D shape of the building facades. Applying a series of automated
processing steps, a texture-mapped 3D facade model is
reconstructed from the vertical laser scans and the camera
images. In order to obtain an airborne model containing the roof
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Volltext §
DOI: 10.5445/IR/3282003
Cover der Publikation
Zugehörige Institution(en) am KIT Fakultät für Elektrotechnik und Informationstechnik (ETIT)
Publikationstyp Hochschulschrift
Publikationsjahr 2003
Sprache Englisch
Identifikator urn:nbn:de:swb:90-AAA32820037
KITopen-ID: 3282003
Verlag Universität Karlsruhe (TH)
Erscheinungsvermerk Fak. f. Elektrotechnik und Informationstechnik, Diss. v. 29.10.2002.
Art der Arbeit Dissertation
Fakultät Fakultät für Elektrotechnik (Fak. für Elektrotech.)
Institut Fakultät für Elektrotechnik und Informationstechnik (ETIT)
Prüfungsdaten Diss. v. 29.10.2002
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