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- W2545360866 abstract "AbstractIn this thesis, we present a fast approach to automatedgeneration of textured 3D city models with both high details atground level and complete coverage for birds-eye view.A ground-based facade model is acquired by driving a vehicleequipped with two 2D laser scanners and a digital camera undernormal traffic conditions on public roads. One scanner ismounted horizontally and is used to determine the approximatecomponent of relative motion along the movement of theacquisition vehicle via scan matching; the obtained relativemotion estimates are concatenated to form an initial path.Assuming that features such as buildings are visible from bothground-based and airborne view, this initial path is globallycorrected by Monte-Carlo Localization techniques using an aerialphotograph or a Digital Surface Model as a global map. Thesecond scanner is mounted vertically and is used to capture the3D shape of the building facades. Applying a series of automatedprocessing steps, a texture-mapped 3D facade model isreconstructed from the vertical laser scans and the cameraimages. In order to obtain an airborne model containing the roofand terrain shape complementary to the facade model, a DigitalSurface Model is created from airborne laser scans, thentriangulated, and finally texturemapped with aerial imagery.Finally, the facade model and the airborne model are fusedto one single model usable for both walk- and fly-thrus. Thedeveloped algorithms are evaluated on a large data set acquiredin downtown Berkeley, and the results are shown and discussed." @default.
- W2545360866 created "2016-11-04" @default.
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- W2545360866 date "2003-01-01" @default.
- W2545360866 modified "2023-09-23" @default.
- W2545360866 title "Automated 3D model generation for urban environments [online]" @default.
- W2545360866 doi "https://doi.org/10.5445/ir/3282003" @default.
- W2545360866 hasPublicationYear "2003" @default.
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