Title:
Localization and 3D Reconstruction of Urban Scenes Using GPS

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Kim, Kihwan
Summet, Jay
Starner, Thad
Ashbrook, Daniel
Kapade, Mrunal
Essa, Irfan
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Abstract
Using off-the-shelf Global Positioning System (GPS) units, we reconstruct buildings in 3D by exploiting the reduction in signal to noise ratio (SNR) that occurs when the buildings obstruct the line-of-sight between the moving units and the orbiting satellites. We measure the size and height of skyscrapers as well as automatically constructing a density map representing the location of multiple buildings in an urban landscape. If deployed on a large scale, via a cellular service provider’s GPS-enabled mobile phones or GPS-tracked delivery vehicles, the system could provide an inexpensive means of continuously creating and updating 3D maps of urban environments.
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Date Issued
2008
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Technical Report
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