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Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/25827

Title: Localization and 3D Reconstruction of Urban Scenes Using GPS
Authors: Kim, Kihwan
Summet, Jay
Starner, Thad
Ashbrook, Daniel
Kapade, Mrunal
Essa, Irfan A.
Georgia Institute of Technology. College of Computing
Subjects : Data collection
Density map
Global Positioning System (GPS)
Signal to noise ratio (SNR)
3D reconstruction
Issue Date: 2008
Publisher: Georgia Institute of Technology
Series/Report no.: SIC Technical Reports ; GT-IC-08-06
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.
Type: Technical Report
URI: http://hdl.handle.net/1853/25827
Appears in Collections:School of Interactive Computing Technical Reports

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