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2008 12th IEEE International Symposium on Wearable Computers
Localization and 3D reconstruction of urban scenes using GPS
Pittaburgh, PA, USA
September 28-October 01
ISBN: 978-1-4244-2637-9
Kihwan Kim, College of Computing, Georgia Institute of Technology, USA
Jay Summet, College of Computing, Georgia Institute of Technology, USA
Thad Starner, College of Computing, Georgia Institute of Technology, USA
Daniel Ashbrook, College of Computing, Georgia Institute of Technology, USA
Mrunal Kapade, College of Computing, Georgia Institute of Technology, USA
Irfan Essa, College of Computing, Georgia Institute of Technology, USA
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.
Citation:
Kihwan Kim, Jay Summet, Thad Starner, Daniel Ashbrook, Mrunal Kapade, Irfan Essa, "Localization and 3D reconstruction of urban scenes using GPS," iswc, pp.11-14, 2008 12th IEEE International Symposium on Wearable Computers, 2008
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