Localization and 3D reconstruction of urban scenes using GPS

Authors:
Kihwan Kim;Jay Summet;Thad Starner;Daniel Ashbrook;Mrunal Kapade;Irfan Essa
Affiliations:
College of Computing, Georgia Institute of Technology, USA;College of Computing, Georgia Institute of Technology, USA;College of Computing, Georgia Institute of Technology, USA;College of Computing, Georgia Institute of Technology, USA;College of Computing, Georgia Institute of Technology, USA;College of Computing, Georgia Institute of Technology, USA
Venue:
ISWC '08 Proceedings of the 2008 12th IEEE International Symposium on Wearable Computers
Year:
2008

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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.