Localization and 3D reconstruction of urban scenes using GPS

Kihwan Kim; Jay Summet; Thad Starner; Daniel Ashbrook; Mrunal Kapade; Irfan Essa

doi:10.1109/ISWC.2008.4911576

2008 12th IEEE International Symposium on Wearable Computers

Localization and 3D reconstruction of urban scenes using GPS

Year: 2008, Pages: 11-14

DOI Bookmark: 10.1109/ISWC.2008.4911576

Authors

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

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.

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Localization and 3D reconstruction of urban scenes using GPS

Authors

Abstract

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