Localization and 3D reconstruction of urban scenes using GPS

Autor:	M. Kapade, Thad Starner, Jay W. Summet, Daniel Ashbrook, Kihwan Kim, Irfan Essa
Rok vydání:	2008
Předmět:	Reduction (complexity) Geographic information system Signal-to-noise ratio business.industry Computer science 3D reconstruction Global Positioning System Computer vision Iterative reconstruction Artificial intelligence Urban landscape business
Zdroj:	ISWC
DOI:	10.1109/iswc.2008.4911576
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7adb10ab2113a4af5d64cf3c896aec80 https://doi.org/10.1109/iswc.2008.4911576 Zobrazit plný text záznamu