MOBILE MODELLING FOR CROWDSOURCING BUILDING INTERIOR DATA
Indoor spatial data forms an important foundation to many ubiquitous computing applications. It gives context to users operating location-based applications, provides an important source of documentation of buildings and can be of value to computer systems where an understanding of environment is re...
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Copernicus Publications
2012-06-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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doaj-f2e6f02f402846928b58cea204ade2222020-11-24T23:58:47ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-06-01XXXVIII-4/C26293210.5194/isprsarchives-XXXVIII-4-C26-29-2012MOBILE MODELLING FOR CROWDSOURCING BUILDING INTERIOR DATAJ. Rosser0J. Morley1M. Jackson2Nottingham Geospatial Institute, Triumph Road, University of Nottingham, Nottingham, UK. NG14 5BQNottingham Geospatial Institute, Triumph Road, University of Nottingham, Nottingham, UK. NG14 5BQNottingham Geospatial Institute, Triumph Road, University of Nottingham, Nottingham, UK. NG14 5BQIndoor spatial data forms an important foundation to many ubiquitous computing applications. It gives context to users operating location-based applications, provides an important source of documentation of buildings and can be of value to computer systems where an understanding of environment is required. Unlike external geographic spaces, no centralised body or agency is charged with collecting or maintaining such information. Widespread deployment of mobile devices provides a potential tool that would allow rapid model capture and update by a building's users. Here we introduce some of the issues involved in volunteering building interior data and outline a simple mobile tool for capture of indoor models. The nature of indoor data is inherently private; however in-depth analysis of this issue and legal considerations are not discussed in detail here.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-4-C26/29/2012/isprsarchives-XXXVIII-4-C26-29-2012.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
J. Rosser J. Morley M. Jackson |
spellingShingle |
J. Rosser J. Morley M. Jackson MOBILE MODELLING FOR CROWDSOURCING BUILDING INTERIOR DATA The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
J. Rosser J. Morley M. Jackson |
author_sort |
J. Rosser |
title |
MOBILE MODELLING FOR CROWDSOURCING BUILDING INTERIOR DATA |
title_short |
MOBILE MODELLING FOR CROWDSOURCING BUILDING INTERIOR DATA |
title_full |
MOBILE MODELLING FOR CROWDSOURCING BUILDING INTERIOR DATA |
title_fullStr |
MOBILE MODELLING FOR CROWDSOURCING BUILDING INTERIOR DATA |
title_full_unstemmed |
MOBILE MODELLING FOR CROWDSOURCING BUILDING INTERIOR DATA |
title_sort |
mobile modelling for crowdsourcing building interior data |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2012-06-01 |
description |
Indoor spatial data forms an important foundation to many ubiquitous computing applications. It gives context to users operating
location-based applications, provides an important source of documentation of buildings and can be of value to computer systems
where an understanding of environment is required. Unlike external geographic spaces, no centralised body or agency is charged
with collecting or maintaining such information. Widespread deployment of mobile devices provides a potential tool that would
allow rapid model capture and update by a building's users. Here we introduce some of the issues involved in volunteering building
interior data and outline a simple mobile tool for capture of indoor models. The nature of indoor data is inherently private; however
in-depth analysis of this issue and legal considerations are not discussed in detail here. |
url |
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-4-C26/29/2012/isprsarchives-XXXVIII-4-C26-29-2012.pdf |
work_keys_str_mv |
AT jrosser mobilemodellingforcrowdsourcingbuildinginteriordata AT jmorley mobilemodellingforcrowdsourcingbuildinginteriordata AT mjackson mobilemodellingforcrowdsourcingbuildinginteriordata |
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1725449829129125888 |