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Qualitative Spatial Scene Modeling for Ambient Intelligence Environments
SFB/TR 8 Spatial Cognition, Universität Bremen, Bremen, Germany.
SFB/TR 8 Spatial Cognition, Universität Bremen, Bremen, Germany. (AASS)ORCID iD: 0000-0002-6290-5492
2008 (English)In: Intelligent Robotics and Applications: First International Conference, ICIRA 2008, Wuhan, China, October 15-17, 2008, Proceedings, Part I, Springer , 2008, Vol. 5314, p. 716-725Conference paper, Published paper (Refereed)
Abstract [en]

In ambient intelligence systems, it is necessary to represent and reason about dynamic spatial scenes and configurations. Primarily; the ability to perform predictive and explanatory analyses on the basis of available sensory data is crucial toward serving a useful intelligent function within such environments. In this paper; we present a qualitative model for representing the relevant aspects of these environments in an adequate manner. The model is suited for reasoning about spatial configurations and dynamics in spatial environments. We clarify and elaborate on our ideas with examples grounded in a smart home environment.

Place, publisher, year, edition, pages
Springer , 2008. Vol. 5314, p. 716-725
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 5314
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-64272DOI: 10.1007/978-3-540-88513-9_77ISI: 000261049200077Scopus ID: 2-s2.0-56749122337ISBN: 978-3-540-88512-2 (print)ISBN: 978-3-540-88513-9 (electronic)OAI: oai:DiVA.org:oru-64272DiVA, id: diva2:1174448
Conference
First International Conference (ICIRA 2008), Wuhan, China, October 15-17, 2008
Available from: 2018-01-15 Created: 2018-01-15 Last updated: 2018-01-22Bibliographically approved

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Bhatt, Mehul

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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