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Anchoring symbols to vision data by fuzzy logic
Örebro University, Department of Technology. (Mobile Robotics Lab)
Örebro University, Department of Technology. (Mobile Robotics Lab)ORCID iD: 0000-0001-8229-1363
1999 (English)In: Symbolic and quantitative approaches to reasoning and uncertainty: European conference, ECSQARU '99 : proceedings / [ed] Anthony Hunter, Simon Parsons, Berlin/Heidelberg: Springer Berlin/Heidelberg, 1999, p. 104-115Conference paper, Published paper (Refereed)
Abstract [en]

Intelligent agents embedded in physical environments need the ability to connect, or anchor, the symbols used to perform abstract reasoning to the physical entities which these symbols refer to. Anchoring must rely on perceptual data which is inherently affected by uncertainty. We propose an anchoring technique based on the use of fuzzy sets to represent uncertainty, and of degree of subset-hood to compute the partial match between signatures of objects. We show examples where we use this technique to allow a deliberative system to reason about the objects (cars) observed by a vision system embarked in an unmanned helicopter, in the framework of the WITAS project.

Place, publisher, year, edition, pages
Berlin/Heidelberg: Springer Berlin/Heidelberg, 1999. p. 104-115
Series
Lecture notes in artificial intelligence ; 1638
National Category
Computer Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-3954DOI: 10.1007/3-540-48747-6_10ISBN: 3-540-66131-X (print)OAI: oai:DiVA.org:oru-3954DiVA, id: diva2:138253
Conference
Symbolic and quantitative approaches to reasoning and uncertainty, European conference, ECSQARU '99, London, UK, July 5-9 1999
Available from: 2007-08-16 Created: 2007-08-16 Last updated: 2018-01-13Bibliographically approved

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Coradeschi, SilviaSaffiotti, Alessandro

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf