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Three-dimensional statistical gas distribution mapping in an uncontrolled indoor environment
Örebro University, School of Science and Technology. (AASS Learning Systems Lab)
Örebro University, School of Science and Technology. (AASS Learning Systems Lab)ORCID iD: 0000-0003-0217-9326
2009 (English)In: Olfaction and electronic nose / [ed] Matteo Pardo, Giorgio Sberveglieri, 2009, 109-112 p.Conference paper, (Refereed)
Abstract [en]

In this paper we present a statistical method to build three-dimensional gas distribution maps (3D-DM). The proposed mapping technique uses kernel extrapolation with a tri-variate Gaussian kernel that models the likelihood that a reading represents the concentration distribution at a distant location in the three dimensions. The method is evaluated using a mobile robot equipped with three "e-noses" mounted at different heights. Initial experiments in an uncontrolled indoor environment are presented and evaluated with respect to the ability of the 3D map, computed from the lower and upper nose, to predict the map from the middle nose.

Place, publisher, year, edition, pages
2009. 109-112 p.
Series
AIP conference proceedings, ISSN 0094-243X ; 1137
Keyword [en]
3D-gas distribution, e-nose, gas sensing, mobile robots, kernel density estimation, model evaluation
National Category
Analytical Chemistry Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering; Chemistry; Electronics
Identifiers
URN: urn:nbn:se:oru:diva-8444DOI: 10.1063/1.3156484ISI: 000268929400024Scopus ID: 2-s2.0-70450178320ISBN: 978-0-7354-0674-2 (print)OAI: oai:DiVA.org:oru-8444DiVA: diva2:274906
Conference
13th International Symposium on Olfaction and Electronic Nose (ISOEN), April 15-17, 2009, Brescia, Italy
Available from: 2009-11-08 Created: 2009-11-02 Last updated: 2017-03-15Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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