oru.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
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
  • rtf
Gas Distribution Mapping of Multiple Odour Sources using a Mobile Robot
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-3122-693X
Örebro University, School of Science and Technology. (AASS)
Örebro University, School of Science and Technology. (AASS Learning Systems Lab)ORCID iD: 0000-0003-0217-9326
Dept. of System Engineering and Automation, University of Malaga.
2009 (English)In: Robotica (Cambridge. Print), ISSN 0263-5747, E-ISSN 1469-8668, Vol. 27, no 2, p. 311-319Article in journal (Refereed) Published
Abstract [en]

Mobile olfactory robots can be used in a number of relevant application areas where a better understanding of agas distribution is needed, such as environmental monitoring and safety and security related fields. In this paper wepresent a method to integrate the classification of odours together with gas distribution mapping. The resulting odourmap is then correlated with the spatial information collected from a laser range scanner to form a combined map.Experiments are performed using a mobile robot in large and unmodified indoor and outdoor environments. Multipleodour sources are used and are identified using only transient information from the gas sensor response. The resultingmulti level map can be used as a intuitive representation of the collected odour data for a human user.

Place, publisher, year, edition, pages
Cambridge University Press, 2009. Vol. 27, no 2, p. 311-319
National Category
Engineering and Technology Other Computer and Information Science
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-8433DOI: 10.1017/S0263574708004694ISI: 000263800100016Scopus ID: 2-s2.0-66349102615OAI: oai:DiVA.org:oru-8433DiVA, id: diva2:274847
Available from: 2009-11-08 Created: 2009-11-02 Last updated: 2018-01-12Bibliographically approved

Open Access in DiVA

fulltext(1261 kB)1725 downloads
File information
File name FULLTEXT01.pdfFile size 1261 kBChecksum SHA-512
5b7be940f061e6cdc9a6dcc9e2fcef9dc6a7be6d792550e4de76ff06bc66e578a0ef1a00892c64000d93c460ecf794fb5f8a3a959ca237390f655c67829aa82d
Type fulltextMimetype application/pdf
fulltext(815 kB)101 downloads
File information
File name FULLTEXT02.pdfFile size 815 kBChecksum SHA-512
d89fbe48d629454a4b5fbe8cbc4e9350763b9ee6284383a4b8c7475d0bf7dc95c622148de4c5ad27dac26e479a69475352eeb28b4747eb9170d10b34247ee818
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records BETA

Loutfi, AmyCoradeschi, SilviaLilienthal, Achim J.

Search in DiVA

By author/editor
Loutfi, AmyCoradeschi, SilviaLilienthal, Achim J.
By organisation
School of Science and Technology
In the same journal
Robotica (Cambridge. Print)
Engineering and TechnologyOther Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 1826 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 550 hits
CiteExportLink to record
Permanent link

Direct link
Cite
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
  • rtf