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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

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Loutfi, AmyCoradeschi, SilviaLilienthal, Achim J.

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