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Statistical evaluation of the kernel DM+V/W algorithm for building gas distribution maps in uncontrolled environments
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: Proceedings of Eurosensors XXIII conference / [ed] Juergen Brugger, Danick Briand, Elsevier, 2009, Vol. 1, p. 481-484Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we present a statistical evaluation of the Kernel DM+V/W algorithm to build two-dimensional gas distribution maps with a mobile robot. In addition to gas sensor measurements from an "e-nose" the Kernel DM+V/W algorithm also takes into account wind information received from an ultrasonic anemometer. We evaluate the method based on real measurements in three uncontrolled environments with very different properties. As a measure for the model quality we compute how well unseen measurements are predicted in terms of the data likelihood. A paired Wilcoxon signed rank test shows a significant improvement (at a confidence level of 95%) of the model quality when using wind information.

Place, publisher, year, edition, pages
Elsevier, 2009. Vol. 1, p. 481-484
Series
Procedia Chemistry, ISSN 1876-6196 ; 1
Keyword [en]
gas distribution; e-nose; gas sensing; mobile robots; kernel density estimation; model evaluation
National Category
Engineering and Technology Computer Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-8439DOI: 10.1016/j.proche.2009.07.120ISI: 000275995600256Scopus ID: 2-s2.0-71649108815OAI: oai:DiVA.org:oru-8439DiVA, id: diva2:274869
Conference
Eurosensors 23rd Conference; Lausanne; Switzerland; 6 September 2009 through 9 September 2009
Projects
EU FP6 STREP DustbotEU FP7 STREP Diadem
Note

Ingår i: Procedia Chemistry (ISSN: 1876-6196) Volume 1, Issue 1, 2009

Available from: 2009-11-08 Created: 2009-11-02 Last updated: 2018-01-12Bibliographically approved

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Reggente, MatteoLilienthal, Achim J.

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CiteExportLink to record
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