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
The 3D-kernel DM+V/W algorithm: using wind information in three dimensional gas distribution modelling with a mobile robot
Örebro University, School of Science and Technology.
Örebro University, School of Science and Technology.ORCID iD: 0000-0003-0217-9326
2010 (English)In: 2010 IEEE SENSORS, 2010, p. 999-1004Conference paper, Published paper (Other academic)
Abstract [en]

In this paper we present a statistical method to build three-dimensional gas distribution maps from gas sensor and wind measurements obtained with a mobile robot in uncontrolled environments. The particular contribution of this paper is to introduce and evaluate an algorithm for 3D statistical gas distribution mapping, that takes into account airflow information. 3D-Kernel DM+V/W algorithm uses a multivariate Gaussian weighting function to model the information provided by the gas sensors and an ultrasonic anemometer. The proposed algorithm is evaluated with respect to the ability of the obtained models to predict unseen measurements. The results based on 15 trials with a mobile robot in an indoor environment show improvements in the model performance when using the 3D kernel DM+V/W algorithm. Moreover the model is able to adapt to the dynamical changes of the environment learning the hyper-parameter from the sensors readings.

Place, publisher, year, edition, pages
2010. p. 999-1004
Series
IEEE Sensors, ISSN 1930-0395
National Category
Computer Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-19093DOI: 10.1109/ICSENS.2010.5690924ISI: 000287982100222ISBN: 978-1-4244-8168-2 (print)OAI: oai:DiVA.org:oru-19093DiVA, id: diva2:444953
Conference
2010 IEEE Sensors Conference, Kona, nov 01-04
Available from: 2011-09-30 Created: 2011-09-30 Last updated: 2018-01-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Reggente, MatteoLilienthal, Achim J.

Search in DiVA

By author/editor
Reggente, MatteoLilienthal, Achim J.
By organisation
School of Science and Technology
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 450 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