Matteo Reggente and Achim J. Lilienthal
Three-Dimensional Statistical Gas Distribution Mapping in an Uncontrolled Indoor Environment
American Institute of Physics, Proceedings of the 13th International Symposium on Olfaction and Electronic Nose (ISOEN), 2009, pp. 109-112
Abstract: 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.
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Bibtex:
@INPROCEEDINGS{Reggente_Lilienthal:ISOEN:2009,
  author = {Reggente, Matteo and Lilienthal, Achim J.},
  title = {Three-Dimensional Statistical Gas Distribution Mapping in an Uncontrolled Indoor Environment},
  booktitle = {AIP Conference Proceedings Volume 1137: Olfaction and Electronic Nose - Proceedings of the 13th International Symposium on Olfaction and Electronic Nose (ISOEN)},
  year = {2009},
  pages = {109--112}
}