A Realistic Remote Gas Sensor Model for Three-Dimensional Olfaction Simulations

Dino Hullmann, Patrick P. Neumann, Javier Monroy, Achim J. Lilienthal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Remote gas sensors like those based on the Tunable Diode Laser Absorption Spectroscopy (TDLAS) enable mobile robots to scan huge areas for gas concentrations in reasonable time and are therefore well suited for tasks such as gas emission surveillance and environmental monitoring. A further advantage of remote sensors is that the gas distribution is not disturbed by the sensing platform itself if the measurements are carried out from a sufficient distance, which is particularly interesting when a rotary-wing platform is used. Since there is no possibility to obtain ground truth measurements of gas distributions, simulations are used to develop and evaluate suitable olfaction algorithms. For this purpose several models of in-situ gas sensors have been developed, but models of remote gas sensors are missing. In this paper we present two novel 3D ray-Tracer-based TDLAS sensor models. While the first model simplifies the laser beam as a line, the second model takes the conical shape of the beam into account. Using a simulated gas plume, we compare the line model with the cone model in terms of accuracy and computational cost and show that the results generated by the cone model can differ significantly from those of the line model.

Original languageEnglish
Title of host publicationISOEN 2019 - 18th International Symposium on Olfaction and Electronic Nose, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538683279
DOIs
StatePublished - May 2019
Externally publishedYes
Event18th International Symposium on Olfaction and Electronic Nose, ISOEN 2019 - Fukuoka, Japan
Duration: 26 May 201929 May 2019

Publication series

NameISOEN 2019 - 18th International Symposium on Olfaction and Electronic Nose, Proceedings

Conference

Conference18th International Symposium on Olfaction and Electronic Nose, ISOEN 2019
Country/TerritoryJapan
CityFukuoka
Period26/05/1929/05/19

Keywords

  • TDLAS
  • gas simulation
  • remote gas sensor

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