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Simulating a Gas Source Localization Algorithm with Gas Dispersion Produced by Recorded Outdoor Wind

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ROBOT2022: Fifth Iberian Robotics Conference (ROBOT 2022)

Abstract

This paper reports the use of the first gas dispersion simulator capable of introducing large wind fluctuations into simulations. The proposed simulator enables testing of a modification made to a gas source localization algorithm in a realistic scenario in order to study how the change affects it. Gas source localization in an outdoor environment is a challenging task mainly due to the complexity of the gas spread caused by the unpredictable nature of constantly changing wind. Therefore, a novel use of outdoor wind in developing a gas source localization system by simulation is presented in this paper. To consider the characteristic of sudden but large and unpredictable changes in wind direction, we propose to use recorded outdoor wind to simulate a realistic outdoor gas dispersion which has been done for the first time to the best of our knowledge. With the use of this simulator, we have tested a modification to a mobile robot-based gas source localization algorithm. Multiple simulations of the modified and the original particle filter-based algorithm have been done to study the effect of the tested modification. The results showed that a small difference in the algorithm can greatly impact the results. From this study, we show that the use of simulation consisting of the necessary traits to evaluate outdoor gas source localization, has the potential to accelerate the development of a reliable localization system.

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Acknowledgments

This work was supported in part by JSPS KAKENHI Grant Numbers 19H02103, 20H02145, and 22H04952.

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Correspondence to Hiroshi Ishida .

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Haratsu, T., Sakaue, M., Matsukura, H., Neumann, P.P., Ishida, H. (2023). Simulating a Gas Source Localization Algorithm with Gas Dispersion Produced by Recorded Outdoor Wind. In: Tardioli, D., Matellán, V., Heredia, G., Silva, M.F., Marques, L. (eds) ROBOT2022: Fifth Iberian Robotics Conference. ROBOT 2022. Lecture Notes in Networks and Systems, vol 590. Springer, Cham. https://doi.org/10.1007/978-3-031-21062-4_9

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  • DOI: https://doi.org/10.1007/978-3-031-21062-4_9

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