CNCS Center for Nonlinear and Complex Systems
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Publications [#330064] of Silvia Ferrari

Papers Published

  1. Gemerek, JR; Ferrari, S; Albertson, JD, Fugitive gas emission rate estimation using multiple heterogeneous mobile sensors, Isoen 2017 Isocs/Ieee International Symposium on Olfaction and Electronic Nose, Proceedings (July, 2017), IEEE, ISBN 9781509023912 [doi]
    (last updated on 2021/09/05)

    Abstract:
    This paper presents an approach for autonomous and reliable localization of fugitive methane emissions and quantification of source emission rates over large regions of interest. Previous methods have used single mobile unmanned ground vehicle (UGV) leak localization, but as a result cannot disambiguate multiple sources when plumes overlap. The novel method presented in this paper implements a mobile heterogeneous sensor network comprised of aerial-and ground-based platforms equipped with on-board concentration sensors. The UGVs use a recursive Bayesian method to probabilistically determine all source rates in a region of interest (RoI). Using a flux estimation method for path integrated concentration measurements surrounding a point source, unmanned aerial vehicles (UAVs) are shown to reliably estimate source emission rates. By communicating information about concentration measurements to the UAVs, the UGVs are shown able to collaboratively plan efficient measurement paths resulting in accurate disambiguation and estimation of all source emission rates in the RoI.