TY - CONF A1 - Neumann, Patrick P. A1 - Bennetts, V.H. A1 - Bartholmai, Matthias T1 - Adaptive gas source localization strategies and gas distribution mapping using a gas-sensitive micro-drone N2 - In this paper we exemplify how to address environmental monitoring tasks with a gas-sensitive micro-drone and present two different approaches to locate gas emission sources. First, we sent the micro-drone in real-world experiments along predefined sweeping trajectories to model the gas distribution. The identification of the gas source location is made afterwards based on the created model. Second, we adapted two bio-inspired plume tracking algorithms that have been implemented so far on ground-based mobile robots. We developed a third bio-inspired algorithm, which is called “pseudo gradient-based algorithm”, and compared its perfomance in real-world experiments with the other two algorithms. Keywords: Anemotaxis, chemotaxis, micro UAV, bio-inspired, chemical sensing, gas distribution modeling, gas source localization, gas sensors, mobile sensing system, odor localization, olfaction, plume tracking, quadrocopter. T2 - 16. GMA/ITG-Fachtagung 'Sensoren und Messsysteme' CY - Nürnberg, Germany DA - 22.05.2012 KW - Anemotaxis KW - Chemotaxis KW - Micro UAV KW - Bio-inspired KW - Chemical sensing KW - Gas distribution modeling KW - Gas source localization KW - Gas sensors KW - Mobile sensing system KW - Odor localization KW - Olfaction KW - Plume tracking KW - Quadrocopter PY - 2012 SN - 978-3-9813484-0-8 DO - https://doi.org/10.5162/sensoren2012/P5.4 SP - 800 EP - 809 CY - Wunstorf AN - OPUS4-26004 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Paul, Niels A1 - Hüllmann, Dino A1 - Kohlhoff, Harald A1 - Neumann, Patrick P. ED - Cosmi, F. T1 - A concept for an aerial-based landfill monitoring system N2 - Aerial based robots constitute a safe and suitable approach to remote gas-sensing. This paper describes a new concept , incorporating existing UAVs and newly developed gas sensors. The presented autonomous system is able to perform gas source localization and gas distribution mapping. T2 - 34th Danubia-Adria Symposium on Advances in Experimental Mechanics CY - Trieste, Italy DA - 19.09.2017 KW - Gassensor KW - Multicopter KW - UAV KW - Olfaction PY - 2017 SN - 978-88-8303-863-1 SP - 179 EP - 181 PB - University of Trieste, Italy CY - Trieste, Italy AN - OPUS4-42122 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Paul, Niels T1 - Concept for an aerial-based landfill monitoring system N2 - Aerial based robots constitute a safe and suitable approach to remote gas-sensing. This paper describes a new concept , incorporating existing UAVs and newly developed gas sensors. The presented autonomous system is able to perform gas source localization and gas distribution mapping. T2 - 34th Danubia-Adria Symposium on Advances in Experimental Mechanics CY - Trieste, Italy DA - 19.09.2017 KW - Gassensing KW - Multicopter KW - UAV KW - Olfaction PY - 2017 AN - OPUS4-42128 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Hüllmann, Dino T1 - Aerial Robot Olfaction - Mobile Gas Sensors N2 - An introduction to BAM, gas source localisation and gas distribution mapping is given. Both an example for in-situ and open-path gas sensors is shown. The flight platforms used at BAM are introduced. T2 - Workshop "Drohnen in der Wissenschaft" CY - Potsdam, Germany DA - 30.06.2017 KW - Gassensor KW - Olfaction KW - Multicopter PY - 2017 AN - OPUS4-40858 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -