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 - GEN A1 - Neumann, Patrick P. A1 - Bartholmai, Matthias A1 - Schiller, J.H. A1 - Wiggerich, B. A1 - Manolov, Manol T1 - Micro-drone for the characterization and self-optimizing search of hazardous gaseous substance sources: A new approach to determine wind speed and direction N2 - BAM Federal Institute for Materials Research and Testing, in cooperation with the AirRobot GmbH & Co. KG company, has developed a flying remote-controlled measuring system. The system is capable of operating in a variety of scenarios of gas emissions, e.g. exhaust gas from chimneys, flue gas in a fire, gas emissions in the case of an accident of chemical or hazardous goods or in the case of a terrorist act involving toxic gases. Thus it can measure the gas concentration in the immediate vicinity of the object which causes the emission. A further stage of extension is to enhance the system for plume tracking and identification of sources of hazardous gases. T2 - ROSE 2010 - IEEE International workshop on robotic and sensors environments CY - Phoenix, Arizona, USA DA - 2010-10-15 KW - Autonomous robot KW - UAV KW - Quadrocopter KW - Mobile sensing system KW - Chemical sensing KW - Gas sensors KW - Chemical source localization KW - Plume tracking KW - Anemometric sensor KW - Wind speed and direction PY - 2010 SN - 978-1-4244-7146-1 DO - https://doi.org/10.1109/ROSE.2010.5675265 IS - Session 1 - Intelligent Sensing SP - 1 EP - 6 AN - OPUS4-22189 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Bartholmai, Matthias A1 - Neumann, Patrick P. ED - Fujita, H. ED - Sasaki, J. T1 - Micro-drone for gas measurement in hazardous scenarios via remote sensing T2 - 6th WSEAS International conference on REMOTE SENSING (REMOTE '10) CY - Iwate, Japan DA - 2010-10-04 KW - Remote sensing KW - Micro-drone KW - UAV KW - Gas measurement KW - Emission control KW - Data mapping KW - Monitoring KW - Plume tracking PY - 2010 SN - 978-960-474-233-2 SN - 1792-5088 SP - 149 EP - 152 PB - WSEAS Press AN - OPUS4-22275 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -