TY - GEN A1 - Neumann, Patrick P. A1 - Bartholmai, Matthias A1 - Wiggerich, B. T1 - Mikrodrohne zur Charakterisierung und selbstoptimierenden Suche von gasförmigen Gefahrstoffquellen T2 - 15. ITG/GMA-Fachtagung - Sensoren und Messsysteme 2010 CY - Nürnberg, Deutschland DA - 2010-05-18 KW - Mikrodrohne KW - Quadrokopter KW - Robotik KW - Suche und Lokalisierung von gasförmigen Gefahrstoffquellen PY - 2010 SN - 978-3-8007-3260-9 IS - Paper 136 SP - 753 EP - 757 PB - VDE-Verl. CY - Berlin; Offenbach AN - OPUS4-21327 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bartholmai, Matthias A1 - Neumann, Patrick P. T1 - Micro-Drone for Gas Measurement in Hazardous Scenarios via Remote Sensing T2 - The 6th International Conference on REMOTE SENSING (REMOTE '10) CY - Iwate, Japan DA - 2010-10-04 PY - 2010 AN - OPUS4-22415 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Bartholmai, Matthias T1 - Mikrodrohne zur Gasmessung in Gefahrenszenarien T2 - Sensor + Test 2010 CY - Nuremberg, Germany DA - 2010-05-18 PY - 2010 AN - OPUS4-22018 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Bartholmai, Matthias T1 - Micro-drone for the characterization and self-optimizing search of hazardous gaseous substance sources T2 - Artificial Olfaction Seminar CY - Örebro, Sweden DA - 2010-05-25 PY - 2010 AN - OPUS4-22019 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Bartholmai, Matthias T1 - Micro-drone for the characterization and self-optimizing search of hazardous gaseous substance sources T2 - 15.ITG-/GMA-Fachtagung "Sensoren und Messsysteme 2010" CY - Nuremberg, Germany DA - 2010-05-18 PY - 2010 AN - OPUS4-22020 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Bartholmai, Matthias T1 - Micro-Drone for the Characterization and Self-Optimizing Search of Hazardous Gaseous Substance Sources T2 - International Micro Air Vehicle Conference and Flight Competition (IMAV 2010) CY - Braunschweig, Germany DA - 2010-07-06 PY - 2010 AN - OPUS4-22043 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Wiggerich, B. A1 - Bartholmai, Matthias T1 - Micro-drone for the characterization and self-optimizing search of hazardous gaseous substance sources T2 - IMAV 2010 - International micro air vehicle conference and flight competition CY - Braunschweig, Germany DA - 2010-07-06 KW - Mikrodrohne KW - Quadrokopter KW - Robotik KW - Suche und Lokalisierung von gasförmigen Gefahrstoffquellen PY - 2010 SP - 1 EP - 5 AN - OPUS4-22051 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 - TY - CONF A1 - Neumann, Patrick P. A1 - Asadi, S. A1 - Schiller, J.H. A1 - Lilienthal, A.J. A1 - Bartholmai, Matthias T1 - An artificial potential field based sampling strategy for a gas-sensitive micro-drone N2 - This paper presents a sampling strategy for mobile gas sensors. Sampling points are selected using a modified artificial potential field (APF) approach, which balances multiple criteria to direct sensor measurements towards locations of high mean concentration, high concentration variance and areas for which the uncertainty about the gas distribution model is still large. By selecting in each step the most often suggested close-by measurement location, the proposed approach introduces a locality constraint that allows planning suitable paths for mobile gas sensors. Initial results in simulation and in real-world experiments with a gas-sensitive micro-drone demonstrate the suitability of the proposed sampling strategy for gas distribution mapping and its use for gas source localization. T2 - IEEE/RSJ International conference on intelligent robots and systems (IROS '11) / Workshop on robotics for environmental monitoring (WREM2011) CY - San Francisco, CA, USA DA - 25.09.2011 KW - Autonomous UAV KW - Chemical sensing KW - Gas distribution modelling KW - Gas source localization KW - Gas sensors KW - Mobile sensing system KW - Quadrocopter KW - Sensor planning KW - Artificial potential field PY - 2011 SP - 34 EP - 38 AN - OPUS4-24537 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Bartholmai, Matthias A1 - Neumann, Patrick P. T1 - Adaptive ortsaufgelöste Gaskonzentrationsmessung mit einer Mikrodrohne KW - Gasmessung KW - Gasemission KW - Emissionskontrolle KW - Windvektor KW - Mikrodrohne KW - Data-Mapping KW - Gas measurement KW - Gas emission KW - Emission control KW - Wind vector KW - Micro-drone KW - Data mapping PY - 2011 DO - https://doi.org/10.1524/teme.2011.0158 SN - 0340-837X SN - 0178-2312 SN - 0171-8096 VL - 78 IS - 10 SP - 470 EP - 478 PB - Oldenbourg CY - München AN - OPUS4-24652 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - 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 - JOUR A1 - Neumann, Patrick P. A1 - Asadi, S. A1 - Lilienthal, A.J. A1 - Bartholmai, Matthias A1 - Schiller, J.H. T1 - Autonomous gas-sensitive microdrone - wind vector estimation and gas distribution mapping N2 - This article presents the development and validation of an autonomous, gas sensitive microdrone that is capable of estimating the wind vector in real time using only the onboard control unit of the microdrone and performing gas distribution mapping (DM). Two different sampling approaches are suggested to address this problem. On the one hand, a predefined trajectory is used to explore the target area with the microdrone in a real-world gas DM experiment. As an alternative sampling approach, we introduce an adaptive strategy that suggests next sampling points based on an artificial potential field (APF). Initial results in real-world experiments demonstrate the capability of the proposed adaptive sampling strategy for gas DM and its use for gas source localization. KW - Anemometric sensor KW - Autonomous micro UAV KW - Chemical sensing KW - Gas distribution modelling KW - Gas source localization KW - Gas sensors KW - Mobile sensing system KW - Quadrocopter KW - Sensor planning KW - Artificial potential field PY - 2012 DO - https://doi.org/10.1109/MRA.2012.2184671 SN - 1070-9932 VL - 19 IS - 1 SP - 50 EP - 61 PB - IEEE CY - New York, NY, USA AN - OPUS4-25773 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Bartholmai, Matthias A1 - Neumann, Patrick P. A1 - Lazik, D. T1 - Multifunctional sensor for monitoring of CO2 underground storage by comprehensive and spatially resolved measuring of gas concentrations, temperature and structural changes N2 - One of the main unsolved issues of CCS is the comprehensive surveillance of CO2 storage areas with reasonable effort and costs. This study presents an approach for distributed subsurface monitoring of gas storage areas. The concept combines different measurement technologies to one multifunctional sensor: membrane based measurement technology for in situ monitoring of gases in soil and fibre optical sensing of temperature and strain (as a measure for structural change). A test field of application-relevant dimensions is built up to validate and optimize the technology. T2 - GHGT 11 - Greenhouse gas control technologies conference CY - Kyoto, Japan DA - 18.11.2012 KW - Multifunctional sensor KW - Distributed sensor KW - Monitoring of CO2 KW - Subsurface monitoring KW - Gas storage areas KW - Membrane-based gas sensing KW - Fibre optical sensing PY - 2013 UR - http://reginnovations.org/key-scientific-articles/multifunctional-sensor-monitoring-co2-underground-storage-comprehensive-spatially-resolved-measuring-gas-concentrations-temperature-structural-changes/ DO - https://doi.org/10.1016/j.egypro.2013.06.303 SN - 1876-6102 VL - 37 SP - 4033 EP - 4040 PB - Elsevier CY - Amsterdam AN - OPUS4-28910 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Neumann, Patrick P. A1 - Asadi, S. A1 - Hernandez Bennetts, V. A1 - Lilienthal, A.J. A1 - Bartholmai, Matthias T1 - Monitoring of CCS areas using micro unmanned aerial vehicles (MUAVs) N2 - Carbon capture & storage (CCS) is one of the most promising technologies for greenhouse gas (GHG) management. However, an unsolved issue of CCS is the development of appropriate long-term monitoring systems for leak detection of the stored CO2. To complement already existing monitoring infrastructure for CO2 storage areas, and to increase the granularity of gas concentration measurements, a quickly deployable, mobile measurement device is needed. In this paper, we present an autonomous gas-sensitive micro-drone, which can be used to monitor GHG emissions, more specifically, CO2. Two different measurement strategies are proposed to address this task. First, the use of predefined sensing trajectories is evaluated for the task of gas distribution mapping using the micro-drone. Alternatively, we present an adaptive strategy, which suggests sampling points based on an artificial potential field (APF). The results of real-world experiments demonstrate the feasibility of using gas-sensitive micro-drones for GHG monitoring missions. Thus, we suggest a multi-layered surveillance system for CO2 storage areas. T2 - GHGT 11 - Greenhouse gas control technologies conference CY - Kyoto, Japan DA - 18.11.2012 KW - Gas-sensitive micro-drone KW - Gas distribution mapping KW - Sensor planning KW - Artificial potential field KW - CCS PY - 2013 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-289119 DO - https://doi.org/10.1016/j.egypro.2013.06.320 SN - 1876-6102 VL - 37 SP - 4182 EP - 4190 PB - Elsevier Ltd. CY - Amsterdam AN - OPUS4-28911 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Schnürmacher, M. A1 - Bennetts, V.H. A1 - Lilienthal, A.J. A1 - Bartholmai, Matthias A1 - Schiller, J.H. T1 - A probabilistic gas patch path prediction approach for airborne gas ource localization in non-uniform wind fields N2 - In this paper, we show that a micro unmanned aerial vehicle (UAV) equipped with commercially available gas sensors can address environmental monitoring and gas source localization (GSL) tasks. To account for the challenges of gas sensing under real-world conditions, we present a probabilistic approach for GSL that is based on a particle filter (PF). Simulation and real-world experiments demonstrate the suitability of this algorithm for micro UAV platforms. T2 - ISOEN 2013 - 15th International symposium on olfaction and electronic nose CY - Deagu, South Korea DA - 02.07.2013 KW - Autonomous micro UAV KW - Chemical and wind sensing KW - Gas source localization KW - Particle filter PY - 2013 IS - Symposia / Applications of remote and local gas sensing ... SP - 15 EP - 16 AN - OPUS4-28878 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Bartholmai, Matthias T1 - Mikrodrohne zur Gefährdungsbeurteilung im Einsatz in Gasfreisetzungsszenarien N2 - Systementwicklung und Validierung o Motivation o Stand der Technik o Realisierung o Systemkomponenten o Integration o Gastransport o Windvektorbestimmung Anwendungsbeispiele o Mikrodrohne im Einsatz o Lokalisierung von Emissionsquellen o Erstellung von Gasverteilungskarten T2 - KAT 14 - 14. Berliner Katastrophenschutzforum CY - Berlin, Germany DA - 12.09.2013 KW - Mikrodrohne KW - Gefährdungsbeurteilung KW - Gasfreisetzung PY - 2013 SP - 1 EP - 22 AN - OPUS4-29093 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bartholmai, Matthias A1 - Köppe, Enrico A1 - Neumann, Patrick P. T1 - Monitoring of hazardous scenarios using multi-sensor devices N2 - The combination of different types of sensors to multi-sensor devices offers excellent potential for monitoring applications. This should be demonstrated by means of fourdifferent examples of actual developments carried out by Federal Institute for Materials Research and Testing (BAM): monitoring and indoor localization of relief forces, a micro-drone for gas measurement in hazardous scenarios, sensor-enabled radio-frequency identification (RFID) tags for safeguard of dangerous goods, and a multifunctional sensor for spatially resolved under-surface monitoring of gas storage areas. Objective of the presented projects is to increase the personal and technical safety in hazardous scenarios. These examples should point to application specific challenges for the applied components and infrastructure, and it should emphasize the potential of multi-sensor systems. T2 - Sensordevices 2013 - The 4th International conference on sensor device technologies and applications CY - Barcelona, Spain DA - 25.08.2013 KW - Multi-sensor device KW - Hazardous scenarios KW - Data-fusion PY - 2013 SN - 978-1-61208-297-4 SP - 9 EP - 13 AN - OPUS4-29069 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Bartholmai, Matthias A1 - Neumann, Patrick P. T1 - Fliegende Aufspürer - Gasmessung und Gasquellenlokalisierung mit einer Mikrodrohne N2 - Mikrodrohnen, auch bezeichnet als unbemannte Luftfahrzeuge (engl. unmanned aerial vehicles, UAV), halten als moderne Plattform für Überwachungstechnik Einzug in diverse Anwendungsgebiete. Am weitesten verbreitet ist der Einsatz von Foto- und Videotechnik zur Beobachtung und Dokumentation unterschiedlichster Vorgänge und Situationen aus dem Luftraum. Die technische Entwicklung auf dem Gebiet der Messtechnik und Sensorik ermöglicht aber auch die Integration von Nutzlasten zur Erfassung anderer Messgrößen, wie z.B. der Messung von Gaskonzentrationen. KW - Mikrodrohne KW - Gasmessung KW - Gasquellenlokalisierung KW - Mobile Sensorik PY - 2013 SN - 2191-3803 VL - 4 SP - 30 EP - 33 PB - Succidia AG, Verl. und Kommunikation CY - Darmstadt AN - OPUS4-29070 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Neumann, Patrick P. A1 - Bennetts, V.H. A1 - Lilienthal, A.J. A1 - Bartholmai, Matthias A1 - Schiller, J.H. T1 - Gas source localization with a micro-drone using bio-inspired and particle filter-based algorithms N2 - Gas source localization (GSL) with mobile robots is a challenging task due to the unpredictable nature of gas dispersion, the limitations of the currents sensing technologies, and the mobility constraints of ground-based robots. This work proposes an integral solution for the GSL task, including source declaration. We present a novel pseudo-gradient-based plume tracking algorithm and a particle filter-based source declaration approach, and apply it on a gas-sensitive micro-drone. We compare the performance of the proposed system in simulations and real-world experiments against two commonly used tracking algorithms adapted for aerial exploration missions. KW - Autonomous micro UAV KW - Chemical and wind sensing KW - Gas source localization KW - Particle filter PY - 2013 DO - https://doi.org/10.1080/01691864.2013.779052 SN - 0169-1864 SP - 725 EP - 738 PB - VNU Sciences Pr. CY - Utrecht AN - OPUS4-28010 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -