TY - CONF A1 - Neumann, Patrick P. A1 - Hüllmann, Dino A1 - Winkler, Nicolas P. A1 - Schugardt, Jan T1 - Remote Drone-to-Drone Gas Sensing: A Feasibility Study N2 - Remote gas sensors mounted on mobile robots enable the mapping of gas distributions in large or poorly accessible areas. A challenging task however, is the generation of three-dimensional distribution maps from these spatially sparse gas measurements. To obtain high-quality reconstructions, the choice of optimal measuring poses is of great importance. Remote gas sensors, that are commonly used in Robot Assisted Gas Tomography (RAGT), require reflecting surfaces within the sensor’s range, limiting the possible sensing geometries, regardless of whether the robots are ground-based or airborne. By combining ground and aerial robots into a heterogeneous swarm whose agents are equipped with reflectors and remote gas sensors, remote inter-robot gas measurements become available, taking RAGT to the next dimension – releasing those constraints. In this paper, we demonstrate the feasibility of drone-to-drone measurements under realistic conditions and highlight the resulting opportunities. T2 - 19th International Symposium on Olfaction and Electronic Nose CY - Aveiro, Portugal DA - 29.05.2022 KW - Aerial robot KW - TDLAS KW - Inter-robot measurements KW - Gas tomography KW - Plume PY - 2022 AN - OPUS4-54927 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Haratsu, T. A1 - Neumann, Patrick P. A1 - Sakaue, M. A1 - Matsukura, H. A1 - Ishida, H. T1 - Simulating a Gas Source Localization Algorithm with Gas Dispersion Produced by Recorded Outdoor Wind N2 - This presentation reports the use of the first gas dispersion simulator capable of generating large wind fluctuation, to test a modification to a gas source localization algorithm and study how the change affects it. Gas source localization at an outdoor environment is a challenging task mainly due to the complexity of the spreading gas 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 will be shared. To consider the characteristic of sudden but large and unpredictable changes in wind direction, recorded outdoor wind was used to simulate a realistic outdoor gas dispersion which has been done for the first time. With the use of this simulator, a modification to a mobile robot-based gas source localization algorithm was evaluated. Multiple simulations of the modified and the original algorithm were 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 consider 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. T2 - ROBOT2022: Fifth Iberian Robotics Conference CY - Zaragoza, Spain DA - 23.11.2022 KW - Gas Dispersion Simulator KW - Gas Source Localization KW - Mobile Robot Olfaction KW - Particle Filter PY - 2022 AN - OPUS4-56413 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Hüllmann, Dino A1 - Winkler, Nicolas P. A1 - Kohlhoff, Harald A1 - Bartholmai, Matthias A1 - Hirschberger, Paul A1 - Bennetts, V. H. A1 - Lilienthal, A. J. T1 - Aerial Robot Olfaction - An Overview of Research @BAM N2 - This presentation gives an introduction to the gas-sensitive aerial robots developed at BAM, including various application examples in the field of mobile robot olfaction: gas source localization, gas distribution mapping, and trial following. T2 - The 6th Meeting of the Investigation Committee on Measurement of Odors and Applications of Their Psychological/Physiological Effects CY - Online meeting DA - 21.01.2022 KW - Mobile Robot Olfaction KW - Gas Tomography KW - Tunable Diode Laser Absorption Spectroscopy (TDLAS) KW - Gas Source Localization KW - Gas Distribution Mapping KW - Trial Following PY - 2022 AN - OPUS4-54241 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Kohlhoff, Harald A1 - Johann, Sergej A1 - Erdmann, Jessica A1 - Winkler, Nicolas P. T1 - The RASEM System: A Technical Overview N2 - Occupational health is an important topic, especially in industry, where workers are exposed to airborne by-products (e.g., dust particles and gases). Therefore, continuous monitoring of the air quality in industrial environments is crucial to meet safety standards. For practical and economic reasons, high-quality, costly measurements are currently only carried out sparsely, both in time and space, i.e., measurement data are collected in single day campaigns at selected locations only. The project “Robot-assisted Environmental Monitoring for Air Quality Assessment in Industrial Scenarios” (RASEM) addresses this issue by bringing together the benefits of both – low- and high-cost – measuring technologies enabling cost-efficient long-term air quality monitoring in realtime: A stationary network of low-cost sensors that is augmented by mobile units carrying high-quality sensors. By mapping the distribution of gases and particles in industrial environments with the proposed RASEM system, measures can be identified to improve on-site working conditions much faster than using traditional methods. In this presentation, we detail the technical aspects of RASEM and introduce the mobile platforms used. T2 - 38th Danubia-Adria Symposium on Advances in Experimental Mechanics CY - Poros, Greece DA - 20.09.2022 KW - RASEM KW - Dust sensor KW - Low-cost KW - Sensor network KW - Ground Robot KW - Aerial Robot PY - 2022 AN - OPUS4-55916 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Bennetts, V. H. A1 - Hüllmann, Dino A1 - Winkler, Nicolas P. A1 - Schugardt, Jan A1 - Monroy, J. A1 - Lilienthal, A. J. T1 - Mobile Applications with Drones/Robots - Aerial- and Ground-based Gas Tomography N2 - Remote gas sensors mounted on mobile robots enable the mapping of gas distributions in large or poorly accessible areas. A challenging task however, is the generation of three-dimensional distribution maps from these spatially sparse gas measurements. To obtain high-quality reconstructions, the choice of optimal measuring poses is of great importance. Remote gas sensors, that are commonly used in Robot Assisted Gas Tomography (RAGT), require reflecting surfaces within the sensor’s range, limiting the possible sensing geometries, regardless of whether the robots are ground-based or airborne. By combining ground and aerial robots into a heterogeneous swarm whose agents are equipped with reflectors and remote gas sensors, remote inter-robot gas measurements become available, taking RAGT to the next dimension – releasing those constraints. In this paper, we demonstrate the feasibility of drone-to-drone measurements under realistic conditions and highlight the resulting opportunities. T2 - ISOCS Short Course Winter 2023 CY - Bormio, Italy DA - 16.01.2023 KW - Aerial robot KW - Ground robot KW - Gas tomography KW - Inter-robot measurements KW - Plume KW - TDLAS PY - 2023 AN - OPUS4-56872 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Bartholmai, Matthias A1 - Urban, Klaus T1 - Anwendungsbeispiele für den Einsatz von Drohnen - Lokalisierung von Gasemissionsquellen, Erstellung von Gasverteilungskarten und Bekämpfung des Eichenprozessionsspinners N2 - Der Vortrag gibt Beispiele dafür, wie Drohnen sinnvoll im zivilen Bereich eingesetzt werden können. Insbesondere werden die Lokalisierung von Gasemissionsquellen, die Erstellung von Gasverteilungskarten und die Bekämpfung des Eichenprozessionsspinners näher vorgestellt. T2 - DRONEMASTERS.Berlin MeetUp #01.16 CY - Berlin, Germany DA - 27.01.2016 KW - Lokalisierung von Gasemissionsquellen KW - Erstellung von Gasverteilungskarten KW - Eichenprozessionsspinner PY - 2016 AN - OPUS4-36225 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Hüllmann, Dino A1 - Kohlhoff, Harald A1 - Bartholmai, Matthias A1 - Bennetts, V.H. A1 - Lilienthal, A.J. T1 - Mobile robot olfaction with flying platforms N2 - This presentation gives an introduction to the gas-sensitive aerial robots developed at BAM, including various application examples in the field of mobile robot olfaction: gas source localization and gas distribution mapping T2 - Networked Environmental Monitoring – from sensor principles to novel services CY - BAM, Berlin, Germany DA - 06.02.2018 KW - Localization of gas sources KW - Mobile Robot Olfaction KW - Tomographic reconstruction of gas plumes KW - Tunable Diode Laser Absorption Spectroscopy (TDLAS) KW - UAV-REGAS PY - 2018 AN - OPUS4-44086 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Hirschberger, Paul A1 - Baurzhan, Zhandos A1 - Tiebe, Carlo A1 - Hofmann, Michael A1 - Hüllmann, Dino A1 - Bartholmai, Matthias T1 - Indoor air quality monitoring using flying nanobots: Design and experimental study N2 - In this paper, we introduce a nano aerial robot swarm for Indoor Air Quality (IAQ) monitoring applications such as occupational health and safety of (industrial) workplaces. The robotic swarm is composed of nano Unmanned Aerial Vehicles (UAVs), based on the Crazyflie 2.0 quadrocopter, and small lightweight Metal Oxide (MOX) gas sensors for measuring the Total Volatile Organic Compound (TVOC), which is a measure for IAQ. An indoor localization and positioning system is used to estimate the absolute 3D position of the swarm similar to GPS. A test scenario was built up to validate and optimize the swarm for the intended applications. Besides calibration of the IAQ sensors, we performed experiments to investigate the influence of the rotor downwash on the gas measurements at different altitudes and compared them with stationary measurements. Moreover, we did a first evaluation of the gas distribution mapping performance. Based on this novel IAQ monitoring concept, new algorithms in the field of Mobile Robot Olfaction (MRO) are planned to be developed exploiting the abilities of an aerial robotic swarm. T2 - 18th International Symposium on Olfaction and Electronic Nose CY - Fukuoka, Japan DA - 26.05.2019 KW - Nano aerial robot KW - Swarm KW - Indoor air quality KW - Monitoring PY - 2019 AN - OPUS4-48149 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Hüllmann, Dino A1 - Winkler, Nicolas P. A1 - Kohlhoff, Harald A1 - Bartholmai, Matthias A1 - Hirschberger, Paul A1 - Bennetts, V.H. A1 - Lilienthal, A.J. T1 - Aerial Robot Olfaction - A Summary and Survey from BAM Perspective N2 - This presentation gives an introduction to the gas-sensitive aerial robots developed at BAM, including various application examples in the field of mobile robot olfaction: gas source localization and gas distribution mapping. T2 - Harvard University School of Engineering and Applied Sciences (SEAS)/Earth and Planetary Sciences (EPS) - Martin Group Seminar CY - Online meeting DA - 11.06.2020 KW - Mobile Robot Olfaction KW - Localization of gas sources KW - UAV KW - Tomographic reconstruction of gas plumes KW - Tunable Diode Laser Absorption Spectroscopy (TDLAS) PY - 2020 AN - OPUS4-50916 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Hüllmann, Dino A1 - Winkler, Nicolas P. A1 - Kohlhoff, Harald A1 - Bartholmai, Matthias A1 - Hirschberger, Paul A1 - Bennetts, V.H. A1 - Lilienthal, A.J. T1 - Gassensitive Flugroboter der BAM T1 - Aerial robot olfaction @ BAM N2 - Der Vortrag gibt Beispiele dafür, wie Drohnen sinnvoll im zivilen Bereich eingesetzt werden können. Insbesondere werden die Lokalisierung von Gasemissionsquellen und die Erstellung von Gasverteilungskarten vorgestellt. T2 - InnoTesting2020 „Innovative Ideen - neue Testmethoden” CY - Wildau, Berlin, Germany DA - 27.02.2020 KW - Mobile Robot Olfaction KW - Erstellung von Gasverteilungskarten KW - Lokalisierung von Gasemissionsquellen KW - UAV / UAS PY - 2020 AN - OPUS4-50476 LA - mul AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Lazik, D. A1 - Neumann, Patrick P. A1 - Bartholmai, Matthias A1 - Ebert, Sebastian T1 - Characteristic length measurement of a subsurface gas anomaly - an integrating monitoring approach over heterogeneous distributed gas flow paths N2 - Geogenic gases such as CH4 or CO2 from natural sources, gases (CCS-CO2, H2, Natural gas, City gas …) from a geological repository, or a leaking gas pipeline can present serious risks in industrial and urban areas where the density of infrastructural elements increases as well as above and below ground. To extend the lead time for risk treatment in such critical regions, reliable detection of gases within the shallow subsurface is required to observe critical gas accumulations before degassing into the atmosphere. A near real-time monitoring approach is introduced to determine the volumetric expansion of such a gas escaping from a leak in the subsurface. Considering the pressure relaxation with the ambient air pressure, the approach enables the forecasting of the final size of a pressurized gas body in terms of characteristic lengths. According to theoretical basics, such a characteristic length, which allows to perform a gas (safety) measurement based on a purely geometrical measure, behaves independently of subsurface properties, i.e., it enables a reliable quantification of the escaping gas, irrespective of its heterogeneous flow path distribution. A field test for a 10 l/min pinhole leakage of CO2 injected in an unsaturated Chernozemic soil (agricultural test field Bad Lauchstädt)that was equipped with linear gas sensors demonstrates the lateral-vertical volumetric gas expansion along the environment of these gas sensors, and confirms the applicability of the new characteristic length approach. T2 - UFZ EnergyDays 2017 CY - Leipzig, Germany DA - 15.03.2017 KW - CO2 KW - Carbon capture and storage KW - Leakage KW - Monitoring PY - 2017 AN - OPUS4-39400 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Kohlhoff, Harald A1 - Hüllmann, Dino A1 - Lilienthal, A.J. A1 - Kluge, Martin T1 - Bringing Mobile Robot Olfaction to the Next Dimension – UAV-based Remote Sensing of Gas Clouds and Source Localization N2 - This presentation introduces a novel robotic platform for aerial remote gas sensing. Spectroscopic measurement methods for remote sensing of selected gases lend themselves for use on mini-copters, which offer a number of advantages for inspection and surveillance. No direct contact with the target gas is needed and thus the influence of the aerial platform on the measured gas plume can be kept to a minimum. This allows to overcome one of the major issues with gas-sensitive mini-copters. On the other hand, remote gas sensors, most prominently Tunable Diode Laser Absorption Spectroscopy (TDLAS) sensors have been too bulky given the payload and energy restrictions of mini-copters. Here, we introduce and present the Unmanned Aerial Vehicle for Remote Gas Sensing (UAV-REGAS), which combines a novel lightweight TDLAS sensor with a 3-axis aerial stabilization gimbal for aiming on a versatile hexacopter. The proposed system can be deployed in scenarios that cannot be addressed by currently available robots and thus constitutes a significant step forward for the field of Mobile Robot Olfaction (MRO). It enables tomographic reconstruction of gas plumes and a localization of gas sources. We also present first results showing the gas sensing and aiming capabilities under realistic conditions. T2 - IEEE International Conference on Robotics and Automation (ICRA) CY - Singapore DA - 29.05.2017 KW - Tunable Diode Laser Absorption Spectroscopy (TDLAS) KW - 3-axis gimbal KW - Mobile Robot Olfaction KW - Tomographic reconstruction of gas plumes KW - Localization of gas sources KW - Aerial platform PY - 2017 AN - OPUS4-40546 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bennetts, V.H. A1 - Neumann, Patrick P. A1 - Kucner, T.P. A1 - Schaffernicht, E. A1 - Fan, H. A1 - Lilienthal, A.J. T1 - Probabilistic air flow modelling using turbulent and laminar characteristics for ground and aerial robots N2 - For mobile robots that operate in complex, uncontrolled environments, estimating air flow models can be of great importance. Aerial robots use air flow models to plan optimal navigation paths and to avoid turbulence-ridden areas. Search and rescue platforms use air flow models to infer the location of gas leaks. Environmental monitoring robots enrich pollution distribution maps by integrating the information conveyed by an air flow model. In this paper, we present an air flow modelling algorithm that uses wind data collected at a sparse number of locations to estimate joint probability distributions over wind speed and direction at given query locations. The algorithm uses a novel extrapolation approach that models the air flow as a linear combination of laminar and turbulent components. We evaluated the prediction capabilities of our algorithm with data collected with an aerial robot during several exploration runs. The results show that our algorithm has a high degree of stability with respect to parameter selection while outperforming conventional extrapolation approaches. In addition, we applied our proposed approach in an industrial application, where the characterization of a ventilation system is supported by a ground mobile robot. We compared multiple air flow maps recorded over several months by estimating stability maps using the Kullback-Leibler divergence between the distributions. The results show that, despite local differences, similar air flow patterns prevail over time. Moreover, we corroborated the validity of our results with knowledge from human experts. T2 - IEEE International Conference on Robotics and Automation (ICRA) CY - Singapore DA - 29.05.2017 KW - Mapping KW - Field robots KW - Environment monitoring and management KW - Aerial systems KW - Perception and autonomy PY - 2017 AN - OPUS4-40548 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Hüllmann, Dino A1 - Kohlhoff, Harald A1 - Bartholmai, Matthias A1 - Bennetts, V. H. A1 - Lilienthal, A. J. T1 - Mobile robot olfaction with flying platforms N2 - This presentation gives an introduction to the gas-sensitive aerial robots developed at BAM, including various application examples in the field of mobile robot olfaction: gas source localization and gas distribution mapping. T2 - NetMon International training course - Low-cost Environmental Monitoring CY - BAM, Berlin, Germany DA - 09.04.2019 KW - Localization of gas sources KW - Mobile Robot Olfaction KW - Tomographic reconstruction of gas plumes KW - Tunable Diode Laser Absorption Spectroscopy (TDLAS) KW - UAV-REGAS KW - Nano UAV Swarm PY - 2019 AN - OPUS4-47802 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Häusler, F. A1 - Stührenberg, J. A1 - Smarsly, K. T1 - Bout-based Gas Source Localization using Aerial Robot Swarms N2 - Gas source localization (GSL) helps mitigate the impact of industrial accidents and natural disasters. While GSL may be dangerous and time-consuming when performed by humans, swarms of agile and inexpensive nano aerial robots may increase the safety and efficiency of gas source localizations. Since the small payloads of nano aerial robots limit the sensing and computing resources, strategies adapted from biological swarms, such as colonies of social insects, are used to coordinate robot swarms. Most swarm GSL strategies are based on the assumption that the maxima of gas concentrations are sufficiently close to the gas sources. However, prior studies have indicated that the occurrence of “bouts”, a metric for the intermittency of gas distributions, may advantageously be used as a more accurate gas source proximity indicator. This paper presents a swarm GSL strategy employing bouts as source proximity indicators and a bio-inspired pheromone system for communication. Nano aerial robots, deployed in this study, act as agents and emit pheromone markers in an artificial environment upon detecting bouts. Leveraging the concept of artificial potential fields, the agents switch between exploiting the knowledge of the swarm by following pheromone gradients and exploring the search space by targeting a random point. The agents are repelled by each other and by walls to avoid collisions. The swarm GSL strategy is implemented into three nano aerial robots and validated in a real-world experiment in an indoor environment with a single gas source. The results indicate that the the swarm GSL strategy presented in this paper is capable of GSL in indoor environments and that the intermittency of gas distributions is a better source proximity indicator than the mean concentration. T2 - IEEE Sensors 2023 CY - Vienna, Austria DA - 29.10.2023 KW - Mobile robotic olfaction KW - Nano aerial robot KW - Gas source localization KW - Bouts KW - Distributed robotics PY - 2023 AN - OPUS4-58779 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Bennetts, V. H. A1 - Hüllmann, Dino A1 - Winkler, Nicolas P. A1 - Schugardt, Jan A1 - Monroy, J. G. A1 - Lilienthal, A. J. T1 - Seminar on Smelling Drones – Part 1: Introduction to Aerial Robot Olfaction N2 - This seminar series comprises three lectures on drones and ground robots capable of sensing chemical substances and two accompanying hands-on workshops on nano drones equipped with chemical sensors. In the first lecture, Dr. Neumann will talk on a summary of aerial robot olfaction and his research. In the second and third lectures, more details of the nano drones equipped with chemical sensors will be provided, and the participants can get hands on experience of the nano drones in the accompanying workshops. The lectures will be given in English. This seminar series is supported by FY2023 Researcher Exchanges Program in UEC. T2 - Seminar Series on Smelling Drones CY - Tokyo, Japan DA - 28.11.2023 KW - Mobile robotic olfaction KW - Aerial robot KW - Gas source localization KW - Gas distribution mapping PY - 2023 AN - OPUS4-59129 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Hirschberger, P. A1 - Baurzhan, Z. A1 - Tiebe, Carlo A1 - Hofmann, M. A1 - Hüllmann, Dino A1 - Bartholmai, Matthias T1 - Seminar on Smelling Drones – Part 2: Design and Experimental Study of an Nano Aerial Robot for ARO Applications N2 - This seminar series comprises three lectures on drones and ground robots capable of sensing chemical substances and two accompanying hands-on workshops on nano drones equipped with chemical sensors. In the first lecture, Dr. Neumann will talk on a summary of aerial robot olfaction and his research. In the second and third lectures, more details of the nano drones equipped with chemical sensors will be provided, and the participants can get hands on experience of the nano drones in the accompanying workshops. The lectures will be given in English. This seminar series is supported by FY2023 Researcher Exchanges Program in UEC. T2 - Seminar Series on Smelling Drones CY - Tokyo, Japan DA - 28.11.2023 KW - Mobile robotic olfaction KW - Nano aerial robot KW - Gas source localization KW - Setup and Validation KW - Gas distribution mapping PY - 2023 AN - OPUS4-59130 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Häusler, F. S. A1 - Stührenberg, J. A1 - Smarsly, K. T1 - Seminar on Smelling Drones – Part 3: Deep Dive: Bout-based Gas Source Localization using Aerial Robot Swarms N2 - This seminar series comprises three lectures on drones and ground robots capable of sensing chemical substances and two accompanying hands-on workshops on nano drones equipped with chemical sensors. In the first lecture, Dr. Neumann will talk on a summary of aerial robot olfaction and his research. In the second and third lectures, more details of the nano drones equipped with chemical sensors will be provided, and the participants can get hands on experience of the nano drones in the accompanying workshops. The lectures will be given in English. This seminar series is supported by FY2023 Researcher Exchanges Program in UEC. T2 - Seminar Series on Smelling Drones CY - Tokyo, Japan DA - 28.11.2023 KW - Mobile robotic olfaction KW - Nano aerial robot KW - Gas source localization KW - Bouts KW - Distributed robotics KW - Swarm PY - 2023 AN - OPUS4-59131 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Kohlhoff, Harald A1 - Hüllmann, Dino A1 - Kluge, Martin A1 - Askar, Enis A1 - Habib, Abdel Karim A1 - Krentel, Daniel A1 - Mair, Georg A1 - Rudolph, Michael A1 - Schoppa, André A1 - Szczepaniak, Mariusz A1 - Storm, Sven-Uwe A1 - Tschirschwitz, Rico T1 - Fernerkundung von Gaswolken und Leckageortung mittels UAV N2 - - Auswirkungen des unfallbedingten Versagens von Gasbehältern für alternative Kraftstoffe - Kurzvorstellung des Projekts „CoFi-ABV“ - UAV-REGAS Plattform (Unmanned Aerial Vehicle for Remote Gas Sensing): Kombination von Open-Path-Gassensorik mit einem 3-Achs-Gimbalsystem - Ergebnisse erster experimenteller Untersuchungen - Möglichkeiten und Herausforderungen der Lokalisierung von Gasquellen und Erstellung von Gasverteilungskarten mittels UAV - Ausblick für die Weiterentwicklung in Zukunft T2 - 2. VDI-Fachkonferenz Zivile Drohnen im Industrieeinsatz 2017 CY - Frankfurt (Main), Germany DA - 04.07.2017 KW - CoFi-ABV KW - UAV-REGAS KW - Lokalisierung von Gasquellen KW - Fernerkundung von Gaswolken PY - 2017 AN - OPUS4-40927 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -