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    <id>61611</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
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    <type>lecture</type>
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    <title language="eng">DLR Research Seminar - ARO Lab@BAM – Current Research Topics</title>
    <abstract language="eng">This seminar presents the key research activities of ARO Lab@BAM, focusing on five main areas:&#13;
• Learning-based Gas Distribution Mapping utilizes machine learning to accurately model and predict spatial gas concentrations, enhancing environmental monitoring and safety.&#13;
• Mimose-A develops autonomous systems using artificial intelligence to enable the early detection of leaks in industrial environments.&#13;
• AGATO (Gastomography) introduces a novel robotic system for high-resolution gas distribution mapping.&#13;
• Passive Smart Dust detects chemically hazardous substances using drones equipped to distribute and detect particles carrying selective dyes, enabling rapid and reliable monitoring without complex components.&#13;
• HyAirLogic Lab advances hydrogen (H₂) research by testing the entire value chain in various Berlin-Brandenburg quarters, addressing technological challenges, public acceptance, and sustainable energy solutions for H₂-cargo drones.</abstract>
    <enrichment key="eventName">DLR Research Seminar</enrichment>
    <enrichment key="eventPlace">Weßling, Germany</enrichment>
    <enrichment key="eventStart">04.11.2024</enrichment>
    <enrichment key="eventEnd">06.11.2024</enrichment>
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    <author>Patrick P. Neumann</author>
    <author>Nicolas P. Winkler</author>
    <author>Tino Nerger</author>
    <author>Heiko Lohrke</author>
    <author>Mila Stanisavljevi</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Aerial robot</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Learning Based Gas Distribution Mapping</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Mobile Robotic Olfaction</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Aerial-based Gas Tomography</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Passive Smart Dust</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.1 Sensorik, mess- und prüftechnische Verfahren</collection>
    <collection role="themenfelder" number="">Umwelt</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
    <collection role="themenfelder" number="">Sensorik</collection>
  </doc>
  <doc>
    <id>60107</id>
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    <publishedYear>2024</publishedYear>
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    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>3</pageLast>
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    <publisherName>IEEE</publisherName>
    <publisherPlace>USA</publisherPlace>
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    <belongsToBibliography>1</belongsToBibliography>
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    <title language="eng">Outdoor Gas Plume Reconstructions: A Field Study with Aerial Tomography</title>
    <abstract language="eng">This paper outlines significant advancements in our previously developed aerial gas tomography system, now optimized to reconstruct 2D tomographic slices of gas plumes with enhanced precision in outdoor environments. The core of our system is an aerial robot equipped with a custom-built 3-axis aerial gimbal, a Tunable Diode Laser Absorption Spectroscopy (TDLAS) sensor for CH4 measurements, a laser rangefinder, and a wide-angle camera, combined with a state-of-the-art gas tomography algorithm. In real-world experiments, we sent the aerial robot along gate-shaped flight patterns over a semi-controlled environment with a static-like gas plume, providing a welldefined ground truth for system evaluation. The reconstructed cross-sectional 2D images closely matched the known ground truth concentration, confirming the system’s high accuracy and reliability. The demonstrated system’s capabilities open doors for potential applications in environmental monitoring and industrial safety, though further testing is planned to ascertain the system’s operational boundaries fully.</abstract>
    <parentTitle language="eng">2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Proceedings</parentTitle>
    <identifier type="isbn">979-8-3503-4865-1</identifier>
    <identifier type="doi">10.1109/isoen61239.2024.10556071</identifier>
    <enrichment key="eventName">20th International Symposium on Olfaction and Electronic Nose</enrichment>
    <enrichment key="eventPlace">Grapevine, Texas, USA</enrichment>
    <enrichment key="eventStart">12.05.2024</enrichment>
    <enrichment key="eventEnd">15.05.2024</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="date_peer_review">26.08.2024</enrichment>
    <author>Patrick P. Neumann</author>
    <author>Dino Hüllmann</author>
    <author>Nicolas P. Winkler</author>
    <author>Heiko Lohrke</author>
    <author>A. J. Lilienthal</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Aerial robot</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>TDLAS</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Gas Tomography</value>
    </subject>
    <subject>
      <language>eng</language>
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      <value>Plume</value>
    </subject>
    <collection role="ddc" number="628">Sanitär- und Kommunaltechnik; Umwelttechnik</collection>
    <collection role="ddc" number="660">Chemische Verfahrenstechnik</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.1 Sensorik, mess- und prüftechnische Verfahren</collection>
    <collection role="themenfelder" number="">Umwelt</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
    <collection role="themenfelder" number="">Anlagensicherheit und Prozesssimulation</collection>
    <collection role="themenfelder" number="">Sensorik</collection>
  </doc>
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