Gas Source Localization Based on Binary Sensing with a UAV-Reference-Cited by-同舟云学术

Gas Source Localization Based on Binary Sensing with a UAV

Published:2022-05-29 Issue: Volume: Page:
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Container-title:2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)
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Author:

Wiedemann Thomas¹,Schaab Marius¹,Gomez Juan Marchal¹,Shutin Dmitriy¹,Scheibe Monika²,Lilienthal Achim J.³

Affiliation:

1. German Aerospace Center (DLR),Institute of Communications and Navigation,Oberpfaffenhofen,Germany

2. German Aerospace Center (DLR),Institute of Atmospheric Physics,Oberpfaffenhofen,Germany

3. Örebro University,Center for Applied Autonomous Sensor Systems,Sweden

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9789551/9789552/09789553.pdf?arnumber=9789553

Reference7 articles.

1. Bringing Mobile Robot Olfaction to the next dimension — UAV-based remote sensing of gas clouds and source localization

2. Simulate the aerodynamic olfactory effects of gas-sensitive UAVs: A numerical model and its parallel implementation

3. Probabilistic Air Flow Modelling Using Turbulent and Laminar Characteristics for Ground and Aerial Robots

4. It's always smelly around here! modeling the spatial distribution of gas detection events with based grid maps;lilienthal;15th International Symposium on Olfaction and Electronic Nose (ISOEN),2013

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