Autonomous Chemical Vapour Detection by Micro UAV
| Autor: | Karl David Pavey, Daniel Neumann, David Carr, Anselm Fatiaki, Nicholas John Fitzgerald, Brian Hanlon, Javaan Chahl, Kent Rosser |
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| Přispěvatelé: | Rosser, Kent, Pavey, Karl, FitzGerald, Nicholas, Fatiaki, Anselm, Neumann, Daniel, Carr, David, Hanlon, Brian, Chahl, Javaan |
| Rok vydání: | 2015 |
| Předmět: |
business.industry
UAV Science Real-time computing detection airborne real-time ComputerApplications_COMPUTERSINOTHERSYSTEMS Cloud computing vapour Chemical sensor Remote Sensing sensor Telemetry Range (aeronautics) Source localization General Earth and Planetary Sciences Environmental science business Open air Remote sensing |
| Zdroj: | Remote Sensing, Vol 7, Iss 12, Pp 16865-16882 (2015) Remote Sensing Volume 7 Issue 12 Pages 16865-16882 Remote Sensing; Volume 7; Issue 12; Pages: 16865-16882 |
| ISSN: | 2072-4292 |
| DOI: | 10.3390/rs71215858 |
| Popis: | The ability to remotely detect and map chemical vapour clouds in open air environments is a topic of significant interest to both defence and civilian communities. In this study, we integrate a prototype miniature colorimetric chemical sensor developed for methyl salicylate (MeS), as a model chemical vapour, into a micro unmanned aerial vehicle (UAV), and perform flights through a raised MeS vapour cloud. Our results show that that the system is capable of detecting MeS vapours at low ppm concentration in real-time flight and rapidly sending this information to users by on-board telemetry. Further, the results also indicate that the sensor is capable of distinguishing clean air from dirty, multiple times per flight, allowing us to look towards autonomous cloud mapping and source localization applications. Further development will focus on a broader range of integrated sensors, increased autonomy of detection and improved engineering of the system. Refereed/Peer-reviewed |
| Databáze: | OpenAIRE |
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