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dc.contributor.authorGu, Qijun
dc.contributor.authorMichanowicz, Drew R.
dc.contributor.authorJia, Chunrong
dc.date.accessioned2019-08-02T18:11:55Z
dc.date.available2019-08-02T18:11:55Z
dc.date.issued2018-12-10
dc.identifier.citationGu, Q., Michanowicz, D. R., & Jia, C. (2018). Developing a modular unmanned aerial vehicle (UAV) platform for air pollution profiling. Sensors, 18(12).en_US
dc.identifier.issn1424-8220
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/8449
dc.description.abstractThe unmanned aerial vehicle (UAV) offers great potential for collecting air quality data with high spatial and temporal resolutions. The objective of this study is to design and develop a modular UAV-based platform capable of real-time monitoring of multiple air pollutants. The system comprises five modules: the UAV, the ground station, the sensors, the data acquisition (DA) module, and the data fusion (DF) module. The hardware was constructed with off-the-shelf consumer parts and the open source software Ardupilot was used for flight control and data fusion. The prototype UAV system was tested in representative settings. Results show that this UAV platform can fly on pre-determined pathways with adequate flight time for various data collection missions. The system simultaneously collects air quality and high precision X-Y-Z data and integrates and visualizes them in a real-time manner. While the system can accommodate multiple gas sensors, UAV operations may electronically interfere with the performance of chemical-resistant sensors. Our prototype and experiments prove the feasibility of the system and show that it features a stable and high precision spatial-temporal platform for air sample collection. Future work should be focused on gas sensor development, plug-and-play interfaces, impacts of rotor wash, and all-weather designs.en_US
dc.formatText
dc.format.extent14 pages
dc.format.medium1 file (.pdf)
dc.language.isoen_USen_US
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)en_US
dc.source.uriSensors, 2018, Vol. 18, No. 12 : 4363
dc.subjectUnmanned aerial vehicleen_US
dc.subjectAir monitoring
dc.subjectAir pollution
dc.subjectDrone
dc.subjectModular design
dc.titleDeveloping a Modular Unmanned Aerial Vehicle (UAV) Platform for Air Pollution Profilingen_US
txstate.documenttypeArticle
dc.identifier.doihttps://doi.org/10.3390/s18124363
txstate.departmentComputer Science


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