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Development of Fixed-Wing UAV 3D Coverage Paths for Urban Air Quality Profiling

Due to the ever-increasing industrial activity, humans and the environment suffer from deteriorating air quality, making the long-term monitoring of air particle indicators essential. The advances in unmanned aerial vehicles (UAVs) offer the potential to utilize UAVs for various forms of monitoring,...

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Autores principales: Zhou, Qianyu, Lo, Li-Yu, Jiang, Bailun, Chang, Ching-Wei, Wen, Chih-Yung, Chen, Chih-Keng, Zhou, Weifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143050/
https://www.ncbi.nlm.nih.gov/pubmed/35632041
http://dx.doi.org/10.3390/s22103630
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author Zhou, Qianyu
Lo, Li-Yu
Jiang, Bailun
Chang, Ching-Wei
Wen, Chih-Yung
Chen, Chih-Keng
Zhou, Weifeng
author_facet Zhou, Qianyu
Lo, Li-Yu
Jiang, Bailun
Chang, Ching-Wei
Wen, Chih-Yung
Chen, Chih-Keng
Zhou, Weifeng
author_sort Zhou, Qianyu
collection PubMed
description Due to the ever-increasing industrial activity, humans and the environment suffer from deteriorating air quality, making the long-term monitoring of air particle indicators essential. The advances in unmanned aerial vehicles (UAVs) offer the potential to utilize UAVs for various forms of monitoring, of which air quality data acquisition is one. Nevertheless, most current UAV-based air monitoring suffers from a low payload, short endurance, and limited range, as they are primarily dependent on rotary aerial vehicles. In contrast, a fixed-wing UAV may be a better alternative. Additionally, one of the most critical modules for 3D profiling of a UAV system is path planning, as it directly impacts the final results of the spatial coverage and temporal efficiency. Therefore, this work focused on developing 3D coverage path planning based upon current commercial ground control software, where the method mainly depends on the Boustrophedon and Dubins paths. Furthermore, a user interface was also designed for easy accessibility, which provides a generalized tool module that links up the proposed algorithm, the ground control software, and the flight controller. Simulations were conducted to assess the proposed methods. The result showed that the proposed methods outperformed the existing coverage paths generated by ground control software, as it showed a better coverage rate with a sampling density of 50 m.
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spelling pubmed-91430502022-05-29 Development of Fixed-Wing UAV 3D Coverage Paths for Urban Air Quality Profiling Zhou, Qianyu Lo, Li-Yu Jiang, Bailun Chang, Ching-Wei Wen, Chih-Yung Chen, Chih-Keng Zhou, Weifeng Sensors (Basel) Article Due to the ever-increasing industrial activity, humans and the environment suffer from deteriorating air quality, making the long-term monitoring of air particle indicators essential. The advances in unmanned aerial vehicles (UAVs) offer the potential to utilize UAVs for various forms of monitoring, of which air quality data acquisition is one. Nevertheless, most current UAV-based air monitoring suffers from a low payload, short endurance, and limited range, as they are primarily dependent on rotary aerial vehicles. In contrast, a fixed-wing UAV may be a better alternative. Additionally, one of the most critical modules for 3D profiling of a UAV system is path planning, as it directly impacts the final results of the spatial coverage and temporal efficiency. Therefore, this work focused on developing 3D coverage path planning based upon current commercial ground control software, where the method mainly depends on the Boustrophedon and Dubins paths. Furthermore, a user interface was also designed for easy accessibility, which provides a generalized tool module that links up the proposed algorithm, the ground control software, and the flight controller. Simulations were conducted to assess the proposed methods. The result showed that the proposed methods outperformed the existing coverage paths generated by ground control software, as it showed a better coverage rate with a sampling density of 50 m. MDPI 2022-05-10 /pmc/articles/PMC9143050/ /pubmed/35632041 http://dx.doi.org/10.3390/s22103630 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhou, Qianyu
Lo, Li-Yu
Jiang, Bailun
Chang, Ching-Wei
Wen, Chih-Yung
Chen, Chih-Keng
Zhou, Weifeng
Development of Fixed-Wing UAV 3D Coverage Paths for Urban Air Quality Profiling
title Development of Fixed-Wing UAV 3D Coverage Paths for Urban Air Quality Profiling
title_full Development of Fixed-Wing UAV 3D Coverage Paths for Urban Air Quality Profiling
title_fullStr Development of Fixed-Wing UAV 3D Coverage Paths for Urban Air Quality Profiling
title_full_unstemmed Development of Fixed-Wing UAV 3D Coverage Paths for Urban Air Quality Profiling
title_short Development of Fixed-Wing UAV 3D Coverage Paths for Urban Air Quality Profiling
title_sort development of fixed-wing uav 3d coverage paths for urban air quality profiling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143050/
https://www.ncbi.nlm.nih.gov/pubmed/35632041
http://dx.doi.org/10.3390/s22103630
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