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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,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9143050 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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