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Coverage path planning for spraying drones

The pandemic by COVID-19 is causing a devastating effect on the health of the global population. Currently, there are several efforts to prevent the spread of the virus. Among those efforts, cleaning and disinfecting public areas have become important tasks and they should be automated in future sma...

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Autores principales: Vazquez-Carmona, E. Viridiana, Vasquez-Gomez, Juan Irving, Herrera-Lozada, Juan Carlos, Antonio-Cruz, Mayra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958784/
https://www.ncbi.nlm.nih.gov/pubmed/35370350
http://dx.doi.org/10.1016/j.cie.2022.108125
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author Vazquez-Carmona, E. Viridiana
Vasquez-Gomez, Juan Irving
Herrera-Lozada, Juan Carlos
Antonio-Cruz, Mayra
author_facet Vazquez-Carmona, E. Viridiana
Vasquez-Gomez, Juan Irving
Herrera-Lozada, Juan Carlos
Antonio-Cruz, Mayra
author_sort Vazquez-Carmona, E. Viridiana
collection PubMed
description The pandemic by COVID-19 is causing a devastating effect on the health of the global population. Currently, there are several efforts to prevent the spread of the virus. Among those efforts, cleaning and disinfecting public areas have become important tasks and they should be automated in future smart cities. To contribute in this direction, this paper proposes a coverage path planning method for a spraying drone, an unmanned aerial vehicle that has mounted a sprayer/sprinkler system, that can disinfect areas. State-of-the-art planners consider a camera instead of a sprinkler, in consequence, the expected coverage will differ in running time because the liquid dispersion is different from a camera’s projection model. In addition, current planners assume that the vehicles can fly outside the target region; this assumption can not be satisfied in our problem, because disinfections are performed at low altitudes. Our method presents i) a new sprayer/sprinkler model that fits a more realistic coverage volume to the drop dispersion and ii) a planning method that efficiently restricts the flight to the region of interest avoiding potential collisions in bounded scenes. The algorithm has been tested in several simulation scenes, showing that it is effective and covers more areas with respect to two approaches in the literature. Note that the proposal is not limited to disinfection applications, but can be applied to other ones, such as painting or precision agriculture.
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spelling pubmed-89587842022-03-28 Coverage path planning for spraying drones Vazquez-Carmona, E. Viridiana Vasquez-Gomez, Juan Irving Herrera-Lozada, Juan Carlos Antonio-Cruz, Mayra Comput Ind Eng Article The pandemic by COVID-19 is causing a devastating effect on the health of the global population. Currently, there are several efforts to prevent the spread of the virus. Among those efforts, cleaning and disinfecting public areas have become important tasks and they should be automated in future smart cities. To contribute in this direction, this paper proposes a coverage path planning method for a spraying drone, an unmanned aerial vehicle that has mounted a sprayer/sprinkler system, that can disinfect areas. State-of-the-art planners consider a camera instead of a sprinkler, in consequence, the expected coverage will differ in running time because the liquid dispersion is different from a camera’s projection model. In addition, current planners assume that the vehicles can fly outside the target region; this assumption can not be satisfied in our problem, because disinfections are performed at low altitudes. Our method presents i) a new sprayer/sprinkler model that fits a more realistic coverage volume to the drop dispersion and ii) a planning method that efficiently restricts the flight to the region of interest avoiding potential collisions in bounded scenes. The algorithm has been tested in several simulation scenes, showing that it is effective and covers more areas with respect to two approaches in the literature. Note that the proposal is not limited to disinfection applications, but can be applied to other ones, such as painting or precision agriculture. Elsevier Ltd. 2022-06 2022-03-28 /pmc/articles/PMC8958784/ /pubmed/35370350 http://dx.doi.org/10.1016/j.cie.2022.108125 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Vazquez-Carmona, E. Viridiana
Vasquez-Gomez, Juan Irving
Herrera-Lozada, Juan Carlos
Antonio-Cruz, Mayra
Coverage path planning for spraying drones
title Coverage path planning for spraying drones
title_full Coverage path planning for spraying drones
title_fullStr Coverage path planning for spraying drones
title_full_unstemmed Coverage path planning for spraying drones
title_short Coverage path planning for spraying drones
title_sort coverage path planning for spraying drones
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958784/
https://www.ncbi.nlm.nih.gov/pubmed/35370350
http://dx.doi.org/10.1016/j.cie.2022.108125
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