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Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm
Recently, drone shows have impressed many people through a convergence of technology and art. However, these demonstrations have limited operating hours based on the battery life. Thus, it is important to minimize the unnecessary transition time between scenes without collision to increase operating...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916484/ https://www.ncbi.nlm.nih.gov/pubmed/33578768 http://dx.doi.org/10.3390/s21041260 |
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author | Moon, SungTae Lee, Donghun Lee, Dongoo Kim, Doyoon Bang, Hyochoong |
author_facet | Moon, SungTae Lee, Donghun Lee, Dongoo Kim, Doyoon Bang, Hyochoong |
author_sort | Moon, SungTae |
collection | PubMed |
description | Recently, drone shows have impressed many people through a convergence of technology and art. However, these demonstrations have limited operating hours based on the battery life. Thus, it is important to minimize the unnecessary transition time between scenes without collision to increase operating time. This paper proposes a fast and energy-efficient scene transition algorithm that minimizes the transition times between scenes. This algorithm reduces the maximum drone movement distance to increase the operating time and exploits a multilayer method to avoid collisions between drones. In addition, a swarming flight system including robust communication and position estimation is presented as a concrete experimental system. The proposed algorithm was verified using the swarming flight system at a drone show performed with 100 drones. |
format | Online Article Text |
id | pubmed-7916484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79164842021-03-01 Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm Moon, SungTae Lee, Donghun Lee, Dongoo Kim, Doyoon Bang, Hyochoong Sensors (Basel) Article Recently, drone shows have impressed many people through a convergence of technology and art. However, these demonstrations have limited operating hours based on the battery life. Thus, it is important to minimize the unnecessary transition time between scenes without collision to increase operating time. This paper proposes a fast and energy-efficient scene transition algorithm that minimizes the transition times between scenes. This algorithm reduces the maximum drone movement distance to increase the operating time and exploits a multilayer method to avoid collisions between drones. In addition, a swarming flight system including robust communication and position estimation is presented as a concrete experimental system. The proposed algorithm was verified using the swarming flight system at a drone show performed with 100 drones. MDPI 2021-02-10 /pmc/articles/PMC7916484/ /pubmed/33578768 http://dx.doi.org/10.3390/s21041260 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Moon, SungTae Lee, Donghun Lee, Dongoo Kim, Doyoon Bang, Hyochoong Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm |
title | Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm |
title_full | Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm |
title_fullStr | Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm |
title_full_unstemmed | Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm |
title_short | Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm |
title_sort | energy-efficient swarming flight formation transitions using the improved fair hungarian algorithm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916484/ https://www.ncbi.nlm.nih.gov/pubmed/33578768 http://dx.doi.org/10.3390/s21041260 |
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