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Research on UAV Route Optimization Method Based on Double Target of Confidence and Ambiguity
In recent years, with the continuous development of drone technology, UAVs are used as unmanned and flightable devices, UAV plays an important role in remote sensing and GIS disciplines. During the flight, no one directly participates in flight-related decisions such as flight routes, path planning,...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317689/ https://www.ncbi.nlm.nih.gov/pubmed/34335221 http://dx.doi.org/10.3389/fnbot.2021.694899 |
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author | Zhang, Huijuan |
author_facet | Zhang, Huijuan |
author_sort | Zhang, Huijuan |
collection | PubMed |
description | In recent years, with the continuous development of drone technology, UAVs are used as unmanned and flightable devices, UAV plays an important role in remote sensing and GIS disciplines. During the flight, no one directly participates in flight-related decisions such as flight routes, path planning, and flight control. In this case, it is necessary to use the computing power of the onboard computer of the UAV system, the computing power of the ground station computer, and related technologies such as detecting sensing, image vision, real-time wireless communication, etc., to develop target planning, decision-making and control algorithms for specific problems, and to solve the problem. Flight planning and flight control issues in machine applications. The UAV route optimization method based on the double target of confidence and ambiguity has positive significance for route optimization and wide application of UAV. In this context, this paper aims to analyze and study the UAV route optimization method based on the two goals of confidence and ambiguity, and optimized the method of drone route. The calculation results show that, compared with other methods, this method can make the UAV not rely on human control, but realize the use of fuzzy control method to identify the target and track the moving target. |
format | Online Article Text |
id | pubmed-8317689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83176892021-07-29 Research on UAV Route Optimization Method Based on Double Target of Confidence and Ambiguity Zhang, Huijuan Front Neurorobot Neuroscience In recent years, with the continuous development of drone technology, UAVs are used as unmanned and flightable devices, UAV plays an important role in remote sensing and GIS disciplines. During the flight, no one directly participates in flight-related decisions such as flight routes, path planning, and flight control. In this case, it is necessary to use the computing power of the onboard computer of the UAV system, the computing power of the ground station computer, and related technologies such as detecting sensing, image vision, real-time wireless communication, etc., to develop target planning, decision-making and control algorithms for specific problems, and to solve the problem. Flight planning and flight control issues in machine applications. The UAV route optimization method based on the double target of confidence and ambiguity has positive significance for route optimization and wide application of UAV. In this context, this paper aims to analyze and study the UAV route optimization method based on the two goals of confidence and ambiguity, and optimized the method of drone route. The calculation results show that, compared with other methods, this method can make the UAV not rely on human control, but realize the use of fuzzy control method to identify the target and track the moving target. Frontiers Media S.A. 2021-07-14 /pmc/articles/PMC8317689/ /pubmed/34335221 http://dx.doi.org/10.3389/fnbot.2021.694899 Text en Copyright © 2021 Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Zhang, Huijuan Research on UAV Route Optimization Method Based on Double Target of Confidence and Ambiguity |
title | Research on UAV Route Optimization Method Based on Double Target of Confidence and Ambiguity |
title_full | Research on UAV Route Optimization Method Based on Double Target of Confidence and Ambiguity |
title_fullStr | Research on UAV Route Optimization Method Based on Double Target of Confidence and Ambiguity |
title_full_unstemmed | Research on UAV Route Optimization Method Based on Double Target of Confidence and Ambiguity |
title_short | Research on UAV Route Optimization Method Based on Double Target of Confidence and Ambiguity |
title_sort | research on uav route optimization method based on double target of confidence and ambiguity |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317689/ https://www.ncbi.nlm.nih.gov/pubmed/34335221 http://dx.doi.org/10.3389/fnbot.2021.694899 |
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