Review of UAV Obstacle Avoidance Algorithms

Along with the advancement of low-altitude airspace reform, it has become a developing trend that UAV leaves the isolation airspace and gets into the fusion low-altitude airspace to perform diverse missions. A serious threat is brought to UAV in the low dynamic complex fusion airspace, so the obstac...

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Autor principal:	Zhang Honghong, Gan Xusheng, Mao Yi, Yang Chunlin, Xie Xiaowei
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Office of Aero Weaponry 2021
Materias:	\|uav\|obstacle avoidance\|optimization\|potential field\|machine learning\|artificial intelligence\|autonomous control Motor vehicles. Aeronautics. Astronautics TL1-4050
Acceso en línea:	https://doaj.org/article/532d98770c804eb6bd9cefd2e4789ef2
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id	oai:doaj.org-article:532d98770c804eb6bd9cefd2e4789ef2
record_format	dspace
spelling	oai:doaj.org-article:532d98770c804eb6bd9cefd2e4789ef22021-11-30T00:13:23ZReview of UAV Obstacle Avoidance Algorithms1673-504810.12132/ISSN.1673-5048.2021.0006https://doaj.org/article/532d98770c804eb6bd9cefd2e4789ef22021-10-01T00:00:00Zhttps://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2021-00006.pdfhttps://doaj.org/toc/1673-5048Along with the advancement of low-altitude airspace reform, it has become a developing trend that UAV leaves the isolation airspace and gets into the fusion low-altitude airspace to perform diverse missions. A serious threat is brought to UAV in the low dynamic complex fusion airspace, so the obstacle avoidance technology has become a key process in UAV mission decision-making system, to ensure the safe operation of the UAV and to improve working efficiency. Firstly, the relevant concepts, path evaluation indexes and key technologies of UAV obstacle avoidance are described. Then, the concepts of obstacle avoidance algorithms based on optimization, potential field and machine learning are described, and the advantages and disadvantages of these algorithms are compared. Finally, the current challenges that restrict the development of UAV obstacle avoidance and the future research directions are proposed.Zhang Honghong, Gan Xusheng, Mao Yi, Yang Chunlin, Xie XiaoweiEditorial Office of Aero Weaponryarticle\|uav\|obstacle avoidance\|optimization\|potential field\|machine learning\|artificial intelligence\|autonomous controlMotor vehicles. Aeronautics. AstronauticsTL1-4050ZHHangkong bingqi, Vol 28, Iss 5, Pp 53-63 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	\|uav\|obstacle avoidance\|optimization\|potential field\|machine learning\|artificial intelligence\|autonomous control Motor vehicles. Aeronautics. Astronautics TL1-4050
spellingShingle	\|uav\|obstacle avoidance\|optimization\|potential field\|machine learning\|artificial intelligence\|autonomous control Motor vehicles. Aeronautics. Astronautics TL1-4050 Zhang Honghong, Gan Xusheng, Mao Yi, Yang Chunlin, Xie Xiaowei Review of UAV Obstacle Avoidance Algorithms
description	Along with the advancement of low-altitude airspace reform, it has become a developing trend that UAV leaves the isolation airspace and gets into the fusion low-altitude airspace to perform diverse missions. A serious threat is brought to UAV in the low dynamic complex fusion airspace, so the obstacle avoidance technology has become a key process in UAV mission decision-making system, to ensure the safe operation of the UAV and to improve working efficiency. Firstly, the relevant concepts, path evaluation indexes and key technologies of UAV obstacle avoidance are described. Then, the concepts of obstacle avoidance algorithms based on optimization, potential field and machine learning are described, and the advantages and disadvantages of these algorithms are compared. Finally, the current challenges that restrict the development of UAV obstacle avoidance and the future research directions are proposed.
format	article
author	Zhang Honghong, Gan Xusheng, Mao Yi, Yang Chunlin, Xie Xiaowei
author_facet	Zhang Honghong, Gan Xusheng, Mao Yi, Yang Chunlin, Xie Xiaowei
author_sort	Zhang Honghong, Gan Xusheng, Mao Yi, Yang Chunlin, Xie Xiaowei
title	Review of UAV Obstacle Avoidance Algorithms
title_short	Review of UAV Obstacle Avoidance Algorithms
title_full	Review of UAV Obstacle Avoidance Algorithms
title_fullStr	Review of UAV Obstacle Avoidance Algorithms
title_full_unstemmed	Review of UAV Obstacle Avoidance Algorithms
title_sort	review of uav obstacle avoidance algorithms
publisher	Editorial Office of Aero Weaponry
publishDate	2021
url	https://doaj.org/article/532d98770c804eb6bd9cefd2e4789ef2
work_keys_str_mv	AT zhanghonghongganxushengmaoyiyangchunlinxiexiaowei reviewofuavobstacleavoidancealgorithms
_version_	1718406864337633280

Review of UAV Obstacle Avoidance Algorithms

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