UAV Behavior-Intention Estimation Method Based on 4-D Flight-Trajectory Prediction

Aiming at the limitation of the traditional four-dimensional (4-D) trajectory-prediction model of unmanned aerial vehicles (UAV), a 4-D trajectory combined prediction model based on a genetic algorithm is proposed. Based on historical flight data and the UAV motion equation, the model is weighted dy...

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Autores principales:	Honghai Zhang, Yongjie Yan, Shan Li, Yuxin Hu, Hao Liu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	UAV 4-D flight trajectory SVR combined prediction behavior intention Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/fa8f30f0b13c4a2d8b893ff76a74f02d
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id	oai:doaj.org-article:fa8f30f0b13c4a2d8b893ff76a74f02d
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spelling	oai:doaj.org-article:fa8f30f0b13c4a2d8b893ff76a74f02d2021-11-25T19:01:53ZUAV Behavior-Intention Estimation Method Based on 4-D Flight-Trajectory Prediction10.3390/su1322125282071-1050https://doaj.org/article/fa8f30f0b13c4a2d8b893ff76a74f02d2021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12528https://doaj.org/toc/2071-1050Aiming at the limitation of the traditional four-dimensional (4-D) trajectory-prediction model of unmanned aerial vehicles (UAV), a 4-D trajectory combined prediction model based on a genetic algorithm is proposed. Based on historical flight data and the UAV motion equation, the model is weighted dynamically by a genetic algorithm, which can predict UAV trajectory and the time of entering the protection zone instantly and accurately. Then, according to the number of areas where the tangent line of the current trajectory point intersects with the collision area, alarm area, alert area, and the time of entering the protection zone, the UAV’s behavior intention can be estimated. The simulation experiments verify the dangerous behaviors of UAV under different danger levels, which provides reference for the subsequent maneuvering strategies.Honghai ZhangYongjie YanShan LiYuxin HuHao LiuMDPI AGarticleUAV4-D flight trajectorySVRcombined predictionbehavior intentionEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12528, p 12528 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	UAV 4-D flight trajectory SVR combined prediction behavior intention Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	UAV 4-D flight trajectory SVR combined prediction behavior intention Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Honghai Zhang Yongjie Yan Shan Li Yuxin Hu Hao Liu UAV Behavior-Intention Estimation Method Based on 4-D Flight-Trajectory Prediction
description	Aiming at the limitation of the traditional four-dimensional (4-D) trajectory-prediction model of unmanned aerial vehicles (UAV), a 4-D trajectory combined prediction model based on a genetic algorithm is proposed. Based on historical flight data and the UAV motion equation, the model is weighted dynamically by a genetic algorithm, which can predict UAV trajectory and the time of entering the protection zone instantly and accurately. Then, according to the number of areas where the tangent line of the current trajectory point intersects with the collision area, alarm area, alert area, and the time of entering the protection zone, the UAV’s behavior intention can be estimated. The simulation experiments verify the dangerous behaviors of UAV under different danger levels, which provides reference for the subsequent maneuvering strategies.
format	article
author	Honghai Zhang Yongjie Yan Shan Li Yuxin Hu Hao Liu
author_facet	Honghai Zhang Yongjie Yan Shan Li Yuxin Hu Hao Liu
author_sort	Honghai Zhang
title	UAV Behavior-Intention Estimation Method Based on 4-D Flight-Trajectory Prediction
title_short	UAV Behavior-Intention Estimation Method Based on 4-D Flight-Trajectory Prediction
title_full	UAV Behavior-Intention Estimation Method Based on 4-D Flight-Trajectory Prediction
title_fullStr	UAV Behavior-Intention Estimation Method Based on 4-D Flight-Trajectory Prediction
title_full_unstemmed	UAV Behavior-Intention Estimation Method Based on 4-D Flight-Trajectory Prediction
title_sort	uav behavior-intention estimation method based on 4-d flight-trajectory prediction
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/fa8f30f0b13c4a2d8b893ff76a74f02d
work_keys_str_mv	AT honghaizhang uavbehaviorintentionestimationmethodbasedon4dflighttrajectoryprediction AT yongjieyan uavbehaviorintentionestimationmethodbasedon4dflighttrajectoryprediction AT shanli uavbehaviorintentionestimationmethodbasedon4dflighttrajectoryprediction AT yuxinhu uavbehaviorintentionestimationmethodbasedon4dflighttrajectoryprediction AT haoliu uavbehaviorintentionestimationmethodbasedon4dflighttrajectoryprediction
_version_	1718410441083846656

UAV Behavior-Intention Estimation Method Based on 4-D Flight-Trajectory Prediction

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