A Novel Vision-Based PRPL Multistage Image Processing Algorithm for Autonomous Aerial Refueling

Autonomous aerial refueling (AAR) technology can increase the flight endurance of unmanned air vehicles (UAVs) effectively. Drogue detection and target tracking method are significant for probe-drogue refueling system in the docking stage. This paper proposes a novel vision-based multistage image pr...

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Autores principales:	Ling Wu, Yongrong Sun, Kedong Zhao, Xiyu Fu
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/e3d33507dc1b461e9a45ced260654784
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id	oai:doaj.org-article:e3d33507dc1b461e9a45ced260654784
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spelling	oai:doaj.org-article:e3d33507dc1b461e9a45ced2606547842021-11-22T01:10:39ZA Novel Vision-Based PRPL Multistage Image Processing Algorithm for Autonomous Aerial Refueling1530-867710.1155/2021/2778857https://doaj.org/article/e3d33507dc1b461e9a45ced2606547842021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2778857https://doaj.org/toc/1530-8677Autonomous aerial refueling (AAR) technology can increase the flight endurance of unmanned air vehicles (UAVs) effectively. Drogue detection and target tracking method are significant for probe-drogue refueling system in the docking stage. This paper proposes a novel vision-based multistage image processing algorithm of drogue detection and target tracking for AAR. This algorithm divides the whole task into four stages: preprocessor, recognizer, predictor, and locker (PRPL). The adaptive threshold segmentation (ATS) algorithm and support vector machine (SVM) classifier are utilized in preprocessor and recognizer for drogue detection. An improved kernelized correlation filter (IKCF) tracking algorithm and scale adaptive method by window position as well as image resolution adjusted are adopted in predictor and locker for target tracking in complex dynamic environments. Finally, the proposed PRPL multistage image processing strategy is tested using an autonomous aerial refueling testbed. The results indicate that the proposed algorithm achieves high precision, good reliability, and real-time capability compared with conventional algorithms. The average processing time is within 11 ms in various environments, which can meet the requirement for drogue detection and tracking in AAR.Ling WuYongrong SunKedong ZhaoXiyu FuHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Ling Wu Yongrong Sun Kedong Zhao Xiyu Fu A Novel Vision-Based PRPL Multistage Image Processing Algorithm for Autonomous Aerial Refueling
description	Autonomous aerial refueling (AAR) technology can increase the flight endurance of unmanned air vehicles (UAVs) effectively. Drogue detection and target tracking method are significant for probe-drogue refueling system in the docking stage. This paper proposes a novel vision-based multistage image processing algorithm of drogue detection and target tracking for AAR. This algorithm divides the whole task into four stages: preprocessor, recognizer, predictor, and locker (PRPL). The adaptive threshold segmentation (ATS) algorithm and support vector machine (SVM) classifier are utilized in preprocessor and recognizer for drogue detection. An improved kernelized correlation filter (IKCF) tracking algorithm and scale adaptive method by window position as well as image resolution adjusted are adopted in predictor and locker for target tracking in complex dynamic environments. Finally, the proposed PRPL multistage image processing strategy is tested using an autonomous aerial refueling testbed. The results indicate that the proposed algorithm achieves high precision, good reliability, and real-time capability compared with conventional algorithms. The average processing time is within 11 ms in various environments, which can meet the requirement for drogue detection and tracking in AAR.
format	article
author	Ling Wu Yongrong Sun Kedong Zhao Xiyu Fu
author_facet	Ling Wu Yongrong Sun Kedong Zhao Xiyu Fu
author_sort	Ling Wu
title	A Novel Vision-Based PRPL Multistage Image Processing Algorithm for Autonomous Aerial Refueling
title_short	A Novel Vision-Based PRPL Multistage Image Processing Algorithm for Autonomous Aerial Refueling
title_full	A Novel Vision-Based PRPL Multistage Image Processing Algorithm for Autonomous Aerial Refueling
title_fullStr	A Novel Vision-Based PRPL Multistage Image Processing Algorithm for Autonomous Aerial Refueling
title_full_unstemmed	A Novel Vision-Based PRPL Multistage Image Processing Algorithm for Autonomous Aerial Refueling
title_sort	novel vision-based prpl multistage image processing algorithm for autonomous aerial refueling
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/e3d33507dc1b461e9a45ced260654784
work_keys_str_mv	AT lingwu anovelvisionbasedprplmultistageimageprocessingalgorithmforautonomousaerialrefueling AT yongrongsun anovelvisionbasedprplmultistageimageprocessingalgorithmforautonomousaerialrefueling AT kedongzhao anovelvisionbasedprplmultistageimageprocessingalgorithmforautonomousaerialrefueling AT xiyufu anovelvisionbasedprplmultistageimageprocessingalgorithmforautonomousaerialrefueling AT lingwu novelvisionbasedprplmultistageimageprocessingalgorithmforautonomousaerialrefueling AT yongrongsun novelvisionbasedprplmultistageimageprocessingalgorithmforautonomousaerialrefueling AT kedongzhao novelvisionbasedprplmultistageimageprocessingalgorithmforautonomousaerialrefueling AT xiyufu novelvisionbasedprplmultistageimageprocessingalgorithmforautonomousaerialrefueling
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A Novel Vision-Based PRPL Multistage Image Processing Algorithm for Autonomous Aerial Refueling

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