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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Published in:	Wireless communications and mobile computing Vol. 2021; no. 1
Main Authors:	Wu, Ling, Sun, Yongrong, Zhao, Kedong, Fu, Xiyu
Format:	Journal Article
Language:	English
Published:	Oxford Hindawi 2021 John Wiley & Sons, Inc
Subjects:	Adaptive algorithms Aerial refueling Aircraft Algorithms Image processing Image resolution Image segmentation Light emitting diodes Support vector machines Target detection Tracking Unmanned aerial vehicles Vision systems
ISSN:	1530-8669, 1530-8677
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Abstract	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.
AbstractList	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.
Author	Wu, Ling Sun, Yongrong Fu, Xiyu Zhao, Kedong
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Copyright	Copyright © 2021 Ling Wu et al. Copyright © 2021 Ling Wu et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Snippet	Autonomous aerial refueling (AAR) technology can increase the flight endurance of unmanned air vehicles (UAVs) effectively. Drogue detection and target...
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SubjectTerms	Adaptive algorithms Aerial refueling Aircraft Algorithms Image processing Image resolution Image segmentation Light emitting diodes Support vector machines Target detection Tracking Unmanned aerial vehicles Vision systems
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Title	A Novel Vision-Based PRPL Multistage Image Processing Algorithm for Autonomous Aerial Refueling
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