Systems Engineering and Electronics ›› 2026, Vol. 48 ›› Issue (3): 1018-1030.doi: 10.12305/j.issn.1001-506X.2026.03.26

• Guidance, Navigation and Control • Previous Articles    

Drogue detection and localization methodology for UAV autonomous aerial refueling

Jiapeng LI1,2, Shuhui BU1,2,*, Zhenyu XIA1,2, Juboxi WANG1,2, Kun LI1,2, Xuan JIA1,2   

  1. 1. School of Aeronautics,Northwestern Polytechnical University,Xi’an 710072,China
    2. National Key Laboratory of Aircraft Configuration Design,Xi’an 710072,China
  • Received:2025-03-10 Online:2026-03-25 Published:2026-04-13
  • Contact: Shuhui BU

Abstract:

To address the issues of insufficient robustness in refueling drogue detection and low relative positioning accuracy in autonomous aerial refueling missions, a near-infrared vision-based method for refueling drogue detection and localization is proposed. Eight near-infrared light emitting diodes are installed on the refueling drogue as feature points, while a camera equipped with a near-infrared filter is deployed on the receiver aircraft as the vision system. Firstly, the captured images of the refueling drogue are preprocessed to extract connected regions. Secondly, a shape prior-driven neighborhood search method is proposed, integrating deep learning approaches for drogue position tracking prediction and elliptical feature fitting. Finally, the relative pose is calculated using the perspective-n-point algorithm, followed by fusion filtering processing. Experimental results demonstrate that the proposed method achieves high detection success rate, efficiency, and relative positioning accuracy, showing promising application prospects in practical aerial refueling missions.

Key words: autonomous aerial refueling, visual positioning, near-infrared, refueling drogue detection, ellipse fitting

CLC Number: 

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