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All issues Volume 40 / No 4 (August 2022) JNWPU, 40 4 (2022) 787-795 References
Open Access
Issue
JNWPU
Volume 40, Number 4, August 2022
Page(s) 787 - 795
DOI https://doi.org/10.1051/jnwpu/20224040787
Published online 30 September 2022
  1. GATES W R, MCCARTHY M J. United states marine corps aerial refueling requirements analysis[C]//Proceedings of the 2000 Winter Simulation Conference Proceedings, 2000 [Google Scholar]
  2. KIMMETT J, VALASEK J, JUNKINS J L. Vision based controller for autonomous aerial refueling[C]//Proceedings of the International Conference on Control Applications, 2002 [Google Scholar]
  3. WU C, YAN J, HE S, et al. Efficient power design of multi-core DSP TMS320C6678 applied in autonomous aerial refueling system[C]//Proceedings of the 2018 IEEE CSAA Guidance, Navigation and Control Conference, 2018 [Google Scholar]
  4. POLLINI L, CAMPA G, GIULIETTI F, et al. Virtual simulation set-up for UAVS aerial refuelling[C]//AIAA Modeling and Simulation Technologies Conference and Exhibit, 2003 [Google Scholar]
  5. QUAN Quan, WEI Zibo, GAO Jun, et al. A survey on modeling and control problems for probe and drogue autonomous aerial refueling at docking stage[J]. Acta Aeronautica et Astronautica Sinica, 2014, 35(9): 2390–2410 [Article] (in Chinese) [Google Scholar]
  6. LIU Z, LIU J, HE W. Dynamic modeling and vibration control of a flexible aerial refueling hose[J]. Aerospace Science and Technology, 2016, 55: 92–102 [Article] [CrossRef] [Google Scholar]
  7. SALEHI PANIAGUA K, GARCÍA-FOGEDA P, ARÉVALO F, et al. Aeroelastic analysis of an air-to-air refueling hose-drogue system through an efficient novel mathematical model[J]. Journal of Fluids and Structures, 2021, 100: 103164[Article] [CrossRef] [Google Scholar]
  8. DALAL N, TRIGGS B. Histograms of oriented gradients for human detection[C]//Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005 [Google Scholar]
  9. LOWE D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91–110 [Article] [CrossRef] [Google Scholar]
  10. MCCULLOCH W S, PITTS W. A logical calculus of the ideas immanent in nervous activity[J]. The Bulletin of Mathematical Biophysics, 1988, 5: 115–133 [Google Scholar]
  11. KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet classification with deep convolutional neural networks[C]//Proceedings of the 25th International Conference on Neural Information Processing Systems, 2012 [Google Scholar]
  12. CHEN A, XIE Y, WANG Y, et al. Knowledge graph-based image recognition transfer learning method for on-orbit service manipulation[J]. Space: Science and Technology, 2021(1): 165–172 [Google Scholar]
  13. GIRSHICK R, DONAHUE J, DARRELL T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]//Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014 [Google Scholar]
  14. GIRSHICK R. Fast R-CNN[C]//Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015 [Google Scholar]
  15. REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: unified, real-time object detection[C]//Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016 [Google Scholar]
  16. LIU W, ANGUELOV D, ERHAN D, et al. SSD: single shot multibox detector[C]//European Conference on Computer Vision, Cham, 2016 [Google Scholar]
  17. REDMON J, FARHADI A. YOLOv3: an incremental improvement[C]//IEEE Conferenlg on Lomputer Vision and Pattern Relognition, 2018 [Google Scholar]
  18. WANG R, LIANG C, PAN D, et al. Research on a visual servo method of a manipulator based on velocity feedforward[J], Space: Science & Technology, 2021(1): 119–126 [Google Scholar]
  19. LI Zhu. Binocular-vision-based docking navigation method for UAV self-refueling[D]. Xiamen: Xiamen University, 2017 (in Chinese) [Google Scholar]
  20. XU X, DUAN H, GUO Y, et al. A cascade adaboost and CNN algorithm for drogue detection in UAV autonomous aerial refueling[J]. Neurocomputing, 2020, 408: 121–134 [Article] [CrossRef] [Google Scholar]
  21. ARTHUR D, VASSILVITSKⅡ S. k-means++: the advantages of careful seeding[C]//Proceedings of the eighteenth annual ACM-SIAM Symposium on Discrete Algorithms, New Orleans, 2007 [Google Scholar]
  22. REZATOFIGHI H, TSOI N, GWAK J, et al. Generalized intersection over union: a metric and a loss for bounding box regression[C]//Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019 [Google Scholar]
  23. SZEGEDY C, VANHOUCKE V, IOFFE S, et al. Rethinking the inception architecture for computer vision[C]//Proceeding of the Conference on Computer Vision and Pattern Recognition, 2016 [Google Scholar]

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