Abstract
In the probe-and-drogue refueling system, pilots need to operate carefully to dock probe with drogue, autonomous aerial refueling technology can assistant pilots to accomplish this operation. In this paper, we proposed a novel framework to measure pose of drogue via monocular vision, pose information of drogue can further lead control system accomplish aerial refueling automatically. This framework is consisted of three parts: detecting landmarks of drogue, locating contour of drogue in image, figuring out pose of drogue. Experiment results indicate that this pose measurement system is both accurate and efficient.
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References
Doebbler, J.: Boom and receptacle autonomous air refueling using a visual pressure snake optical sensor. J. Guid. Control Dyn. 30(6), 1753–1769 (2007)
Mammarella, M., Campa, G., Napolitano, M.R., Fravolini, M.L., Gu, Y., Perhinschi, M.G.: Machine Vision/GPS integration using EKF for the UAV aerial refueling problem. IEEE Trans. Syst. Man Cybern. 38(6), 791–801 (2008)
Campa, G., Fravolini, M.L., Ficola, A., et al.: Autonomous aerial refueling for UAVs using a combined GPS-machine vision guidance. In: AIAA Guidance, Navigation, and Control Conference and Exhibit (2004)
Song, C.H., Zhao, J.T., Liu, H.C., et al.: Relative position calculation based on near-infrared for autonomous aerial refueling. Power Electron. 47(1), 41–43 (2013)
Chen, C.: Drogue tracking using 3D flash lidar for autonomous aerial refueling. In: Proceedings of SPIE - The International Society for Optical Engineering, vol. 8037(1), pp. 2362–2375 (2011)
Kimmett, J., Valasek, J., Junkins, J.: Autonomous aerial refueling utilizing a vision based navigation system. In: AIAA Guidance, Navigation, and Control Conference and Exhibit. (2013)
Yin, Y., Xu, D., Wang, X., et al.: Detection and tracking strategies for autonomous aerial refueling tasks based on monocular vision. Int. J. Adv. Rob. Syst. 11(4), 399–412 (2014)
Martinez, C., Richardson, T., Thomas, P., du Bois, J.L., Campoy, P.: A vision-based strategy for autonomous aerial refueling tasks. Robot. Auton. Syst. 61(8), 876–895 (2013)
尹英杰. 自主空中加油的目标视觉检测与跟踪策略研究. 中国科学院大学 (2016)
Cootes, T.F., Taylor, C.J., Cooper, D.H., et al.: Active shape models—their training and application. Comput. Vis. Image Underst. 61(1), 38–59 (1995)
Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active appearance models. IEEE Trans. Pattern Anal. Mach. Intell. 23(6), 681–685 (2001)
Sun, Y., Wang, X., Tang, X.: Deep convolutional network cascade for facial point detection. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3476–3483 (2013)
Chen, Z., Huang, J.B.: A vision-based method for the circle pose determination with a direct geometric interpretation. IEEE Trans. Robot. Autom. 15(6), 1135–1140 (2000)
Ren, S., Cao, X., Wei, Y., et al.: Face Alignment at 3000 FPS via regressing local binary features. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1685–1692 (2014)
Acknowledgment
This work is supported by National Natural Science Foundation (Grant No. 61573349), National Natural Science Foundation—Outstanding Youth Foundation (Grant No. 5140051852) and The National High Technology Research and Development Program of China (863 Program) (Grant No. 2015AA042308).
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Ye, Y., Yin, Y., Wu, W., Wang, X., Zhang, Z., Qian, C. (2018). Pose Measurement of Drogue via Monocular Vision for Autonomous Aerial Refueling. In: Wang, Y., et al. Advances in Image and Graphics Technologies. IGTA 2017. Communications in Computer and Information Science, vol 757. Springer, Singapore. https://doi.org/10.1007/978-981-10-7389-2_11
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DOI: https://doi.org/10.1007/978-981-10-7389-2_11
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