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Recent Advances in Electrical & Electronic Engineering

Author(s): Ping Wang*, Xianquan Luo and Lv Junwei

DOI: 10.2174/2352096515666220621100306

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Research on Real-time and High-precision Positioning Method of Ground Target through UAV Stereo Vision and Spatial Information Fusion

Page: [211 - 223] Pages: 13

  • * (Excluding Mailing and Handling)

Abstract

Background: Positioning accuracy is the most important index of the reconnaissance positioning system. Positioning accuracy involves many factors, such as the position, attitude and motion state of the flight platform, the pointing accuracy of the stable platform, and various coordinate transformations. A reasonable fusion strategy can guarantee stable positioning accuracy, so it is very important to study the precise fusion of machine vision, 3D geographic data and UAV airborne positioning information to realize the optimal combination of positioning data and complete the accurate and rapid positioning of the ground target.

Methods: In this paper, a location model based on stereo vision and spatial information fusion method is proposed. It fully integrates visual information, satellite positioning information and spatial geographic information, greatly improves positioning accuracy, and through a real-time processing algorithm, significantly improves real-time positioning.

Results: Through the related experiments, positioning accuracy and real-time ability of positioning could reach about three meters.

Conclusion: The proposed real-time and high-precision positioning method of the ground target through UAV stereo vision and spatial information fusion is proposed showing significant improvement compared to other traditional methods.

Keywords: Real-time, High-precision, Positioning Method, Stereo Vision, Spatial Information Fusion, UAV

Graphical Abstract

[1]
F. Morbidi, and G.L. Mariottini, "Active target tracking and cooperative localization forteams of aerial vehicles", IEEE Trans. Control Syst. Technol., vol. 21, no. 5, pp. 194-177, 2013.
[http://dx.doi.org/10.1109/TCST.2012.2221092]
[2]
G.J. Toussaint, P. De Lima, and D.J. Pack, "Localizing RF targets with cooperative UAV", In Proceedings of 2007 American Control Conference Marriott Marquis Hotel at Times square, 09-13 July, 2007, New York City, 2007, pp. 5928-5933
[3]
S. Baker, D. Scharstein, J. Lewis S. Roth, M.J. Black, and R. Szeliski, "A database and evaluation methodology for optical flow", Int. J. Comput. Vis., vol. 92, no. 1, pp. 1-31, 2011.
[http://dx.doi.org/10.1007/s11263-010-0390-2]
[4]
P. Weinzaepfel, J. Revaud, Z. Harchaoui, and C. Schmid, "Deepflow: Large displacement optical flow with deep matching", In Proceedings of the IEEE International Conference on Computer Vision, 2013, pp. 1385-1392.
[http://dx.doi.org/10.1109/ICCV.2013.175]
[5]
A. Kushal, and S. Agarwal, "Visibility based preconditioning for bundle adjustment", In In 2012 IEEE Conference on. Computer Vision and Pattern Recognition (CVPR), 2012, pp. 1442-1449
[http://dx.doi.org/10.1109/CVPR.2012.6247832]
[6]
Y. Jeong, D. Nistér, D. Steedly, R. Szeliski, and I.S. Kweon, "Pushing the envelope of modern methods for bundle adjustment", IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 8, pp. 1605-1617, 2012.
[http://dx.doi.org/10.1109/TPAMI.2011.256] [PMID: 22745002]
[7]
X. Cheng, and D. Huang, "Multi target location algorithm based on photoelectric measurement platform", J. Cent. South Univ., vol. 46, no. 1, pp. 175-163, 2015.
[8]
Z. Bao, J. Yao, and L. Gao, "Research on Airborne GPS measurement and positioning technology", Opt. Precis. Eng., vol. 17, no. 1, pp. 123-128, 2009.
[9]
K. Han, and G.N. De Sou, "Multiple targets geo-location using SIFT and stereo vision on airborne video sequences", In 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 10-15 Oct, 2009, St. Louis, MO, USA, 2009, pp. 5327-5332
[10]
J. Xin, S. Yang, and Z. Zhang, "Methods of improving position in accuracy of UAV images with POS data", Remote Sens. Inform., vol. 34, no. 4, pp. 92-96, 2019.
[11]
H. Pan, J. Xu, and J. Li, "Research and implementation of Multi Size aerial image location method based on CNN", J. Beijing Uni. Aeron. Astron., vol. 45, no. 11, pp. 2170-2176, 2019.
[12]
M. Junjie, D. Huang, and W. Jinmeng, "Target of interest location based on Cooperative UAV", Comput. Meas. Control, vol. 28, no. 4, pp. 176-180, 2020.
[13]
Y. Qu, and Z. Feng, "Cooperative target location method for multiple UAVs based on distance measurement", J. Northwest Uni. Technol., pp. 266-272, 2019.
[14]
D. Tang, X.Y. Liu, and W. Deng, "“Small UAV Based on iterative unscented Kalman filter Methods of target location”, Comm. Contr", Simu-lat., vol. 41, no. 1, pp. 104-108, 2019.
[15]
J. Gao, X. Hao, and J. Chao, "An algorithm for UAV to locate ground targets", Electron. Eng., vol. 35, no. 6, pp. 47-50, 2015.
[16]
W. Yanmei, L. Gang, and Z. Xia, "Design of real time target locator for UAV optical reconnaissance system", Electro Opt. Control, vol. 15, no. 11, pp. 47-49, 2008.
[17]
S. Chao, D. Jiyan, and D. lianfei, "A positioning method for space two-point rendezvous UAV Dynamic",, vol. 30, no. 6, pp. 35-36, 2011.
[18]
Y. Xin, "Research on the method of improving target positioning accuracy of UAV", Ship Electron. Eng., vol. 31, no. 10, pp. 56-59, 2011.
[19]
J. Dan, G. Ma, and S. Jiang, "Research on battlefield target reconnaissance and positioning technology based on DEM", Opt. Technol., vol. 34, no. 1, pp. 100-104, 2008.
[20]
D. Marr, Vision: A Computational Investigation into the Human Representation and Processing of Visual Information., W H Freeman: San Francisco, CA, 1982, pp. 11-12.
[21]
S.T. Barnard, and M.A. Fischler, "Computational stereo", ACM Comput. Surv., vol. 14, no. 4, pp. 553-572, 1982.
[http://dx.doi.org/10.1145/356893.356896]
[22]
U.R. Dhond, and J.K. Aggarwal, "Structure from stereo-A review", IEEE Trans. Syst. Man Cybern., vol. 19, no. 6, pp. 1489-1510, 1989.
[http://dx.doi.org/10.1109/21.44067]
[23]
O. Faugeras, "What can be seen in three dimensions with an uncalibrated stereo rig", In Proceeding of the 2nd European Conference on Computer Vision, Santa Margherita Ligur, 1992, pp. 563-578
[http://dx.doi.org/10.1007/3-540-55426-2_61]
[24]
D. Scharstein, and R. Szeliski, "A taxonomy and evaluation of dense two-frame stereo correspondence algorithms", Int. J. Comput. Vis., vol. 47, no. 1, pp. 7-42, 2002.
[http://dx.doi.org/10.1023/A:1014573219977]
[25]
M.Z. Brown, D. Burschka, and G.D. Hager, "Advances in computational stereo", IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 8, pp. 993-1008, 2003.
[http://dx.doi.org/10.1109/TPAMI.2003.1217603]