Research on 3D Route Planning for UAV in Low-Altitude Penetration Based on Improved Ant Colony Algorithm

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It has discussed the approach to establish the models of terrain, threat and the evaluation of route cost in the route planning for UAV in low-altitude penetration. An Ant Algorithm is introduced into UAV route planning, since stagnation may appear during searching in use of traditional ant colonies algorithm,this paper introduces yaw angle to improve heuristic information, establishes the prior search set, makes ant colony algorithm the more rapid and effective search to the best route, simulation results prove the efficiency of the planning method.

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556-561

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October 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] LI Deren, HU Qingwu.Digital Measurable Image Based Geo-spatial Information Service [J].Geomatics and Information Science of Wuhan University,2007, 32(5): 377-380.

Google Scholar

[2] David G. Lowe, Distinctive image features from scale-invariant keypoints, International Journal of Computer Vision, 60, 2 (2004), pp.91-110.

DOI: 10.1023/b:visi.0000029664.99615.94

Google Scholar

[3] LIANG Yun-xing, CUI Du-wu.Research on Pretreatment Algorithm in Image Mosaic [J].Journal of Xi'an University of Technology,2003,19(4):348~351.

Google Scholar

[4] Candoeia F M.Jointly registering images in domain and range by piecewise linear comparametric analysis[J].IEEE Transaction Image Processing,2003,12(4):409~419.

DOI: 10.1109/tip.2003.811497

Google Scholar

[5] TANG Jin, GU Shiwen, FEI Yaoping.A Mapping of Omnidirectional Images [J].COMPUTER ENGINEERING,2000,26(8): 95-97.

Google Scholar

[6] X. R Li and Z. Y. Hu, Rejecting Mismatches by Correspondence Function, International Journal of Computer Vision, 2010, 89: 1–17.

Google Scholar