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

Abstract:

Article Preview

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.

Info:

Periodical:

Edited by:

Guohui Yang

Pages:

556-561

Citation:

T. Deng et al., "Research on 3D Route Planning for UAV in Low-Altitude Penetration Based on Improved Ant Colony Algorithm", Applied Mechanics and Materials, Vol. 442, pp. 556-561, 2014

Online since:

October 2013

Export:

Price:

$38.00

* - Corresponding Author

[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.

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

DOI: https://doi.org/10.1023/b:visi.0000029664.99615.94

[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.

[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: https://doi.org/10.1109/tip.2003.811497

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

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