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Proceedings Paper

The path planning of UAV based on orthogonal particle swarm optimization
Author(s): Xin Liu; Haiguang Wei; Chengping Zhou; Shujing Li
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Paper Abstract

To ensure the attack mission success rate, a trajectory with high survivability and accepted path length and multiple paths with different attack angles must be planned. This paper proposes a novel path planning algorithm based on orthogonal particle swarm optimization, which divides population individual and speed vector into independent orthogonal parts, velocity and individual part update independently, this improvement advances optimization effect of traditional particle swarm optimization in the field of path planning, multiple paths are produced by setting different attacking angles, this method is simulated on electronic chart, the simulation result shows the effect of this method.

Paper Details

Date Published: 26 October 2013
PDF: 9 pages
Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 89210X (26 October 2013); doi: 10.1117/12.2030267
Show Author Affiliations
Xin Liu, Jiangsu Automation Research Institute (China)
Haiguang Wei, Huazhong Univ. of Science and Technology (China)
Chengping Zhou, Huazhong Univ. of Science and Technology (China)
Shujing Li, Jiangsu Automation Research Institute (China)


Published in SPIE Proceedings Vol. 8921:
MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Jinwen Tian; Jie Ma, Editor(s)

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