26 October 2013 The path planning of UAV based on orthogonal particle swarm optimization
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Proceedings Volume 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 89210X (2013) https://doi.org/10.1117/12.2030267
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
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.
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Xin Liu, Xin Liu, Haiguang Wei, Haiguang Wei, Chengping Zhou, Chengping Zhou, Shujing Li, Shujing Li, } "The path planning of UAV based on orthogonal particle swarm optimization", Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 89210X (26 October 2013); doi: 10.1117/12.2030267; https://doi.org/10.1117/12.2030267
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