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Proceedings Paper

Research on a UAV path planning method for ground observation based on threat sources
Author(s): Hao Yan; Xing Fan; Xuezhi Xia; Linshu Lin
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Paper Abstract

The path planning method is one of the main research directions in current UAV(unmanned aerial vehicle) technologies. In this paper we perform analyses on the adversarial environment which may be broken through during the UAV mission for ground observation, and carry out the grade classification according to the threat level. On the basis of genetic algorithm, the encoding method of dimension reduction and direct quantization is used to combine the threat value of each leg with the flight distance, so as to construct the fitness evaluation function based on the threat amount and design the algorithm. This method is proven to be able to converge effectively and quickly via the simulation experiments, which meet the threat restriction and applicability of UAV in route planning.

Paper Details

Date Published: 29 December 2008
PDF: 7 pages
Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728536 (29 December 2008); doi: 10.1117/12.815596
Show Author Affiliations
Hao Yan, Wuhan Digital Engineering Institute (China)
Xing Fan, Wuhan Digital Engineering Institute (China)
Xuezhi Xia, Wuhan Digital Engineering Institute (China)
Linshu Lin, China Ship Development and Design Ctr. (China)

Published in SPIE Proceedings Vol. 7285:
International Conference on Earth Observation Data Processing and Analysis (ICEODPA)
Deren Li; Jianya Gong; Huayi Wu, Editor(s)

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