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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Human-UAV Coordinated Flight Path Planning of UAV Low-Altitude Penetration on Pop-Up Threats
verfasst von : Peng Ren, Xiao-guang Gao, Jun Chen
Erschienen in: Computational Intelligence, Networked Systems and Their Applications
Verlag: Springer Berlin Heidelberg
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Human-UAV coordinated flight path planning of UAV low-altitude penetration on pop-up threats is a key technology achieving manned and unmanned aerial vehicles cooperative combat and is proposed in this paper. In the most dangerous environment, human’s wisdom, experience and synthetic judgments can make up for the lack of intelligence algorithm. By using variable length gene encoding based on angle for the flight paths planning, and combining artificial auxiliary decision with novel intelligence algorithm, it makes the best possible use of the human brain to guide solution procedures of the flight path planning on pop-up threats. A lot of simulation studies show that the on-line three-dimensional flight paths by this technology can meet the requirements of UAV low-altitude penetration, efficient implementation of threat avoidance, terrain avoidance and terrain following. This method has a certain practicality.