@inbook{5e31f3c1645140978fe5264eac7768df,
title = "Human-UAV coordinated flight path planning of UAV low-altitude penetration on pop-up threats",
abstract = "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{\textquoteright}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.",
keywords = "Flight path planning, Human-UAV coordinated, Low-altitude penetration, Pop-up threats",
author = "Peng Ren and Gao, {Xiao Guang} and Jun Chen",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2014.",
year = "2014",
doi = "10.1007/978-3-662-45261-5_58",
language = "英语",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "552--561",
editor = "Minrui Fei and Yang Song and Chen Peng and Zhou Su and Zhou Su and Yang Song and Qinglong Han",
booktitle = "Computational Intelligence, Networked Systems and Their Applications - International Conference of Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings",
}