Path Planning in Complex 3D Environments Using a Probabilistic Roadmap Method-Reference-Cited by-同舟云学术

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Path Planning in Complex 3D Environments Using a Probabilistic Roadmap Method

Published:2013-12 Issue:6 Volume:10 Page:525-533
ISSN:1476-8186
Container-title:International Journal of Automation and Computing
language:en
Short-container-title:Int. J. Autom. Comput.

Author:

Yan Fei,Liu Yi-Sha,Xiao Ji-Zhong

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11633-013-0750-9.pdf

Reference33 articles.

1. J. Moore. UAV Fire-fighting System, U.S. Patent 20130134254 A1, May 2013.

2. M. B. Wang, A. Chu, L. A. Bush,. C. Williams. Active detection of drivable surfaces in support of robotic disaster relief missions. In Proceedings of Aerospace Conference, IEEE, Big Sky, MT, USA, pp. 1–13, 2013.

3. D. Erdos, A. Erdos, S. E. Vatkins. An experimental UAV system for search and rescue challenge. IEEE Aerospace and Electronic Systems Magazine, vol. 28, no. 5, pp. 32–37, 2013.

4. S. Q. Zhu, D. W. Wang, C. B. Low. Ground target tracking using UAV with input constraints. Journal of Intelligent & Robotic Systems, vol. 69, no. 1-4, pp. 417–429, 2013.

5. Y. G. Fu, M. Y. Ding, C. P. Zhou. Phase angle-encoded and quantum-behaved particle swarm optimization applied to three-dimensional route planning for UAV. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol. 42, no.2, pp. 511–526, 2012.

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