Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering

UAV Path Planning Based on Split Method

Authors
Zhi-Ming Gu, Wen-Ming Gao, Xu-Sheng Gan
Corresponding Author
Zhi-Ming Gu
Available Online December 2015.
DOI
10.2991/nceece-15.2016.148How to use a DOI?
Keywords
UAV; Ant Colony Algorithm; Path Planning; Split Method
Abstract

Path planning technology is the precondition of unmanned aerial vehicle (UAV) airspace safety. For in the running features of the UAV in 3-D space environment, putting forward using fight level (FL) guiding factor to improve the basic ant colony optimization(ACO), which improved the quality and the operation efficiency of path planning; In view of the ACO which easily fell into local optimum in huge space, putting forward using split method to make the improved ACO have a better effect in huge path planning problem; Through simulation experiments, the basic algorithm and improved algorithm and split method were analyzed, the results show that the improved algorithm has a good 3-D path planning ability.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
10.2991/nceece-15.2016.148
ISSN
2352-5401
DOI
10.2991/nceece-15.2016.148How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhi-Ming Gu
AU  - Wen-Ming Gao
AU  - Xu-Sheng Gan
PY  - 2015/12
DA  - 2015/12
TI  - UAV Path Planning Based on Split Method
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 804
EP  - 808
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.148
DO  - 10.2991/nceece-15.2016.148
ID  - Gu2015/12
ER  -