Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

The evadable method of static state threat based on route programming in two-dimensional space

Authors
Chao Dai, Qian He
Corresponding Author
Chao Dai
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.177How to use a DOI?
Keywords
Threat; avoid; two - dimensional space
Abstract

In the case where the static threat a priori position information has been obtained, the threat avoidance of the unmanned combat aircraft can be realized by the pre-route planning method. In this paper, we study the planning method of evading route under the condition of known static threat. According to the threat object of unmanned combat aircraft, the model of threat protection area is established firstly. Then, based on route planning algorithm, the unmanned combat aircraft can avoid the static threat in two-dimensional space.

Copyright
© 2017, 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 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-331-9
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.177How to use a DOI?
Copyright
© 2017, 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  - Chao Dai
AU  - Qian He
PY  - 2017/04
DA  - 2017/04
TI  - The evadable method of static state threat based on route programming in two-dimensional space
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 926
EP  - 929
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.177
DO  - 10.2991/fmsmt-17.2017.177
ID  - Dai2017/04
ER  -