Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)

Architecture Design for Unmanned Aerial Vehicle Mission Planning System

Authors
Xiaopeng Ji, Yanjie Zhao
Corresponding Author
Xiaopeng Ji
Available Online August 2019.
DOI
10.2991/msbda-19.2019.66How to use a DOI?
Keywords
Unmanned aerial vehicle (UAV), Mission planning system (MPS), Data management, Resource allocation
Abstract

Unmanned aerial vehicle (UAV) mission planning system (MPS) refers to assigning missions to each UAV according to the missions to be accomplished, the number of UAVs and the different mission payloads, and making flight routes through route planning technology. In this paper, starting from the concept of UAV mission planning, the information requirement environment and construction requirement of UAV mission planning system is analyzed. Then the basic architecture and modular design of UAV mission planning is summarized. At last, the problems of UAV mission planning and the development trend of UAV mission planning system is discussed.

Copyright
© 2019, 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 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
Series
Advances in Computer Science Research
Publication Date
August 2019
ISBN
10.2991/msbda-19.2019.66
ISSN
2352-538X
DOI
10.2991/msbda-19.2019.66How to use a DOI?
Copyright
© 2019, 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  - Xiaopeng Ji
AU  - Yanjie Zhao
PY  - 2019/08
DA  - 2019/08
TI  - Architecture Design for Unmanned Aerial Vehicle Mission Planning System
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
PB  - Atlantis Press
SP  - 419
EP  - 424
SN  - 2352-538X
UR  - https://doi.org/10.2991/msbda-19.2019.66
DO  - 10.2991/msbda-19.2019.66
ID  - Ji2019/08
ER  -