Neural-network-based Path Planning Optimization

DOI

10.2991/ifmeita-17.2018.31How to use a DOI?

Keywords

Unmanned Aerial Vehicle(UAV), Path Planning Optimization, Neural-network

Abstract

In this paper some Unmanned Aerial Vehicles are equipped with a fixed camera to conduct surveillance operations, the route planning method are presented using neural network method. The simulation results are presented to demonstrate the performance and computational efficiency of the method. As neutral network approximation does not require analytic derivatives, speed could be further enhanced, it could be quite useful for real -time optimization control.

Copyright

© 2018, 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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TY  - CONF
AU  - Huamin Zhang
AU  - Hua Che
AU  - Di Chen
PY  - 2018/02
DA  - 2018/02
TI  - Neural-network-based Path Planning Optimization
BT  - Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
PB  - Atlantis Press
SP  - 181
EP  - 184
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-17.2018.31
DO  - 10.2991/ifmeita-17.2018.31
ID  - Zhang2018/02
ER  -