DocumentCode :
39699
Title :
Biological eagle-eye - Based visual imaging guidance simulation platform for unmanned flying vehicles
Author :
Duan, Haibin ; Deng, Yimin ; Wang, Xiaohua ; Liu, Fang
Author_Institution :
Beihang University (BUAA), Beijing, People´s Republic of China
Volume :
28
Issue :
12
fYear :
2013
fDate :
Dec. 2013
Firstpage :
36
Lastpage :
45
Abstract :
An unmanned fying vehicle (UFV) is generally used to search for and track an adversary and even designed to go down with the adversary´s vehicle under the extreme conditions of modern wars [1]. The precision of a UFV´s electromagnetic sensors generally infuences the accuracy of its guidance. To improve the accuracy of the UFV´s guidance system, advanced guidance technologies based on bionic vision have been studied in recent years. Some developments based on bioinspired intelligence [2], [3] have also been investigated for aerial systems. Bionic vision, such as that inspired by the vision of Limulus species (i.e., horseshoe crabs), fruit fies, birds, and humans [4], has become a hot research feld, and some of these new technologies have been applied to missile homing guidance.
Keywords :
Aircraft navigation; Aircraft tracking; Electromagnetic measurements; Precision engineering; Sensors; Tracking; Unmanned aerial vehicles; Visual systems;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems Magazine, IEEE
Publisher :
ieee
ISSN :
0885-8985
Type :
jour
DOI :
10.1109/MAES.2013.6693667
Filename :
6693667
Link To Document :
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