Biological Eagle-Eye-Based Visual Imaging Guidance Simulation Platform for Unmanned Flying Vehicles

被引:23
|
作者
Duan, Haibin [1 ]
Deng, Yimin [1 ]
Wang, Xiaohua [1 ]
Liu, Fang [1 ]
机构
[1] Beihang Univ BUAA, State Key Lab Virtual Real Technol & Syst, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
关键词
Unmanned aerial vehicles; Aircraft tracking; Tracking; Aircraft navigation; Electromagnetic measurements; Sensors; Visual systems; Precision engineering; LATERAL INHIBITION; MODEL; ATTENTION; NETWORKS;
D O I
10.1109/MAES.2013.6693667
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
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. © 2013 IEEE.
引用
收藏
页码:36 / 45
页数:10
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