Unmanned Aerial Vehicle Perception System Following Visual Cognition Invariance Mechanism

被引:4
作者
Zhang, Qirui [1 ]
Wei, Ruixuan [1 ]
机构
[1] Air Force Engn Univ, Grad Sch, Xian 710038, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Unmanned aerial vehicles; hybrid intelligent systems; object recognition; visual cognition; ATTENTION;
D O I
10.1109/ACCESS.2019.2909098
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Humans have a fundamental ability that is fulfilling visual perception with complex brain functions, while intelligent sensors onboard UAVs do not have. The difficulties mainly lie in the inexhaustive study of brain science and the homologous mathematical description. In this paper, a visual cognition invariance mechanism has been proposed, which first review studies in brain research, moving from theoretical to practical. These terms are then reconsidered from brain pathways of visual perception. Next, a conceptual model of visual cognition invariance mechanism is proposed and the mathematical deduction is fulfilled. Furthermore, an experimental unmanned aerial vehicle is built to practically implement the proposed algorithm. The simulation results and experimental practices have validated the effectiveness and celerity of our method. Finally, a general discussion and proposals for addressing future issues are given.
引用
收藏
页码:45951 / 45960
页数:10
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