Intelligent mobile object monitoring by unmanned aerial vehicles

被引：4
|
作者：
Knyaz, Vladimir [1 ]
Zheltov, Sergey [1 ]
Lebedev, Georgy [2 ]
Mikhailin, Denis [2 ]
Goncharenko, Vladimir [2 ]
机构：
[1] Moscow Inst Phys & Technol, State Res Inst Aviat Syst, Machine Vis Dept, Moscow, Russia
[2] Moscow Inst Aviat Technol, Control Syst Dept, Moscow, Russia
来源：
PROCEEDINGS OF 18TH INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES (IEEE EUROCON 2019) | 2019年
基金：
俄罗斯基础研究基金会;
关键词：
Mission planning; genetic algorithm; object recognition; convolutional neural network; unmanned aerial vehicle; fuzzy logic;
D O I：
10.1109/EUROCON.2019.8861575
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The progress in technical characteristics of unmanned aerial vehicles (UAV) creates a background for their expanding use in applications where human capabilities are limited. Such applications as object monitoring in hard-to-get environment, extremal sport rally, rescue operation, require object surveillance in large regions and complex conditions. To provide high level of UAV autonomy three tasks should be solved: intelligent mission planning, object recognition and on the fly mission modifying according to changing conditions. The paper presents algorithms for these tasks based on artificial intelligence techniques.
引用
收藏
页数：6
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