Convolution Neural Network Based Autonomous Navigation System for Mobile Robots

被引：0
|
作者：
Semencha, Veronica E. [1 ]
Skripnik, Tatiana N. [1 ]
机构：
[1] St Petersburg State Marine Tech Univ, Dept Marine Elect, St Petersburg, Russia
来源：
PROCEEDINGS OF THE 2019 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (EICONRUS) | 2019年
关键词：
microprocessor control; mini robots; convolution neural network; navigation system;
D O I：
10.1109/eiconrus.2019.8657042
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 article discusses trends in the development of autonomous navigation systems for managing autonomous robots. An autonomous navigation system based on convolutional networks is considered. The problems associated with the miniature size of robots are taken into account. The problems of the relationship between energy efficiency and the required computing power of autonomous navigation systems for such robots are also considered.
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页码：331 / 334
页数：4
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