Application Analysis of Deep Convolutional Neural Network in Mobile Robot

Xiaoxue Yang; Xiaogang Shi

doi:10.47297/taposatWSP2633-456908.20220303

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Application Analysis of Deep Convolutional Neural Network in Mobile Robot

3卷第3期

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Application Analysis of Deep Convolutional Neural Network in Mobile Robot
Application Analysis of Deep Convolutional Neural Network in Mobile Robot
1. Jinzhong College of Information, Taigu District, JinZhong City,Shanxi Province,030800
2. Shanxi Yunnei Power Co., Ltd.，Xiangyang Village, Xiangyang Town, Jiancaoping District, Taiyuan City,Shanxi Province,030041
2022年3卷第3期页码：41-45
纸质出版日期： 2022 ，
DOI：10.47297/taposatWSP2633-456908.20220303
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(2022). Application Analysis of Deep Convolutional Neural Network in Mobile Robot. 科技理论与实践（英文版）, 3(3), 41-45.

XIAOXUE YANG & XIAOGANG SHI. (2022). Application Analysis of Deep Convolutional Neural Network in Mobile Robot. Theory and Practice of Science and Technology, 3(3), 41-45..
(2022). Application Analysis of Deep Convolutional Neural Network in Mobile Robot. 科技理论与实践（英文版）, 3(3), 41-45. DOI： 10.47297/taposatWSP2633-456908.20220303.

XIAOXUE YANG & XIAOGANG SHI. (2022). Application Analysis of Deep Convolutional Neural Network in Mobile Robot. Theory and Practice of Science and Technology, 3(3), 41-45.. DOI： 10.47297/taposatWSP2633-456908.20220303.

摘要

Abstract

With the rapid development of science and technology

the design and manufacturing level of mobile robots has improved significantly. Closedloop detection is a very important link in the autonomous navigation and visual positioning of mobile robots. By applying deep convolution neural network to closed-loop detection

the image matching effect can be guaranteed. In this paper

the closed-loop detection technology is introduced firstly

and then the application of deep convolution neural network in mobile robot is studied experimentally.

关键词

Keywords

Mobile robotDeep convolution neural network: Computer vision

references

Li Shaowei, Wang Shengzheng. “Mobile robot positioning algorithm based on recursive convolutional neural network” [J]. Computer Engineering and Application, 2019,55 (10): 5.[2] Guo Guangyu. Mobile robot obstacle avoidance and scene switching recognition based on convolutional neural network [D]. Dalian Jiaotong University, 2019.[3] Hu Tingting. Research on relocation algorithm of mobile robot based on deep learning [D]. Beijing University of Posts and Telecommunications, 2019.

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