Application of Deep Learning Methods for Trajectory Planning Based on Image Information

被引：1

作者：

Babiarz, Artur ^{[1
]}

Kustra, Malgorzata ^{[1
]}

Wen, Shuhuan ^{[2
,3
]}

机构：

[1] Silesian Tech Univ, Dept Automat Control & Robot, Akad 16 St, PL-44100 Gliwice, Poland

[2] Yanshan Univ, Minist Educ Intelligent Control Syst & Intelligent, Res Ctr, Dept Engn, Qinhuangdao, Peoples R China

[3] Yanshan Univ, Key Lab Ind Comp Control Engn Hebei Prov, Qinhuangdao, Peoples R China

来源：

ADVANCES IN SCIENCE AND TECHNOLOGY-RESEARCH JOURNAL | 2024年 / 18卷 / 06期

关键词：

mobile robot; deep learning; image; neural network;

D O I：

10.12913/22998624/191924

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This work aims to develop a mobile robot utilizing neural network technology. The algorithm, programmed in Python on a Raspberry Pi 4B platform, is detailed across four main chapters. These chapters cover the fundamental assumptions of deep learning, the construction of the platform, and the research validating pattern recognition accuracy under various disturbances. The mobile platform employs a neural network to analyze selected traffic signs and translates the recognized patterns into corresponding motor movements.

引用

页码：247 / 258

页数：12

共 19 条

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