Effects of Augmented Reality Markers for Networked Robot Navigation

被引：0

作者：

Ogata, Masato ^{[1
]}

Inoue, Masato ^{[1
]}

Izumi, Kiyotaka ^{[2
]}

Tsujimura, Takeshi ^{[2
]}

机构：

[1] Saga Univ, Grad Sch Sci & Engn, Saga, Japan

[2] Saga Univ, Dept Mech Syst Engn, Saga, Japan

来源：

ADVANCES IN INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS (INCOS-2021) | 2022年 / 312卷

关键词：

D O I：

10.1007/978-3-030-84910-8_2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The authors have studied augmented reality techniques applied to a support robot navigation system. It helps care recipients to remotely control robots for themselves with simple commands through a communication network. This paper focuses on the identification and geometrical measurement of planar markers with mosaic patterns. Experiments reveal that the identification rate as well as measurement accuracy is related to feature points of the pattern. They also clarify that there is a positive correlation between the number of feature points and the accuracy of marker recognition. This research project also proposes the optimum AR markers for networked welfare robot navigation.

引用

页码：11 / 22

页数：12

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