Autonomous Mobile Robot Self-Localization Based on Environmental Visual Features

被引：0

作者：

Jafar, Fairul Azni ^{[1
]}

Suzuki, Yasunori ^{[1
]}

Yokota, Kazutaka ^{[2
]}

Matsuoka, Takeshi ^{[2
]}

机构：

[1] Utsunomiya Univ, Grad Sch Engn, Utsunomiya, Tochigi, Japan

[2] Utsunomiya Univ, Grad Sch Engn, Res Div Design & Eng Sustainabil, Utsunomiya, Tochigi, Japan

来源：

PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOTS AND AGENTS | 2009年

关键词：

Autonomous Mobile Robot; Self-Localization; Visual Features; Robot Vision;

D O I：

暂无

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

This paper presents a robust robot self-localization method where robot will identify its own position based on visual appearance features in the environment. Many research studies have been conducted on the navigation method for the autonomous mobile robot, and introduced precise and accurate robot self-localization methods. However, we believe that in some situation, it is not necessary for a robot to precisely and accurately identify and measure its own position. In our proposed method, the robot does not have to measure its own position precisely but depends only on the visual features which could be extracted from the environment. Experimental results demonstrate the effectiveness of our proposed method.

引用

页码：156 / +

页数：2

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