Design of positioning system for indoor mobile multi-robot platform based on image features

Author

Guo-sheng Wang ; Fan Xia ; Feng Guo ; Qiang Lv

Author_Institution

Dept. of Control Eng., Acad. of Armored Forces Eng., Beijing, China

fYear

2014

Firstpage

5158

Lastpage

5163

Abstract

A design problem of positioning system for indoor mobile multi-robot platform is investigated in this paper. Based on knowledge of image features, color features and shape features are used to distinguish indoor targets and obtain the positions of mobile multi-targets. The image processing library OpenCV and Microsoft Foundation Classes multithreading technology are used to extract image features of robot mark. By extracting image features of robot mark, a design method of positioning system for indoor multi-mobile robot platform is proposed. Finally, an experiment and its results of four indoor robots show that the proposed design method of positioning system for indoor multi-mobile robot platform is effective.

Keywords

feature extraction; image colour analysis; mobile robots; multi-robot systems; multi-threading; position control; robot vision; Microsoft Foundation Classes multithreading technology; OpenCV; color features; design problem; image feature extraction; image features; image processing library; indoor mobile multirobot platform; indoor multimobile robot platform; positioning system; robot mark; shape features; Design methodology; Feature extraction; Global Positioning System; Indexes; Mobile communication; Multithreading; Robots; OpenCV; image features; multi-mobile robot; multithreading technology; position;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2014 11th World Congress on

Type

conf

DOI

10.1109/WCICA.2014.7053593

Filename

7053593