Title :
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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053593
