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Vision system for group of mobile robots

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

16 Citations (Scopus)

Abstract

A vision system for group of small mobile robots playing soccer is presented. The whole process of extracting vision information from input images is discussed in detail. The method for correcting radial distortion introduced to the image by camera's lens is presented, then simple adaptive background subtraction algorithm is described. Next, classical flood fill algorithm is presented together with novel optimization giving better results and shorter calculation time. Later, novel method for calculating object's orientation, based on the geometrical moments and special shape of color markers on top of each robot, is presented. Then, the color classifier based on the histogram intersection kernel is discussed. Design of the vision system as a central server providing vision information to many clients simultaneously is presented. Experimental results obtained with use of the algorithm presented are also provided

Original languageEnglish
Title of host publicationVision Based Systems for UAV Applications
EditorsAleksander Nawrat, Aleksander Nawrat, Zygmunt Kus
Pages139-156
Number of pages18
DOIs
Publication statusPublished - 2013

Publication series

NameStudies in Computational Intelligence
Volume481
ISSN (Print)1860-949X

ASJC Scopus subject areas

  • Artificial Intelligence

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