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- W2107159173 abstract "This paper presents an experimental study on object recognition and self-localization for multiagent robotic soccer. A color image segmentation method based on UV color information of each pixel of the color image is applied to the ball recognition and self-localization of a small mobile robot. First, the lower and higher threshold values of U and V are determined for the sample color markers. Then color image segmentation is performed using the tables that transform each value of U and V in a pixel to membership in several color classes. The position of objects on the field is efficiently and accurately calculated using a monocular camera. Self-localization is accomplished using the distances and orientations of two landmarks. Experimental results of real-time movement control are also presented" @default.
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- W2107159173 date "2005-10-24" @default.
- W2107159173 modified "2023-09-24" @default.
- W2107159173 title "Object Recognition and Self-Localization for Interactive Soccer Robots" @default.
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- W2107159173 doi "https://doi.org/10.1109/robio.2004.1521813" @default.
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