Towards autonomous vision self-calibration for soccer robots

The ability to autonomously adapt to variations in the environmental conditions is a very useful feature for mobile robots. Of particular interest in robotic soccer are self-calibrating vision systems that automatically adapt to local lighting conditions. The paper presents a method for autonomous calibration of a color classificator used for color blob-based image segmentation and landmark and object recognition. The experimental results demonstrate significantly improved robustness of visual processing.