In this paper, we propose a selflocalization method utilizing soccer robots. Generally selflocalization is one of most important functions for autonomous motion generation and cooperation in such robot soccer environment. Proposed based on Kalman filter technique utilizes to integrate position information using landmark and odmetry information. Dead-reckoning information and omni-directional visual information is utilized to confirm effect of proposed method using mobile robot.
