In this paper, we propose a novel environment modeling method for local homing for indoor mobile navigation. An environment model is constructed from a set of omnidirectional sensor data obtained by rotating an ultrasonic sensor and a vision sensor. We develop a sensor fusion method to deal with uncertainties in the two types of sensor data. The proposed sensor fusion method uses fuzzy numbers to represent subjective knowledge and manipulates uncertain quantities using fuzzy arithmetic. Using the proposed method, we can determine a more precise geometric relation between the current location and the target location. To evaluate the proposed environment modeling and to verify the sensor fusion method, experiments are carried out in an indoor environment.
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