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Four-wheel independent drive agricultural vehicles are widely used in facility agriculture and animal husbandry of material transportation and information collection, but the navigation and control are difficult. A navigation and control method based on optimized information fusion of multiple sensors was proposed. The proposed system was consisted of CCD, acceleration sensor, electronic compass and ultrasonic. The marked path information was obtained by using CCD. The vehicle posture information was got by using acceleration sensor and electronic compass. And the obstacles were judged by using ultrasonic sensor. Meanwhile, several algorithms were presented, including extraction of road signs feature, multi-source information fusion and ultrasonic obstacle avoidance algorithm. The proposed system can identify and avoid obstacles automatically. On the basis of above, a fuzzy control system was adopted to accomplish the car navigation path tracking control. The experimental results show that the method of information fusion and navigation control is correct and effective.