In order to further improve the positioning accuracy of AGV (Automated Guided Vehicle) and meet the requirements of highprecision positioning occasions, a precise positioning method based on binocular vision and laser integrated navigation is proposed in this paper. Firstly, the method proposes an AGV position and pose control technique based on binocular vision realtime measurement. The multiobject vision system is used to recognize a number of circular identification points on the guide wire side, and the forward looking prediction and accurate pose determination are completed. Then, the improved least squares fitting ellipse algorithm based on algebraic distance variance calibration is used to determine the coordinates of the identification centers. Combining laser scanning and visual positioning information, the Unscented Kalman Filter (UKF) algorithm is adopted to realize the multiple sensor data fusion; and finally, the accurate positioning is realized. Experiment results show that after using the proposed method, the positioning accuracy is improved obviously, the control curve becomes smoother, the positioning robustness becomes better; the attitude adjustment accuracy can reach to ±0.5 degrees and the comprehensive parking positioning accuracy can reach to ±1 mm.