Visual Positioning System of Intelligent Robot Based on Improved Kalman Filter

The paper presents improved Kalman Filter for visual positioning of the robot. Firstly, the process of robot visual position system is studied in detail. Secondly, the improved Kalman Filter based on Cubature Kalman Filter is researched and used to fuse the data and obtain the positioning data with high precision. The experiments and simulations provide calibration coefficients for camera calibration and verify the improved Cubature Kalman Filter method can effectively improve the positioning accuracy of robot.