AGV navigation analysis based on multi-sensor data fusion

For the navigation problem of differential AGV, its motion model was established, and the inertial guidance method based on multi-sensor was adopted. The encoder, gyro, acceleration sensor, ultrasonic sensor and infrared sensor were selected to establish the Kalman filter multi-sensor. And the models and algorithms of the data fusion navigation and the obstacle avoidance were proposed. Further, the simulation calculation was conducted. The research results show that the navigation accuracy of AGV and navigation performance were improved by the method discussed in the paper.