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In order to improve the accuracy and reliability of the vehicle navigation, we select the ring laser gyro (RLG) strapdown inertial navigation system (SINS) as the core navigation system, and select GPS and odometer as the navigation aids, the multisensor integrated navigation system for land vehicle based on the multi-sensor information fusion technology is designed and accomplished in this paper.

With respect to the advantages and disadvantages of all the sensors, according to the actual work condition, in this system the sensors information is rationally selected as measurements, and the centralized Kalman filter algorithm is adopted to estimate and correct the errors of the system.

Thus it can realize the high-accuracy, continuous and reliable navigation of the system. The theoretical analysis and experiment results show that the designed system takes on higher accuracy and reliability and satisfies different application demands, so it is more suitable for practical application