Research on Map Matching and Location Technology Based on Fuzzy Judgment

Inhalt:
In view of the fact that the error of inertial navigation system will diverge with time, this paper integrates the road data information provided by electronic map to effectively improve the positioning accuracy of vehicles. The output positioning data of inertial navigation is analyzed by the method of fuzzy comprehensive evaluation. The fuzzy judgment is made on the basis of multi factor comprehensive map matching, and the reliability of the results is analyzed. Aiming at the problem that the original algorithm only refers to the direction and angle is easy to make mistakes in the case of complex road sections, this paper introduces the historical trajectory information, uses the discrete positioning point information output by the inertial navigation system to fit, and makes full use of the completeness of the inertial navigation information. This can be achieved the fitting result is matched with the road curve, and the fitting result of the curve is regarded as one of the factors of fuzzy judgment. This method improves the accuracy of the original fuzzy matching algorithm by using the historical trajectory information. In this paper, the gyro drift is 0.01deg/h and the accelerometer bias is 5×10(exp -5g). The simulation results show that the fuzzy judgment algorithm with curve fitting factor has higher accuracy than the original algorithm, and can restrain the divergence of inertial navigation error.