Location System of Autonomous Vehicle Based on Data Fusion

Data fusion techniques are widely used in intelligent Vehicles, modern industry, as well as in applications where accuracy is of a main concern. In this paper, location system of an autonomous land vehicle is studied. The location system of autonomous land vehicle is a key to the autonomous land vehicle. With contrast of relative location methods and absolute location methods, location system of an autonomous land vehicle is designed. With the analysis of general data fusion, a fusion location algorithm based on Kalman filter is advanced in this paper. The fusion location algorithm is simulated. The simulation results show that it can efficiently reduce the location error. Furthermore, the fusion location can increase the reliability of the an autonomous land vehicle.