文献类型：会议论文

英文题名：Location system of autonomous vehicle based on data fusion

作者：Yang, Qingmei[1];Sun, Jianmin[2]

第一作者：杨清梅

通讯作者：Yang, QM[1]

机构：[1]Beijing Union Univ, Coll Automat, Beijing 100101, Peoples R China;[2]Beijing Inst Civil Engn & Architecture, Sch Mech Elect & Automobile Engn, Beijing 100044, Peoples R China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Automat, Beijing 100101, Peoples R China.|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

会议论文集：IEEE International Conference on Vehicular Electronics and Safety

会议日期：DEC 13-15, 2006

会议地点：Shanghai, PEOPLES R CHINA

语种：英文

外文关键词：kalman filter; data fusion; location system

摘要：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 dada 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.