Location system of autonomous vehicle based on data fusion

被引：0

作者：

Yang, Qingmei ^{[1
]}

Sun, Jianmin ^{[2
]}

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

来源：

PROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY | 2006年

关键词：

kalman filter; data fusion; location system;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：314 / +

页数：2

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