Fuzzy sensor data fusion in GPS vehicle positioning

被引：0

作者：

Zhu, DP ^{[1
]}

Zhang, B ^{[1
]}

机构：

[1] Zaptron Syst Inc, Sunnyvale, CA 94089 USA

来源：

FUSION'98: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MULTISOURCE-MULTISENSOR INFORMATION FUSION, VOLS 1 AND 2 | 1998年

关键词：

data fusion; error correction; fuzzy logic; GPS navigation; digital map;

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：

Based on fuzzy logic techniques an intelligent vehicle positioning system (VPS) is developed that provides accurate positioning using sensor data from a GPS (Global Positioning System) receiver a differential odometer a magnetic compass and a digital map. By simultaneous sensor and model corrections, VPS implements an efficient, parallel self-adaptation to achieve real-time performance, without the track recovery time and the inertia effort of a Kalman filter-based positioning system. Road tests on a land-based motor vehicle have demonstrated the VPS's robust system performance superior to other techniques such as Kalman filtering method.

引用

页码：259 / 266

页数：8

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