Adaptive fuzzy-network-based C-measure map-matching algorithm for car navigation system

被引：63

作者：

Kim, S ^{[1
]}

Kim, JH ^{[1
]}

机构：

[1] Korea Adv Inst Sci & Technol, Dept Elect Engn, Taejon 305701, South Korea

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2001年 / 48卷 / 02期

关键词：

fuzzy logic; learning systems; road vehicle location monitoring; terrain mapping;

D O I：

10.1109/41.915423

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Most car navigation systems estimate the car position from dead reckoning and the Global Positioning System (GPS), However, because of the unknown GPS noise, the estimated position has an undesirable error. To solve this problem, a map-matching method is introduced, which uses a digital road map to correct the position error. In this paper, a novel adaptive-fuzzy-network-based C-measure algorithm is proposed, which can find the exact road on which a car moves. The C-measure algorithm is easy to calculate, and calculation time does not increase exponentially with the increase of junctions. For the experiments, a car navigation system is implemented,with a small number of sensors. The real road experiments demonstrate the effectiveness and applicability of the proposed algorithm and the developed car navigation system.

引用

页码：432 / 441

页数：10