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

Author

Kim, Sinn ; Kim, Jong-Hwan

Author_Institution

Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea

Volume

48

Issue

2

fYear

2001

fDate

4/1/2001 12:00:00 AM

Firstpage

432

Lastpage

441

Abstract

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

Keywords

Global Positioning System; automotive electronics; control system analysis; control system synthesis; position control; road traffic; traffic control; traffic engineering computing; GPS; Global Positioning System; adaptive fuzzy-network-based C-measure map-matching algorithm; calculation time; car navigation system; control design; control performance; control simulation; dead reckoning; digital road map; map-matching method; position error correction; sensors; Dead reckoning; Error correction; Gaussian noise; Global Positioning System; Learning systems; Logic; Mobile robots; Navigation; Roads; Sensor systems;

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/41.915423

Filename

915423