Adaptive fuzzy-network-based C-measure map-matching algorithm forcar navigation system
Sinn Kim
Jong-Hwan Kim
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Apr 2001
Volume: 48,
Issue: 2
On page(s): 432-441
ISSN: 0278-0046
References Cited: 32
CODEN: ITIED6
INSPEC Accession Number: 6901638
Digital Object Identifier: 10.1109/41.915423
Current Version Published: 2002-08-07
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
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