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New Map-Matching Algorithm Using Virtual Track for Pedestrian Dead Reckoning

Cited 30 time in Web of Science Cited 38 time in Scopus
Authors
Shin, Seung Hyuck; Park, Chan Gook; Choi, Sangon
Issue Date
2010-12
Publisher
Electronics and Telecommunications Research
Citation
ETRI Journal, vol. 32, no. 6, pp. 891-900
Keywords
Map-matchingPDRvirtual trackpedestriandead reckoning
Abstract
In this paper, a map-matching (MM) algorithm which
combines an estimated position with digital road data is
proposed. The presented algorithm using a virtual track is
appropriate for a MEMS-based pedestrian dead
reckoning (PDR) system, which can be used in mobile
devices. Most of the previous MM algorithms are for car
navigation systems and GPS-based navigation system, so
existing MM algorithms are not appropriate for the pure
DR-based pedestrian navigation system. The biggest
problem of previous MM algorithms is that they cannot
determine the correct road segment (link) due to the DR
characteristics. In DR-based navigation system, the
current position is propagated from the previous
estimated position. This means that the MM result can be
placed on a wrong link when MM algorithm fails to decide
the correct link at once. It is a critical problem. Previous
algorithms never overcome this problem because they did
not consider pure DR characteristics. The MM algorithm
using the virtual track is proposed to overcome this
problem with improved accuracy. Performance of the
proposed MM algorithm was verified by experiments.
ISSN
1225-6463
Language
English
URI
http://hdl.handle.net/10371/70831
DOI
https://doi.org/10.4218/etrij.10.0110.0037
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Mechanical Aerospace Engineering (기계항공공학부)Journal Papers (저널논문_기계항공공학부)
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