An Indoor Positioning System Using Vision aided Advanced PDR technology without image DB and with motion recognition

Title
An Indoor Positioning System Using Vision aided Advanced PDR technology without image DB and with motion recognition
Authors
이택진신범주이정호이현호김재헌김철기윤두희이석
Keywords
navigation; communication; classifier
Issue Date
2013-04
Publisher
Pacific PNT 2013
Abstract
In this paper, we proposed an indoor positioning system using vision aided advanced PDR technology. The novelty of this research is that the vision-based positioning system does not need an image DB and the PDR system could estimate a position regardless of any motions. For motion recognition, we make an ANN-based classifier and which gives a very high recognition rate. We estimate a height using barometric pressure sensor calibrated by sea-level pressure and true altitude. We experiment a field test and its result is less than 3% of error rate. We anticipate that the proposed system will be applied to the smartphone-based navigation system.
URI
http://pubs.kist.re.kr/handle/201004/44818
Appears in Collections:
KIST Publication > Conference Paper
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