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Indoor Localization by Map Matching Using One Image of Information Board

Authors:
Kento Tonosaki
Toshihiro Sugaya
Tomo Miyazaki
Shinichiro Omachi

Keywords: indoor positioning; particle filter; map matching

Abstract:
Indoor navigation systems have not become common like an outdoor navigation system, because we cannot correctly receive the signals from Global Positioning System (GPS) satellites in indoor environments, and indoor map databases are unavailable in most locations. Existing indoor localization methods and navigation systems have problems such as management and deployment cost, and limitation of available places. In this paper, we present a novel method of indoor navigation using an information board and several functions of a smartphone. Our framework does not require large-scale preparations and expenses for owners of buildings unlike existing methods, and is available wherever an information board exists. This method comprises image analysis and map matching. The former is to analyze the picture of information board taken by a smartphone and estimate the passageway region from the image. The latter gives us real-time localization in the map by using inertial sensors in the smartphone after the input of current places by the user at two different positions.

Pages: 22 to 26

Copyright: Copyright (c) IARIA, 2016

Publication date: March 20, 2016

Published in: conference

ISSN: 2308-3557

ISBN: 978-1-61208-465-7

Location: Rome, Italy

Dates: from March 20, 2016 to March 24, 2016