PEDESTRIAN DEAD RECKONING AS A COMPLEMENTARY METHOD FOR WIRELESS SENSOR NETWORK AD-HOC PERSON LOCALIZATION

Tobias Gädeke, Johannes Schmid, Wilhelm Stork, Klaus D. Mueller-Glaser

2012

Abstract

The problem of localization and navigation in areas without any or with only limited access to global navigation satellite systems (GNSS) is still not solved. This is especially the case for person localization applications as persons tend to spend a good part of their time in buildings or in cities (urban canyons). One possibility to approach this issue is to use wireless sensor network (WSN) technology. Especially scenarios that require ad-hoc person localization like firefighters that enter a burning building or similar setups, WSN seem to be a promising solution. However, if the node density is low or if the scenario also requires localization in uncovered areas, an additional localization method is required. Pedestrian dead reckoning (PDR) is an ideal complementary method to achieve short term accurate localization under these assumptions. In this paper, an approach to PDR with low processing power for the use in WSN with a hip mounted inertial measurement unit (IMU) is presented. The purpose of the system is to provide a localization and tracking solution if temporarily none or only few anchor nodes are within communication range. This is achieved by detecting steps, estimating the length of each step and determining the step direction in WSN coordinates. We experimentally evaluate the system under varying environmental conditions and show that the concept is a promising solution for the intended applications.

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Paper Citation


in Harvard Style

Gädeke T., Schmid J., Stork W. and D. Mueller-Glaser K. (2012). PEDESTRIAN DEAD RECKONING AS A COMPLEMENTARY METHOD FOR WIRELESS SENSOR NETWORK AD-HOC PERSON LOCALIZATION . In Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-8565-01-3, pages 139-148. DOI: 10.5220/0003804801390148


in Harvard Style

Gädeke T., Schmid J., Stork W. and D. Mueller-Glaser K. (2012). PEDESTRIAN DEAD RECKONING AS A COMPLEMENTARY METHOD FOR WIRELESS SENSOR NETWORK AD-HOC PERSON LOCALIZATION . In Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-8565-01-3, pages 139-148. DOI: 10.5220/0003804801390148


in Bibtex Style

@conference{sensornets12,
author={Tobias Gädeke and Johannes Schmid and Wilhelm Stork and Klaus D. Mueller-Glaser},
title={PEDESTRIAN DEAD RECKONING AS A COMPLEMENTARY METHOD FOR WIRELESS SENSOR NETWORK AD-HOC PERSON LOCALIZATION},
booktitle={Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2012},
pages={139-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003804801390148},
isbn={978-989-8565-01-3},
}


in Bibtex Style

@conference{sensornets12,
author={Tobias Gädeke and Johannes Schmid and Wilhelm Stork and Klaus D. Mueller-Glaser},
title={PEDESTRIAN DEAD RECKONING AS A COMPLEMENTARY METHOD FOR WIRELESS SENSOR NETWORK AD-HOC PERSON LOCALIZATION},
booktitle={Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2012},
pages={139-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003804801390148},
isbn={978-989-8565-01-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - PEDESTRIAN DEAD RECKONING AS A COMPLEMENTARY METHOD FOR WIRELESS SENSOR NETWORK AD-HOC PERSON LOCALIZATION
SN - 978-989-8565-01-3
AU - Gädeke T.
AU - Schmid J.
AU - Stork W.
AU - D. Mueller-Glaser K.
PY - 2012
SP - 139
EP - 148
DO - 10.5220/0003804801390148


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - PEDESTRIAN DEAD RECKONING AS A COMPLEMENTARY METHOD FOR WIRELESS SENSOR NETWORK AD-HOC PERSON LOCALIZATION
SN - 978-989-8565-01-3
AU - Gädeke T.
AU - Schmid J.
AU - Stork W.
AU - D. Mueller-Glaser K.
PY - 2012
SP - 139
EP - 148
DO - 10.5220/0003804801390148