A novel indoor navigation approach employing motion statistics

Manh Hung V. Le, Dimitris Saragas, Nathan M. Webb, Richard F. Vaz, Alexander M. Wyglinski, Michael Barry, Sean McGrath

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we devised a novel indoor navigation system based on a probabilistic approach that employs data from the wireless adapter, accelerometer, and compass of the mobile device in order to determine user position. A routing algorithm employed by the device calculates the optimal path between user position and its destination. Experimental results verified that two meter accuracy was achieved by the proposed design. This technique shows promise for future handheld indoor navigation systems that can be used in malls, museums, hospitals, and college campuses.

Original languageEnglish
Title of host publication2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall - Proceedings
DOIs
Publication statusPublished - 2010
Event2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall - Ottawa, ON, Canada
Duration: 6 Sep 20109 Sep 2010

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall
Country/TerritoryCanada
CityOttawa, ON
Period6/09/109/09/10

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