We present an indoor localization application leveraging the sensing capabilities of current state of the art smart phones. To the best of our knowledge, our application is the first one to be implemented in smart phones and integrating both offline and online phases of fingerprinting, delivering an accuracy of up to 1.5 meters. In particular, we have studied the possibilities offered by WiFi radio, cellular communications radio, accelerometer and magnetometer, already embedded in smart phones, with the intention to build a multimodal solution for localization. We have also implemented a new approach for the statistical processing of radio signal strengths, showing that it can outperform existing deterministic techniques.
%0 Conference Paper
%1 Martin:2010:PIL:1873951.1874078
%A Martin, Eladio
%A Vinyals, Oriol
%A Friedland, Gerald
%A Bajcsy, Ruzena
%B Proceedings of the International Conference on Multimedia
%C New York, NY, USA
%D 2010
%I ACM
%K bachelor:2015:elger mobile
%P 787--790
%R 10.1145/1873951.1874078
%T Precise Indoor Localization Using Smart Phones
%U http://doi.acm.org/10.1145/1873951.1874078
%X We present an indoor localization application leveraging the sensing capabilities of current state of the art smart phones. To the best of our knowledge, our application is the first one to be implemented in smart phones and integrating both offline and online phases of fingerprinting, delivering an accuracy of up to 1.5 meters. In particular, we have studied the possibilities offered by WiFi radio, cellular communications radio, accelerometer and magnetometer, already embedded in smart phones, with the intention to build a multimodal solution for localization. We have also implemented a new approach for the statistical processing of radio signal strengths, showing that it can outperform existing deterministic techniques.
%@ 978-1-60558-933-6
@inproceedings{Martin:2010:PIL:1873951.1874078,
abstract = {We present an indoor localization application leveraging the sensing capabilities of current state of the art smart phones. To the best of our knowledge, our application is the first one to be implemented in smart phones and integrating both offline and online phases of fingerprinting, delivering an accuracy of up to 1.5 meters. In particular, we have studied the possibilities offered by WiFi radio, cellular communications radio, accelerometer and magnetometer, already embedded in smart phones, with the intention to build a multimodal solution for localization. We have also implemented a new approach for the statistical processing of radio signal strengths, showing that it can outperform existing deterministic techniques.},
acmid = {1874078},
added-at = {2015-06-07T16:32:21.000+0200},
address = {New York, NY, USA},
author = {Martin, Eladio and Vinyals, Oriol and Friedland, Gerald and Bajcsy, Ruzena},
biburl = {https://www.bibsonomy.org/bibtex/20c150fd3855e6beddd96c1c149ef80da/rev4ge},
booktitle = {Proceedings of the International Conference on Multimedia},
description = {Precise indoor localization using smart phones},
doi = {10.1145/1873951.1874078},
interhash = {4161ecf3814203a811dfd144be1f36cf},
intrahash = {0c150fd3855e6beddd96c1c149ef80da},
isbn = {978-1-60558-933-6},
keywords = {bachelor:2015:elger mobile},
location = {Firenze, Italy},
numpages = {4},
pages = {787--790},
publisher = {ACM},
series = {MM '10},
timestamp = {2015-06-08T00:56:14.000+0200},
title = {Precise Indoor Localization Using Smart Phones},
url = {http://doi.acm.org/10.1145/1873951.1874078},
year = 2010
}