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Collaborative PDR Localisation with Mobile Phones

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Collaborative PDR Localisation with Mobile Phones. / Kloch, K.; Lukowicz, P.; Fischer, C.
Wearable Computers (ISWC), 2011 15th Annual International Symposium on. IEEE, 2011. p. 37-40.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Kloch, K, Lukowicz, P & Fischer, C 2011, Collaborative PDR Localisation with Mobile Phones. in Wearable Computers (ISWC), 2011 15th Annual International Symposium on. IEEE, pp. 37-40. https://doi.org/10.1109/ISWC.2011.16

APA

Kloch, K., Lukowicz, P., & Fischer, C. (2011). Collaborative PDR Localisation with Mobile Phones. In Wearable Computers (ISWC), 2011 15th Annual International Symposium on (pp. 37-40). IEEE. https://doi.org/10.1109/ISWC.2011.16

Vancouver

Kloch K, Lukowicz P, Fischer C. Collaborative PDR Localisation with Mobile Phones. In Wearable Computers (ISWC), 2011 15th Annual International Symposium on. IEEE. 2011. p. 37-40 doi: 10.1109/ISWC.2011.16

Author

Kloch, K. ; Lukowicz, P. ; Fischer, C. / Collaborative PDR Localisation with Mobile Phones. Wearable Computers (ISWC), 2011 15th Annual International Symposium on. IEEE, 2011. pp. 37-40

Bibtex

@inproceedings{8f856de9b59447a7a7f60bf6015c228b,
title = "Collaborative PDR Localisation with Mobile Phones",
abstract = "We investigate how an ad hoc collaboration between devices which happen to be physically close to each other can improve the quality of pedestrian dead-reckoning (PDR). The general idea is that whenever two users come close to each other, their devices use the proximity information to improve their PDR location estimates. In a public space the improvement will not only affect the two involved users, but also all the other people that they will meet and collaborate with in the future. On data collected from the mobile phones of 12 users over a course of three days during an open air festival in Malta (a total of 60 walked kilometres) we demonstrate that such collaboration can improve the localisation accuracy by a factor of four and prevent unbounded PDR error. The results imply that collaboration in crowded public spaces enables even simple smart phone-based PDR systems to provide effective localisation over long time periods and distances.",
keywords = "collaborative localisation , pdr",
author = "K. Kloch and P. Lukowicz and C. Fischer",
year = "2011",
month = jun,
day = "1",
doi = "10.1109/ISWC.2011.16",
language = "English",
isbn = "978-1-4577-0774-2",
pages = "37--40",
booktitle = "Wearable Computers (ISWC), 2011 15th Annual International Symposium on",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Collaborative PDR Localisation with Mobile Phones

AU - Kloch, K.

AU - Lukowicz, P.

AU - Fischer, C.

PY - 2011/6/1

Y1 - 2011/6/1

N2 - We investigate how an ad hoc collaboration between devices which happen to be physically close to each other can improve the quality of pedestrian dead-reckoning (PDR). The general idea is that whenever two users come close to each other, their devices use the proximity information to improve their PDR location estimates. In a public space the improvement will not only affect the two involved users, but also all the other people that they will meet and collaborate with in the future. On data collected from the mobile phones of 12 users over a course of three days during an open air festival in Malta (a total of 60 walked kilometres) we demonstrate that such collaboration can improve the localisation accuracy by a factor of four and prevent unbounded PDR error. The results imply that collaboration in crowded public spaces enables even simple smart phone-based PDR systems to provide effective localisation over long time periods and distances.

AB - We investigate how an ad hoc collaboration between devices which happen to be physically close to each other can improve the quality of pedestrian dead-reckoning (PDR). The general idea is that whenever two users come close to each other, their devices use the proximity information to improve their PDR location estimates. In a public space the improvement will not only affect the two involved users, but also all the other people that they will meet and collaborate with in the future. On data collected from the mobile phones of 12 users over a course of three days during an open air festival in Malta (a total of 60 walked kilometres) we demonstrate that such collaboration can improve the localisation accuracy by a factor of four and prevent unbounded PDR error. The results imply that collaboration in crowded public spaces enables even simple smart phone-based PDR systems to provide effective localisation over long time periods and distances.

KW - collaborative localisation

KW - pdr

U2 - 10.1109/ISWC.2011.16

DO - 10.1109/ISWC.2011.16

M3 - Conference contribution/Paper

SN - 978-1-4577-0774-2

SP - 37

EP - 40

BT - Wearable Computers (ISWC), 2011 15th Annual International Symposium on

PB - IEEE

ER -