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Conference object . 2017
License: CC BY
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https://dx.doi.org/10.5281/zen...
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Localization Of Emergency First Responders Using Uwb/Gnss With Cloud -Based Augmentation

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 12 Dec 2017 English Publisher:ZenodoFunded by:EC | I-REACT
Authors: Tadic, S.; Vurdelja, L.; Vukajlovic, M.;

doi: 10.5281/zenodo.1149612 , 10.5281/zenodo.1149613

Localization Of Emergency First Responders Using Uwb/Gnss With Cloud -Based Augmentation

Abstract

© ACM, 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in S. Tadic, L. Vurdelja, M. Vukajlovic, C. Rossi, 2017. Localization of Emergency First Responders Using UWB/GNSS with Cloud-Based Augmentation. In Proceedings of I-TENDER'17, Incheon, Republic of Korea, December 12, 2017, 2 pages. DOI: 10.1145 /3152896.3152901

We propose a real-time system for indoor/outdoor localization of first responders in emergency situations based on networking of wearable devices and cloud-based GNSS (Global Navigation Satellite Systems) augmentation. We present outdoor tests that validate this concept. With good network geometry, accuracy of the indoor positioning is similar to the accuracy commonly achieved outdoors by GNSS.

Keywords

Communication hardware, interfaces and storage, Computer systems organization, Hardware, Embedded systems, Wireless device

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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