Publication result detail

Data processing platform for indoor localization framework

KACZMARCZYK, V.; KUCHTA, R.; KUCHTOVÁ, Z.; KADLEC, J.; BAŠTÁN, O.

Original Title

Data processing platform for indoor localization framework

English Title

Data processing platform for indoor localization framework

Type

Paper in proceedings (conference paper)

Original Abstract

Nowadays the wireless localization of people or other subjects within buildings is a current topic. This article presents a complete system for collecting, processing and presenting localization data within buildings or open spaces. The system is based on applications and services that can be run either on a dedicated Microsoft Serves OS or on the MS Azure platform. The location data are obtained from a network of wireless devices deployed according to certain rules in the zone of interest. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

English abstract

Nowadays the wireless localization of people or other subjects within buildings is a current topic. This article presents a complete system for collecting, processing and presenting localization data within buildings or open spaces. The system is based on applications and services that can be run either on a dedicated Microsoft Serves OS or on the MS Azure platform. The location data are obtained from a network of wireless devices deployed according to certain rules in the zone of interest. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Keywords

Indoor localization, Ranging, Internet of Things, Microsoft Azure, Cloud processing

Key words in English

Indoor localization, Ranging, Internet of Things, Microsoft Azure, Cloud processing

Authors

KACZMARCZYK, V.; KUCHTA, R.; KUCHTOVÁ, Z.; KADLEC, J.; BAŠTÁN, O.

RIV year

2020

Released

23.05.2018

Publisher

Elsevier B.V.

Book

IFAC PAPERSONLINE

ISBN

2405-8963

Periodical

IFAC-PapersOnLine

Volume

51

Number

6

State

United Kingdom of Great Britain and Northern Ireland

Pages from

508

Pages to

513

Pages count

6

URL

https://www.sciencedirect.com/science/article/pii/S2405896318308553

BibTex

@inproceedings{BUT157662,
  author="Václav {Kaczmarczyk} and Radek {Kuchta} and Zdeňka {Kuchtová} and Jaroslav {Kadlec} and Ondřej {Baštán}",
  title="Data processing platform for indoor localization framework",
  booktitle="IFAC PAPERSONLINE",
  year="2018",
  journal="IFAC-PapersOnLine",
  volume="51",
  number="6",
  pages="508--513",
  publisher="Elsevier B.V.",
  doi="10.1016/j.ifacol.2018.07.111",
  issn="2405-8971",
  url="https://www.sciencedirect.com/science/article/pii/S2405896318308553"
}