Wi‑Fi Indoor Localisation: A Deeper Insight Into Patterns in the Fingerprint Map Data
Localisation via Wi‑Fi networks is one of the possible techniques which can be used for positioning inside buildings or in other places without the GPS signal. The accurate indoor positioning system can help users with localisation or navigation within unfamiliar places. Almost all buildings are cov...
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Online Access: | https://acta.mendelu.cz/66/6/1565/ |
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doaj-74e96139c4c64c4fa520aea198b61e732020-11-24T21:22:40ZengMendel University PressActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis1211-85162464-83102018-01-016661565157110.11118/actaun201866061565Wi‑Fi Indoor Localisation: A Deeper Insight Into Patterns in the Fingerprint Map DataMikuláš Muroň0David Procházka1Department of Informatics, Faculty of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech RepublicDepartment of Informatics, Faculty of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech RepublicLocalisation via Wi‑Fi networks is one of the possible techniques which can be used for positioning inside buildings or in other places without the GPS signal. The accurate indoor positioning system can help users with localisation or navigation within unfamiliar places. Almost all buildings are covered with the Wi‑Fi signal. Using the currently existing infrastructure will minimise cost for construction other types of indoor positioning systems. Among other reasons, usage of Wi‑Fi for positioning is also convenient because almost every mobile device has a Wi‑Fi capability and therefore the system can be easily used by everyone. However, an important factor is the precision of such a solution. The article is focused on the evaluation of Wi‑Fi localisation precision within the university grounds.https://acta.mendelu.cz/66/6/1565/Wi‑Fi indoor localizationWi‑Fi navigation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mikuláš Muroň David Procházka |
spellingShingle |
Mikuláš Muroň David Procházka Wi‑Fi Indoor Localisation: A Deeper Insight Into Patterns in the Fingerprint Map Data Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis Wi‑Fi indoor localization Wi‑Fi navigation |
author_facet |
Mikuláš Muroň David Procházka |
author_sort |
Mikuláš Muroň |
title |
Wi‑Fi Indoor Localisation: A Deeper Insight Into Patterns in the Fingerprint Map Data |
title_short |
Wi‑Fi Indoor Localisation: A Deeper Insight Into Patterns in the Fingerprint Map Data |
title_full |
Wi‑Fi Indoor Localisation: A Deeper Insight Into Patterns in the Fingerprint Map Data |
title_fullStr |
Wi‑Fi Indoor Localisation: A Deeper Insight Into Patterns in the Fingerprint Map Data |
title_full_unstemmed |
Wi‑Fi Indoor Localisation: A Deeper Insight Into Patterns in the Fingerprint Map Data |
title_sort |
wi‑fi indoor localisation: a deeper insight into patterns in the fingerprint map data |
publisher |
Mendel University Press |
series |
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis |
issn |
1211-8516 2464-8310 |
publishDate |
2018-01-01 |
description |
Localisation via Wi‑Fi networks is one of the possible techniques which can be used for positioning inside buildings or in other places without the GPS signal. The accurate indoor positioning system can help users with localisation or navigation within unfamiliar places. Almost all buildings are covered with the Wi‑Fi signal. Using the currently existing infrastructure will minimise cost for construction other types of indoor positioning systems. Among other reasons, usage of Wi‑Fi for positioning is also convenient because almost every mobile device has a Wi‑Fi capability and therefore the system can be easily used by everyone. However, an important factor is the precision of such a solution. The article is focused on the evaluation of Wi‑Fi localisation precision within the university grounds. |
topic |
Wi‑Fi indoor localization Wi‑Fi navigation |
url |
https://acta.mendelu.cz/66/6/1565/ |
work_keys_str_mv |
AT mikulasmuron wifiindoorlocalisationadeeperinsightintopatternsinthefingerprintmapdata AT davidprochazka wifiindoorlocalisationadeeperinsightintopatternsinthefingerprintmapdata |
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