ARKit as indoor positioning system

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU133955" target="_blank" >RIV/00216305:26220/19:PU133955 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8970761" target="_blank" >https://ieeexplore.ieee.org/document/8970761</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICUMT48472.2019.8970761" target="_blank" >10.1109/ICUMT48472.2019.8970761</a>

Jazyk výsledku

angličtina

Název v původním jazyce

ARKit as indoor positioning system

Popis výsledku v původním jazyce

This paper describes the possibilities of indoor space mapping and user movement tracking using augmented reality technologies. The state-of-the-art options for indoor navigation are discussed, including the one, when the sensors deployed on a regular smartphone, are utilized. One way is to use data from accelerometer, gyroscope, and magnetometer sensors. When combined with the analysis of the image from the camera, we can get a relatively accurate result of the device’s position and motion in the real world. This is what offer today’s frameworks ARKit on iOS and ARCore on Android. Technologies such as GPS are suitable to use for an outdoor environment and do not work indoor. For indoor positioning, we can use beacons, but it required additional hardware and setup. The paper discusses the possibility of their use to analyze movement in space without using other navigation technologies. Emphasis is placed on optimizing the algorithms created to track device position in space. Paper on the end mentions possible use cases to use the developed algorithm.

Název v anglickém jazyce

ARKit as indoor positioning system

Popis výsledku anglicky

This paper describes the possibilities of indoor space mapping and user movement tracking using augmented reality technologies. The state-of-the-art options for indoor navigation are discussed, including the one, when the sensors deployed on a regular smartphone, are utilized. One way is to use data from accelerometer, gyroscope, and magnetometer sensors. When combined with the analysis of the image from the camera, we can get a relatively accurate result of the device’s position and motion in the real world. This is what offer today’s frameworks ARKit on iOS and ARCore on Android. Technologies such as GPS are suitable to use for an outdoor environment and do not work indoor. For indoor positioning, we can use beacons, but it required additional hardware and setup. The paper discusses the possibility of their use to analyze movement in space without using other navigation technologies. Emphasis is placed on optimizing the algorithms created to track device position in space. Paper on the end mentions possible use cases to use the developed algorithm.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20203 - Telecommunications

Projekt

<a href="/cs/project/LO1401" target="_blank" >LO1401: Interdisciplinární výzkum bezdrátových technologií</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

In 2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

ISBN

978-1-7281-5763-4

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

1-5

Název nakladatele

Neuveden

Místo vydání

Ireland, Dublin

Místo konání akce

Dublin

Datum konání akce

28. 10. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000540651700020