Using Markers to Refine GPS Positioning for Augmented Reality Warehouse Navigation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F24%3A43970950" target="_blank" >RIV/49777513:23210/24:43970950 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-031-44721-1_49" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-44721-1_49</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-44721-1_49" target="_blank" >10.1007/978-3-031-44721-1_49</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Using Markers to Refine GPS Positioning for Augmented Reality Warehouse Navigation

Popis výsledku v původním jazyce

When picking inventory from outdoor warehouses we encounter several problems, including locating the destination and determining the shortest route to sub-targets. One technology that could help the user during the localization and navigation process is augmented reality. This technology allows 3D virtual artefacts to be displayed in the real environment, in this case for example, navigation elements or a visual representation of the target. There are already various commercial solutions available for use in navigation, but their application in general warehousing is unique. In the case of outdoor warehouses, GPS technology can be a great benefit. However, this technology has positioning inaccuracies. For the optimal implementation of a navigation system, the GPS position needs to be found as accurately as possible. This paper deals with one option for achieving GPS positioning accuracy by using markers. Once the position of the observer is refined, the position of the digital artefacts is also refined. First, the inaccuracy without corrections is experimentally measured within the proposed technical solution, then the optimal size and rotation angle of the marker is experimentally determined. The output is then a mathematical model that determines minimum marker sizes, spacing, and rotation angles based on the aisle width of the outdoor warehouse. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Název v anglickém jazyce

Using Markers to Refine GPS Positioning for Augmented Reality Warehouse Navigation

Popis výsledku anglicky

When picking inventory from outdoor warehouses we encounter several problems, including locating the destination and determining the shortest route to sub-targets. One technology that could help the user during the localization and navigation process is augmented reality. This technology allows 3D virtual artefacts to be displayed in the real environment, in this case for example, navigation elements or a visual representation of the target. There are already various commercial solutions available for use in navigation, but their application in general warehousing is unique. In the case of outdoor warehouses, GPS technology can be a great benefit. However, this technology has positioning inaccuracies. For the optimal implementation of a navigation system, the GPS position needs to be found as accurately as possible. This paper deals with one option for achieving GPS positioning accuracy by using markers. Once the position of the observer is refined, the position of the digital artefacts is also refined. First, the inaccuracy without corrections is experimentally measured within the proposed technical solution, then the optimal size and rotation angle of the marker is experimentally determined. The output is then a mathematical model that determines minimum marker sizes, spacing, and rotation angles based on the aisle width of the outdoor warehouse. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20301 - Mechanical engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

Research and Innovation Forum 2023. Springer Proceedings in Complexity

ISBN

978-3-031-44720-4

ISSN

2213-8684

e-ISSN

2213-8692

Počet stran výsledku

12

Strana od-do

649-660

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Kraków

Datum konání akce

12. 4. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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