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Reliability and Accuracy of Indoor Warehouse Navigation Using Augmented Reality

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F24%3A43972747" target="_blank" >RIV/49777513:23210/24:43972747 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://ieeexplore.ieee.org/document/10577162" target="_blank" >https://ieeexplore.ieee.org/document/10577162</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ACCESS.2024.3420732" target="_blank" >10.1109/ACCESS.2024.3420732</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Reliability and Accuracy of Indoor Warehouse Navigation Using Augmented Reality

  • Popis výsledku v původním jazyce

    Augmented reality (AR) plays a crucial role in Industry 4.0, serving as a foundational element in various stages of the product and process lifecycle. AR is employed in both outdoor and indoor environments, utilising technologies such as GPS, SLAM, RFID, Wi-Fi, and inertial sensors for positioning and navigation. This study focuses on assessing the reliability, functionality, and accuracy of indoor warehouse navigation using inertial sensors commonly found in smartphones. Standard AR development tools like ARCore, AR Foundation, and ZXing were chosen for validation. A mobile application was developed using Unity3D. The field research was conducted in a medium-sized warehouse. Results showed an 83% success rate in reaching the target with an average accuracy of 0.48 metres. Development iterations addressed issues identified during testing including navigation failures and instability caused by warehouse lighting conditions. Comparisons with other technologies revealed AR&apos;s competitive advantages, despite some existing challenges. The study concludes that ongoing innovation in hardware and software will likely overcome current limitations, paving the way for broader AR adoption in industrial settings.

  • Název v anglickém jazyce

    Reliability and Accuracy of Indoor Warehouse Navigation Using Augmented Reality

  • Popis výsledku anglicky

    Augmented reality (AR) plays a crucial role in Industry 4.0, serving as a foundational element in various stages of the product and process lifecycle. AR is employed in both outdoor and indoor environments, utilising technologies such as GPS, SLAM, RFID, Wi-Fi, and inertial sensors for positioning and navigation. This study focuses on assessing the reliability, functionality, and accuracy of indoor warehouse navigation using inertial sensors commonly found in smartphones. Standard AR development tools like ARCore, AR Foundation, and ZXing were chosen for validation. A mobile application was developed using Unity3D. The field research was conducted in a medium-sized warehouse. Results showed an 83% success rate in reaching the target with an average accuracy of 0.48 metres. Development iterations addressed issues identified during testing including navigation failures and instability caused by warehouse lighting conditions. Comparisons with other technologies revealed AR&apos;s competitive advantages, despite some existing challenges. The study concludes that ongoing innovation in hardware and software will likely overcome current limitations, paving the way for broader AR adoption in industrial settings.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    IEEE Access

  • ISSN

    2169-3536

  • e-ISSN

    2169-3536

  • Svazek periodika

    12

  • Číslo periodika v rámci svazku

    June 2024

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    14

  • Strana od-do

    94506-94519

  • Kód UT WoS článku

    001272140900001

  • EID výsledku v databázi Scopus

    2-s2.0-85197072493