Reliability and Accuracy of Indoor Warehouse Navigation Using Augmented Reality
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Reliability and Accuracy of Indoor Warehouse Navigation Using Augmented Reality
Original language description
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'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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Access
ISSN
2169-3536
e-ISSN
2169-3536
Volume of the periodical
12
Issue of the periodical within the volume
June 2024
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
94506-94519
UT code for WoS article
001272140900001
EID of the result in the Scopus database
2-s2.0-85197072493