ELHATTAB, Laila, KHAIRALLA, Judy, AL-ATTAR, Rana, ALBERT, Steven, SHORIM, Nada and ELIWA, Essam (2023). Augmented reality applications in the automotive industry. In: 2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC). IEEE, 357-364.
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Abstract
This research paper examines the implications and transformative capabilities of Augmented Reality (AR) within the automotive landscape. We examine how AR catalyses radical changes across various automotive functions, from design and manufacturing to customer engagement and vehicle operation. While AR is poised to elevate operational efficiencies significantly, it also presents challenges, such as AR content authoring complexity and hardware constraints that restrict mass consumer adoption. This paper surveys the current AR state-of-the-art technology, systems and pivotal automotive applications. The primary objective is to offer a thorough comprehension of the underlying concepts, methodologies, and applications that underpin the integration of AR within the automotive industry. It concludes by discussing potential barriers to AR implementation and outlines future avenues for research, including software scalability and the integration of cloud and edge computing to alleviate device limitations.
Item Type: | Book Section |
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Identification Number: | https://doi.org/10.1109/MIUCC58832.2023.10278357 |
Page Range: | 357-364 |
SWORD Depositor: | Symplectic Elements |
Depositing User: | Symplectic Elements |
Date Deposited: | 27 Nov 2023 11:30 |
Last Modified: | 27 Nov 2023 15:23 |
URI: | https://shura.shu.ac.uk/id/eprint/32740 |
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