Abstract
In this work we explore distributed and collaborative augmented reality (AR) and motion capture technologies in a Cloud Continuum context through a case study focused on cultural heritage. In particular, the main objectives of the project are the definition of different logical and physical architectures through the creation of architectural, sequence and component diagrams, the implementation of these applications through reference platforms and programming languages such as Unity and Python, and finally the identification of limits from a computational and network speed point of view. This aspect is crucial to evaluate the feasibility and effectiveness of the proposed solutions. The actual testbed was realized thanks to the support of a documentary exhibition, held at the Central State Archives in Rome, which provided the ideal environment for testing the developed applications.
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Acknowledgements
The work has been supported by ARS01_00540 - RASTA project, funded by the Italian Ministry of Research PNR 2015–2020.
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Di Martino, B., Pezzullo, G.J., Branco, D., Bombace, V., Ceglie, S. (2024). Distributed Collaborative AR on Cloud Continuum: A Case Study for Cultural Heritage. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 203. Springer, Cham. https://doi.org/10.1007/978-3-031-57931-8_13
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