Efficient Augmented Reality on Low-Power Embedded Systems-Reference-Cited by-同舟云学术

Efficient Augmented Reality on Low-Power Embedded Systems

Published:2021 Issue: Volume: Page:227-244
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Longobardi Alessandro^ORCID,Tecchia Franco^ORCID,Carrozzino Marcello^ORCID,Bergamasco Massimo^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-87595-4_17

Reference11 articles.

1. Elliott, G.A., Anderson, J.H.: Real-world constraints of GPUs in real-time Systems. In: 2011 IEEE 17th International Conference on Embedded and Real-Time Computing Systems and Applications, pp. 48–54 (2011). https://doi.org/10.1109/RTCSA.2011.46

2. Schneider, M. Rambach, J., Stricker, D.: Augmented reality based on edge computing using the example of remote live support. In: 2017 IEEE International Conference on Industrial Technology (ICIT), pp. 1277-1282 (2017). https://doi.org/10.1109/ICIT.2017.7915547

3. López, H., Navarro, A., Relaño, J.: An analysis of augmented reality systems. In: 2010 Fifth International Multi-conference on Computing in the Global Information Technology, pp. 245-250 (2010). https://doi.org/10.1109/ICCGI.2010.24.

4. Elteir, M.K., Lazem, S., Azab, M.: Unleashing the hidden powers of low-cost IoT boards: GPU-based edutainment case study. J. King Saud Univ. Comput. Inf. Sci. 1319–1578 (2020)

5. Campeanu, G., Carlson, J., Sentilles, S.: Developing CPU-GPU embedded systems using platform-agnostic components. In: 2017 43rd Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pp. 176–180 (2017). https://doi.org/10.1109/SEAA.2017.20.

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