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International Conference on Dependability and Complex Systems

DepCoS-RELCOMEX 2019: Engineering in Dependability of Computer Systems and Networks pp 358–370Cite as

Capabilities of ARCore and ARKit Platforms for AR/VR Applications

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 987))

Abstract

In this paper ARCore and ARkit capabilities were scrutinized and compared. Authors established comparison criteria for both platforms, developed test applications and ran comparison tests. Obtained results can be a help in choosing the right framework to speed up prototyping and development of modern AR/VR applications. This work consists of a comprehensive comparison of these new frameworks in the following respects: general performance (CPU/memory use), mapping of planes on various surface types, influence of light and movement on mapping quality etc.

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Notes

  1. 1.

    Measurement of a distance between 2 points on a mapped plane vs. real distance.

References

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Wroclaw University of Technology, Janiszewskiego 11-17, 50-372, Wrocław, Poland

    Paweł Nowacki & Marek Woda

Authors
  1. Paweł Nowacki
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  2. Marek Woda
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Corresponding author

Correspondence to Marek Woda .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wroclaw, Poland

    Wojciech Zamojski

  2. Wrocław University of Science and Technology, Wroclaw, Poland

    Jacek Mazurkiewicz

  3. Wrocław University of Science and Technology, Wroclaw, Poland

    Jarosław Sugier

  4. Wrocław University of Science and Technology, Wroclaw, Poland

    Tomasz Walkowiak

  5. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Cite this paper

Nowacki, P., Woda, M. (2020). Capabilities of ARCore and ARKit Platforms for AR/VR Applications. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Engineering in Dependability of Computer Systems and Networks. DepCoS-RELCOMEX 2019. Advances in Intelligent Systems and Computing, vol 987. Springer, Cham. https://doi.org/10.1007/978-3-030-19501-4_36

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