Augmented Reality

By E. Checcucci, D. Amparore, P. Verri, S. De Cillis, F. Piramide, M. Manfredi, C. Fiori, F. Porpiglia. American Journal of Neuroradiology, 2020

733 citations recorded by the source corpus.

Purpose – The purpose of this thesis is to understand how the two frameworks: ARKit and ARCore works in the outside environment, in terms of possibilities and constrictions. This thesis intends to answer the following research questions: Method – The study uses a literature study to answer the first research question. For the second research question a combination of literature study and experimental study is used, in which a hypothesis and prediction is formulated. Results – The results of the study show that there’s more restrictions than possibilities for using ARKit and ARCore in the outside environment. There are a lot of factors that can affect the frameworks ability to read the surroundings and place virtual objects. Dynamic elements, such as weather and illumination, is something that needs to be kept in mind. The experimental study showed that the minimal illumination needed for an ARKit based application to be able to place an object in an environment was 10.275 lx. In comparison; this is when the sun is positioned at a -5 O under the horizon or higher. For example, this means that 1 st of January only has 7h and 30min of the day where there is enough daylight for ARKit to read the surrounding. This does not account for other factors that can be troublesome, such as during the wintertime there is likely snow covering the ground. Implications – The study contributes to the exploration of an area which is relatively unknown since these frameworks have barely been out for a year. The results in the study can give an insight for developers and companies that have visions to use AR technology in the outside environment. The study covers the main areas AR, ARKit and ARCore. Limitations – The experimental study was only performed using ARKit, the reason being that the only testing device available was iOS

Subfields: Biomedical Engineering, Pathology and Forensic Medicine, Surgery

View Paper: https://www.semanticscholar.org/paper/c1e008ca2f65b0078528afe774b1329263e8b246

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  1. Yushan Siriwardhana
  2. Madhusanka Liyanage
  3. Pawani Porambage
  4. Mika E. Ylianttila
  5. Michael Kerres
  6. Josef Buchner
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