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State of the Art of Non-vision-Based Localization Technologies for AR in Facility Management

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Augmented Reality, Virtual Reality, and Computer Graphics (AVR 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12242))

Abstract

Augmented reality (AR) applications for indoor purpose mostly use vision-based localization systems. However, even with AI-based algorithms, reachable accuracies are quite low. In the field of facility management an important functionality is the possibility to go for a high localization accuracy to display information, warnings or instructions at the correct position, if necessary. Simple vision-based solutions, like QR codes, are widely used. However, they show a high effort during installation and the advantages of using AR are limited. Thus, a state-of-the-art review for non-vision-based indoor localization technologies was carried out. Moreover, an evaluation with respect to usability for augmented reality applications was done. A scenario of the application of AR in the facility management environment is described based on the review results. For use-cases with high accuracy, tracking systems like infrared-based camera systems are a preferable solution. Also, ultrasonic could be a cheap solution for a medium accuracy tracking. For a simple room-based localization Bluetooth beacons and other hybrid indoor position technologies are preferred.

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Acknowledgement

The research leading to these results has received funding from the European Regional Development Fund (Fondo Europeo di Sviluppo Regionale FESR Alto Adige 2014–2020) under the Grant Agreement n. FESR 1064 CUP B51B17000850007.

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Authors and Affiliations

  1. Fraunhofer Italia, Via A. Volta 13 A, 39100, Bolzano, Italy

    Dietmar Siegele, Marco Piovano, Carmen Marcher & Dominik T. Matt

  2. Territorium Online Srl, Via B. Buozzi 12, 39100, Bolzano, Italy

    Umberto Di Staso

  3. Free University of Bozen-Bolzano, Piazza Università 5, 39100, Bolzano, Italy

    Carmen Marcher & Dominik T. Matt

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  1. Dietmar Siegele
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Correspondence to Dietmar Siegele .

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  1. University of Salento, Lecce, Italy

    Lucio Tommaso De Paolis

  2. University of Paris-Sud, Orsay, France

    Patrick Bourdot

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Siegele, D., Di Staso, U., Piovano, M., Marcher, C., Matt, D.T. (2020). State of the Art of Non-vision-Based Localization Technologies for AR in Facility Management. In: De Paolis, L., Bourdot, P. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2020. Lecture Notes in Computer Science(), vol 12242. Springer, Cham. https://doi.org/10.1007/978-3-030-58465-8_20

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