The AREA Framework for Location-Based Smart Mobile Augmented Reality Applications

نویسندگان

  • Rüdiger Pryss
  • Philip Geiger
  • Marc Schickler
  • Johannes Schobel
  • Manfred Reichert
چکیده

During the last years, the computational capabilities of smart mobile devices have been continuously improved by hardware vendors, raising new opportunities for mobile application engineers. Mobile augmented reality can be considered as one demanding scenario demonstrating that smart mobile applications are becoming more and more mature. In the AREA (Augmented Reality Engine Application) project, we developed a powerful kernel that enables location-based, mobile augmented reality applications. On top of this kernel, mobile application developers can realize sophisticated individual applications. The AREA kernel, in turn, allows for both robustness and high performance. In addition, it provides a flexible architecture that fosters the development of individual location-based mobile augmented reality applications. As a particular feature, the kernel allows for the handling of points of interests (POI) clusters. Altogether, advanced concepts are required to realize a location-based mobile augmented reality kernel that are presented in this paper. Furthermore, results of an experiment are presented in which the AREA kernel was compared to other location-based mobile augmented reality applications. To demonstrate the applicability of the kernel, we apply it in the context of various mobile applications. As a lesson learned, sophisticated mobile augmented reality applications can be efficiently run on present mobile operating systems and be effectively realized by engineers using the AREA framework. We consider mobile augmented reality as a killer application for mobile computational capabilities as well as the proper support of mobile users in everyday life.

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تاریخ انتشار 2017