ARVIKA - Augmented Reality for Development, Production and Service
W. Friedrich, D. Jahn, and L. Schmidt. International Status Conference - Lead Projects \textquotedblHuman-Computer Interaction\textquotedbl (Saarbrücken 2001), page 79–89. Berlin, DLR, (2001)
Augmented Reality (AR) is a form of human-machine interaction where information is presented in the field of view of an individual e. g. through a head mounted display, thus augmenting his or her perception of reality. This occurs in a context-sensitive manner, i. e. in accordance with and derived from the observed object, such as a part, tool or machine, or his or her location. In this way, the real-world field of view of a skilled worker, technician or design engineer is augmented with superimposed notes to present information that is relevant to this individual. ARVIKA develops this technology or applications in the fields of design, production, and service in the automotive and aerospace industries, for power and processing plants and for machine tools and production machinery. This technology offers special dimensions for mid-sized enterprises that can leverage an improved diagnostic and maintenance competence to increase their flexibility and efficiency, thereby strengthening their global competitive position. ARVIKA is primarily designed to implement an Augmented Reality system for mobile use in industrial applications. This article presents the milestones that have been achieved after a project duration of a full two years: A basic system for Augmented Reality systems was developed based on a specially designed software architecture. Initial application-specific prototypes have been created on this basis and have been evaluated in usability tests. The solutions that can be demonstrated today indicate a good progress of the project in terms of the basic technologies such as Augmented Reality (marker-based tracking), human machine
interaction as well as the AR-oriented information delivery and workflow, but they also show the challenges for further development. Significant improvements that need to be achieved during the second phase of the project include markerless tracking, the engineering e. g. of product models and AR scenes and the availability of documents that can be used in AR.