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DARGS: Dynamic AR Guiding System for Indoor Environments

Authors: Georg Gerstweiler; Karl Platzer; Hannes Kaufmann;

DARGS: Dynamic AR Guiding System for Indoor Environments

Abstract

Complex public buildings, such as airports, use various systems to guide people to a certain destination. Such approaches are usually implemented by showing a floor plan that has guiding signs or color coded lines on the floor. With a technology that supports six degrees of freedom (6DoF) tracking in indoor environments, it is possible to guide people individually, thereby considering obstacles, path lengths, or pathways for handicapped people. With an augmented reality (AR) device, such as a smart phone or AR glasses, the path can be presented on top of the real environment. In this paper, we present DARGS, an algorithm, which calculates a path through a complex building in real time. Usual path planning algorithms use either shortest paths or dynamic paths for robot interaction. The human factor in a real environment is not considered. The main advantage of DARGS is the incorporation of the current field of view (FOV) of the used device to visualize a more dynamic presentation. Rather than searching for the AR content with a small FOV, with the presented approach the user always gets a meaningful three-dimensional overlay of the path independent of the viewing direction. A detailed user study is performed to prove the applicability of the system. The results indicate that the presented system is especially helpful in the first few important seconds of the guiding process, when the user is still disoriented.

Related Organizations
Keywords

path visualization, Electronic computers. Computer science, indoor navigation, QA75.5-76.95, augmented reality; indoor navigation; path planning; path visualization, path planning, augmented reality

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Average
gold