Ubiquitous Tracking for Augmented Reality

Position and orientation tracking is a major challenge for Mixed / Augmented Reality applications, especially in heterogeneous and wide-area sensor setups. In this article, we describe trackman, a planning and analysis tool which supports the AR-engineer in setup and maintenance of the tracking infrastructure. A new graphical modeling approach based on spatial relationship graphs (SRGs) eases the specification of known as well as the deduction of new relationships between entities in the scene. Modeling is based on reusable patterns representing the underlying sensor drivers or algorithms. Recurring constellations in the scene can be condensed into reusable meta-patterns. The process is further simplified by semiautomatic modeling techniques which automize trivial steps. Dataflow networks can be generated automatically from the SRG and are guaranteed to be semantically correct. Furthermore, generic tools are described that allow for the calibration/registration of static spatial transformations as well as for the live surveillance of tracking accuracy. In summary, this approach reduces tremendously the amount of expert knowledge needed for the administration of tracking setups.

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“…The concept of spatial relationship graphs (SRGs) was proposed in [13]. A simple example is shown in Figure 1(a).…”

Section: Spatial Relationship Graphsmentioning

confidence: 99%

Management of Tracking for Mixed and Augmented Reality Systems

Keitler

Pustka

Huber

et al. 2009

The Engineering of Mixed Reality Systems

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“…In our previous work [8] we have successfully demonstrated a Ubitrack system that dynamically instantiates data flow components to convert 6DOF tracking information from various sources into a target coordinate system convenient for the application programmer. Unfortunately, the system did not have the required performance for larger setups in terms of processor load and reaction time to structural changes in the environment.…”

Section: Related Workmentioning

confidence: 99%

“…Compared to the pure peer-to-peer approach described in [8], the coordination and maintenance of a tracking environment is much easier using the client-server-approach. For the highly time-critical propagation of tracking data, however, we benefit from using the shortest communication paths between suppliers and consumers, avoiding latency due to the indirection via a server and, as a consequence, avoiding also the corresponding processing load for the server.…”

Section: Overviewmentioning

confidence: 99%

A System Architecture for Ubiquitous Tracking Environments

Huber

Pustka

Keitler

et al. 2007

2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality

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Ubiquitous tracking setups, covering large tracking areas with many heterogeneous sensors of varying accuracy, require dedicated middleware to facilitate development of stationary and mobile applications by providing a simple interface and encapsulating the details of sensing, calibration and sensor fusion.In this paper we present a centrally coordinated peer-to-peer architecture for ubiquitous tracking, where a server computes optimal data flow configurations for sensor and application clients, which are directly exchanging tracking data with low latency using a lightweight data flow framework. The server's decisions are inferred from an actively maintained central spatial relationship graph using spatial relationship patterns.The system is compared to a previous Ubitrack implementation using the highly distributed DWARF middleware. It exhibits significantly better performance in a reference scenario. MOTIVATIONIn industrial augmented reality scenarios, there is a growing demand for integrated working environments which span large factory buildings. In such an environment, many different mobile and stationary AR-supported applications, such as logistics, production, maintenance or factory planning may coexist and require shared access to permanent tracking with varying accuracy requirements. Today, no single technology exists that satisfies the tracking requirements of all these applications and can -at least for a reasonable price -be deployed throughout such an environment. For this reason, in a realistic setup, many different tracking systems would be installed ranging from low-precision wide-area WLAN tracking to infrared-optical systems covering only small areas with high accuracy. The installation, maintenance and expansion of such a largescale heterogeneous tracking environment poses new challenges to the underlying middleware concepts.Heterogeneous wide-area tracking environments Emerging tracking methods based on technologies like WLAN or RFID provide the possibility to deploy tracking to ever-enlarging indoor areas. With increasing tracker coverage, a larger diversity of AR applications will need to share this tracking infrastructure. Stationary applications that are already in use will more and more be complemented by mobile applications that would have been completely impossible without wide-area tracking. Also, applications that are stationary today, might benefit from enlarging tracking areas and * e-mail: { huberma, pustka, keitler, echtler, klinker }@in.tum.de become more adaptive and better integrated in the productive environment. Many of these wide-area tracking systems have the drawback of being rather imprecise. Nevertheless, they serve quite well for navigation problems and can thereby bridge the gap between islands of higher tracking accuracy. Furthermore, they can provide useful initial positions to other sensors, such as markerless optical trackers [7]. There are also many examples where a fusion of measurements from different mobile and stationary sensors improves overall trac...

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“…The concept of augmented reality seems to be succefully implemented on mobiles and by combining Mobile Augmented reality, real time rendering and ubiquitous; the idea is to develop a real time translator that will translate Bahasa language to English language and give meanings of the words translated, anywhere to any environment whenever desired (ubiquitous). This application is mostly based on education that is providing or diverting knowledge to people who actually need it [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Ubiquitous Mobile Real Time Visual Translator Using Augmented Reality for Bahasa Language

Parhizkar¹,

Oteng²,

Ndaba³

et al. 2013

IJIET

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Abstract-Mobile technology have rapidly advanced over the years, successful researches of augmented reality on mobile phones under the different mobile platforms have made it possible to implement augmented reality technology on mobiles. Now the possibility of combining real time visual with augmented reality seems to be a success. This paper is simply to emphasize on combining real time visual with augmented reality technology on mobiles for education purpose. The research is based on how the implementation of real time visual translator on augmented reality mobile applications can help people in understanding/translating and give meanings to some writings displayed around them ubiquitously.

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Ubiquitous Tracking for Augmented Reality

Cited by 49 publications

References 16 publications

Management of Tracking for Mixed and Augmented Reality Systems

Management of Tracking for Mixed and Augmented Reality Systems

A System Architecture for Ubiquitous Tracking Environments

Ubiquitous Mobile Real Time Visual Translator Using Augmented Reality for Bahasa Language

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