Bridging the Gaps: Hybrid Tracking for Adaptive Mobile Augmented Reality

Hallaway, Drexel; Feiner, Steven; Höllerer, Tobias

doi:10.1080/08839510490462768

Cited by 30 publications

(15 citation statements)

References 22 publications

(32 reference statements)

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“…To measure the relative distance of user's movement accurately, some methods directly measure the distance of the foot with accelerator attached to user's toe [10]. By combining the approach of relative distance estimation with the approach based on positioning infrastructures, the cost for infrastructure can be decreased [2,11]. If the accuracy of the relative distance estimation increases, the number of devices of infrastructure decreases and the cost of positioning infrastructure can be low.…”

Section: Introductionmentioning

confidence: 98%

User Localization Using Wearable Electromagnetic Tracker and Orientation Sensor

Hamaguchi

Kanbara

Yokoya

2006

2006 10th IEEE International Symposium on Wearable Computers

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This paper describes a localization method with wearable electromagnetic sensor and orientation sensor for wearable computer users. Many user localization methods have been investigated to realize location-based services in a wide environment. The localization methods usually employ a hybrid approach in which user's position is estimated by using positioning infrastructures and dead reckoning such as a pedometer. However, the installation cost of infrastructures increases when the area expands, and the error of the pedometer is frequently caused by failures in walking locomotion detection and the difference between ideal and estimated step lengths. If the relative distance is accurately estimated by dead reckoning approach, the installation cost of infrastructures can be reduced. This paper proposes a new localization method that improves the estimation accuracy of step length in dead reckoning approach. The proposed method measures user's orientation and geometrical relationship between user's heel and waist with an orientation sensor and an electromagnetic tracker attached to user's body. When both feet come into contact with the ground, user's position is updated by adding the estimated step length which means the relationship between user's heels and the position estimated in the previous step. The proposed localization method has been experimented using a prototype system to evaluate the accuracy of the proposed method.

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Section: Introductionmentioning

confidence: 98%

User Localization Using Wearable Electromagnetic Tracker and Orientation Sensor

Hamaguchi

Kanbara

Yokoya

2006

2006 10th IEEE International Symposium on Wearable Computers

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“…One example is described in [7], however the authors are focusing on providing a nice hand-off between commercially available systems and their own sensors.…”

Section: Introductionmentioning

confidence: 99%

Dynamic gyroscope fusion in Ubiquitous Tracking environments

Pustka¹,

Klinker²

2008

2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality

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Ubiquitous Tracking (Ubitrack) setups, consisting of many previously unknown sensors, offer many possibilities to perform sensor fusion in order to increase robustness and accuracy. In particular, the dynamic combination of mobile and stationary trackers enables the creation of new wide-area tracking concepts.In this work, we present a setup in which a gyroscope is dynamically fused with three different mobile and stationary sensors, based on the concepts of Spatial Relationship Graphs (SRGs) and Patterns. For this, we contribute new patterns that, based on wellknown algorithms, enable the transformation of rotation velocity and the fusion with different absolute trackers. The usefulness of the approach is shown in a system that automatically reconfigures the SRG based on course tracking data, and, depending on the structure of this SRG, automatically selects a suitable fusion algorithm.

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“…Newman and Reitmayr introduced "Wide Area Indoor Sentient AR" [8] and "Outdoor Collaborative AR" [12] respectively, thus introducing Ubicomp concepts. Hybrid indoor and outdoor tracking systems, such as those of Hollerer [4] and Piekarski [10], have generally relied on a very specific blend of sensors, rather than dealing with the issue of how to exploit the arbitrary range of devices that happen to be deployed. Klinker et al first postulated that distributed tracking concepts [7] were necessary to propel AR beyond the confines of the laboratory into serious industrial settings, leading directly to the development of the DWARF [1] Table 2 shows the different sorts of events that typically take place in a "Ubiquitous AR" environment, as people and objects move around.…”

Section: Introduction and Related Workmentioning

confidence: 99%

Modelling and Handling Seams in Wide-Area Sensor Networks

Newman

Schall

Schmalstieg

2006

2006 10th IEEE International Symposium on Wearable Computers

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The fields of Wearable Computing, Augmented Reality and Ubiquitous Computing are in principle highly convergent, as they all promise a utopian future in which the devices embedded in the environment, our bodies and our clothes will have reached a level integration such that we can intuitively perceive and interact with our environment. However; the reality as practised in research labs and limited commercial deployments has been that budgetary and technical constraints have actually kept these fields separate and distinct. One manifestation of this separation is in the choice of sensors used to build systems in each domain. A truly cross-disciplinary project has to incorporate sensors of much greater heterogeneity than has occurred heretofore. The way in which sensors are deployed results in spatial seams that can act as obstacles to the provision of services across different areas. This paper takes an architectural approach to handling events from different tracking systems and maintaining a consistent spatial model ofpeople and objects. The principal distinguishing feature is the automatic derivation ofdataflow network ofdistributed sensors, dynamically and at run-time, based on requirements expressed by clients.

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Bridging the Gaps: Hybrid Tracking for Adaptive Mobile Augmented Reality

Cited by 30 publications

References 22 publications

User Localization Using Wearable Electromagnetic Tracker and Orientation Sensor

User Localization Using Wearable Electromagnetic Tracker and Orientation Sensor

Dynamic gyroscope fusion in Ubiquitous Tracking environments

Modelling and Handling Seams in Wide-Area Sensor Networks

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