Proceedings of the ACM Symposium on Virtual Reality Software and Technology 2006
DOI: 10.1145/1180495.1180505
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Development of a tracking method for augmented reality applied to NPP maintenance work and its experimental evaluation

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Cited by 5 publications
(2 citation statements)
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“…Project ARVIKA [5] promoted the progress of AR technologies in the automotive and aerospace industries since 2002, focusing specifically on the power and process plants, as well as on machine tools and production gear. An AR system for the inspection of power plants was proposed by Klinker et al [6] and an AR solution aimed to increasing the efficiency of nuclear powerplants while reducing human errors by means of more effective maintenance interventions was presented by Shimoda and co‐workers [7]. AR‐based scene filtering, revealing information hidden by an occluding object, was developed by Mendez et al [8] to enhance interesting info or to suppress distracting elements.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Project ARVIKA [5] promoted the progress of AR technologies in the automotive and aerospace industries since 2002, focusing specifically on the power and process plants, as well as on machine tools and production gear. An AR system for the inspection of power plants was proposed by Klinker et al [6] and an AR solution aimed to increasing the efficiency of nuclear powerplants while reducing human errors by means of more effective maintenance interventions was presented by Shimoda and co‐workers [7]. AR‐based scene filtering, revealing information hidden by an occluding object, was developed by Mendez et al [8] to enhance interesting info or to suppress distracting elements.…”
Section: Related Workmentioning
confidence: 99%
“…Nevertheless, each of the various tracking approaches available today could be suitable to a particular applicative context, depending on indoor or outdoor usage, size of operating volume, presence or absence of ferromagnetic materials and electromagnetic fields and so on. Among the aforementioned methodologies, optical tracking is generally recognised as the only tracking methodology featuring non‐invasive and accurate co‐registration [12] either in the marker‐based [7, 13] or the markerless [1417] variants. In this paper, the testbed system is based on a multi‐marker tracking algorithm that results suited to the characteristics of the target environment, including the presence of small components and the proximity of intense electromagnetic fields.…”
Section: Related Workmentioning
confidence: 99%