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Collaborative Visualization of Environmental Simulation Result and Sensing Data Using Augmented Reality

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7467))

Abstract

Thermal environment deterioration is a serious problem. To solve this problem, qualitative and quantitative evaluation is necessary. Computational Fluid Dynamics (CFD) analysis result and sensing data should be represented more comprehensively so that novice people can understand and join discussion on environmental design. In this research, therefore, a visualization technique is proposed, combining visualization of CFD analysis result or sensing data with Augmented Reality (AR), which can superimpose virtual objects onto the video image. By using this system, multiple users, wearing head mounted displays (HMD) can view the analysis result or sensing data onto the video image of outdoors and can investigate countermeasures to solve environmental problems cooperatively. So far, an AR-based outdoor CFD analysis result visualization system has been developed by adopting our accurate registration technique for outdoor AR using point cloud data. An AR-based outdoor sensing data visualization system is under development.

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References

  1. Yoshida, S.: CFD analysis of outdoor thermal environment incorporated multifractional human thermoregulation model. Journal of the Japan Society of Fluid Mechanics 30(2), 87–96 (2011) (in Japanese)

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  2. Yabuki, N., Hamada, Y., Fukuda, T.: Development of an accurate registration technique for outdoor augmented reality using point cloud data. In: Proceedings of the 14th International Conference on Computing in Civil and Building Engineering (2012)

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© 2012 Springer-Verlag Berlin Heidelberg

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Yabuki, N., Furubayashi, S., Hamada, Y., Fukuda, T. (2012). Collaborative Visualization of Environmental Simulation Result and Sensing Data Using Augmented Reality. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2012. Lecture Notes in Computer Science, vol 7467. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32609-7_32

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  • DOI: https://doi.org/10.1007/978-3-642-32609-7_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32608-0

  • Online ISBN: 978-3-642-32609-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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