“Spatial Sensing: Real-Time Immersive Environmental Sensing” by Humml
Conference:
Experience Type(s):
Title:
- Spatial Sensing: Real-Time Immersive Environmental Sensing
Developer(s):
Interest Areas(s):
- Research / Education
Description:
Machine-Guided Spatial Sensing uses augmented reality and human interaction to efficiently map environmental fields, such as air flows or gas concentrations. Continuous real-time data analysis updates the field map and guides the user’s handheld sensor to optimal measurement points, enhancing accuracy.
References:
[1] Lonni Besançon, Anders Ynnerman, Daniel F Keefe, Lingyun Yu, and Tobias Isenberg. 2021. The state of the art of spatial interfaces for 3D visualization. In Computer Graphics Forum, Vol. 40. Wiley Online Library, 293–326.
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[2] Steve Bryson. 1996. Virtual reality in scientific visualization. Commun. ACM 39, 5 (1996), 62–71.
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[3] Steve Bryson, Creon Levit, et al. 1992. The virtual wind tunnel. IEEE Computer graphics and Applications 12, 4 (1992), 25–34.
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[4] Julian Humml, Thomas Rösgen, and Morteza Gharib. 2024b. Unveiling the Invisible: Interactive Spatial Sensing Transforms Air Flow Measurement. In ACM SIGGRAPH 2024 Immersive Pavilion. 1–2.
[5] Julian Humml, Frank Schaufelberger, Thomas Rösgen, and Daniel W Meyer. 2023. Real-time flow measurement system: physics-informed reconstruction and sampling strategy. Flow 3 (2023), E3.
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[6] Julian M Humml, Victor Cohen, Fernando Perez-Cruz, Morteza Gharib, and Thomas Rösgen. 2024a. Augmented Reality Guided Aerodynamic Sampling. In AIAA SCITECH 2024 Forum. 1382.
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[7] Benjamin Lee, Michael Sedlmair, and Dieter Schmalstieg. 2023. Design patterns for situated visualization in augmented reality. IEEE Transactions on Visualization and Computer Graphics (2023).
