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2018 | OriginalPaper | Chapter

AI-Based VR Earthquake Simulator

Authors : Ryota Suzuki, Ryoki Iitoi, Yue Qiu, Kenji Iwata, Yutaka Satoh

Published in: Virtual, Augmented and Mixed Reality: Applications in Health, Cultural Heritage, and Industry

Publisher: Springer International Publishing

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Abstract

We propose a novel AI-based VR earthquake simulator that can easily simulate an arbitrary real indoor environment. The user first scans any room using inexpensive RGBD sensors, such as Kinect sensors. The automatic model generator then detects objects in RGBD data using a deep-learning-based classification method and generates 3D models given appropriate physical characteristics, such as centroid and friction. In this manner, users can obtain appropriate content for earthquake simulation simply by scanning the room. The content can provide the user with a real experience in the event of an earthquake in the room.

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Footnotes
1
Searched by https://​earthquake.​usgs.​gov/​earthquakes/​map/​ (referenced in Jan. 15, 2018).
 
2
Open access available at http://​www.​data.​jma.​go.​jp/​svd/​eqev/​data/​kyoshin/​jishin/​index.​html (in Japanese) (last confirmed in Jan. 23, 2018).
 
3
Program code for calculating IIR filter parameters available at http://​www.​mri-jma.​go.​jp/​Dep/​st/​member/​akatsuma/​program_​acc2seisogram.​c (last confirmed in Jan. 23, 2018).
 
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Metadata
Title
AI-Based VR Earthquake Simulator
Authors
Ryota Suzuki
Ryoki Iitoi
Yue Qiu
Kenji Iwata
Yutaka Satoh
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-91584-5_17