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AI-Based VR Earthquake Simulator

  • Ryota Suzuki
  • Ryoki Iitoi
  • Yue Qiu
  • Kenji Iwata
  • Yutaka Satoh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10910)

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.

Keywords

AI Earthquake simulator 3D reconstruction VR Deep-learning 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Ryota Suzuki
    • 1
  • Ryoki Iitoi
    • 2
  • Yue Qiu
    • 2
  • Kenji Iwata
    • 1
  • Yutaka Satoh
    • 1
    • 2
  1. 1.National Institute of Advanced Industrial Science and TechnologyTsukubaJapan
  2. 2.Tsukuba UniversityTsukubaJapan

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