AR Visualization of Inundation in Underground Spaces Using CG-based Image Feature Points


Recently, due to the global warming and heat island effects, many urban areas meet heavy rainfalls, which often exceed drainage capacity of sewerage systems and lead to damage of inundation above and/or under the floor... [ view full abstract ]


  1. Makoto Hirose (Kansai University)
  2. Hiroshige Dan (Kansai University)
  3. Taira Ozaki (Kansai University)
  4. Satoshi Kubota (Kansai University)
  5. Taisuke Ishigaki (Kansai University)
  6. Yoshihiro Yasumuro (Kansai University)

Topic Areas

Laser scanning and photogrammetry , Visualization and VR/AR


O12 » Underground Construction (14:45 - Wednesday, 6th June, Sonaatti 2)



Presentation Files

The presenter has not uploaded any presentation files.