Constructing Real-time “Infrastructure Skeletons”

Tsukasa Mizutani
Institute of Industrial Science
Associate Professor
Realization of the quantification of surface shape and 3D visualization of the interiors of infrastructures such as roads, tunnels and railways using measurement technology with high-density lasers and ground penetrating radar (GPR), as well as analysis technology through digital signal processing and AI.
3D visualization of the interior
Mizutani lab.
Quantification of the infrastructure’s surface shape
Mizutani lab. and Aero Asahi Corp.

Related links

Research collaborators

  • Prof. Ishida, Graduate School of Engineering, UTokyo
  • Aero Asahi Corp.
  • Shutoko Engineering Company Limited.

Related publications

  • Takahiro Yamaguchi, Tsukasa Mizutani, Detection and Localization of Manhole and Joint Covers in Radar Images by Support Vector Machine and Hough Transform, Automation in Construction, No.126, 2021. March, accepted.
  • Takahiro Yamaguchi, Tsukasa Mizutani and Tomonori Nagayama, Mapping Subsurface Utility Pipes by 3D Convolutional Neural Network and Kirchhoff Migration using GPR Images, IEEE Transactions on Geoscience and Remote Sensing, Accepted,2020.
  • Hirotaka Hirano, Tsukasa Mizutani, Tetsuya Ishida, Satoshi Annaka, Kiyosi Suzuki, Evaluation of Local Deterioration of Pavement Surface by Spatial Frequency Analysis Based on Short-Time Fourier Transform, Journal of Japan Society of Civil Engineers, Ser. E1 (Pavement Engineering), Vol.74,No.3,pp.I_113-I_120.2018.(DOI: https://doi.org/10.2208/jscejpe.74.I_113) (in Japanese)

Related patents

Patent number: 6750861
Patent number: 6465421

SDGs

  • SDG9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
  • SDG11 Make cities and human settlements inclusive, safe, resilient and sustainable

Contact

  • Mizutani lab., IIS, UTokyo
  • Tel: +81-3-5452-6671
  • Email: takasa[at]iis.u-tokyo.ac.jp
    ※[at]=@
Access Map
Close
Kashiwa Campus
Close
Hongo Campus
Close
Komaba Campus
Close