Constructing Real-time “Infrastructure Skeletons”

2.5 Cloud Data Center Design and Implementation Technologies
3.5 Spatial Information (Remote Sensing, Environmental Monitoring, COVID-19 Countermeasures)
3.7 Data Applications
3.8 Smart City, City Operating Systems

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.

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)