About

Established in 2010
Director : Professor Masatoshi Shimoda

Research Outline

We are conducting research on a wide range of vehicles, from land mobility such as automobiles to air mobility and space mobility. We are advancing research on future technologies for sustainable development from both software and hardware, for functionality and safety including advanced intelligence, and also for eliminating the burden on people and the earth.

Members

[Fluid Engineering Laboratory]
Professor Taro Handa
Associate Professor Yasumasa Watanabe

[Solid Mechanics Laboratory]
Professor Masatoshi Shimoda
Associate Professor Yoshinori Shiihara

[Design Engineering Laboratory]
Associate Professor Masakazu Kobayashi

[Innovative Machine Laboratory]
Professor Katsushi Furutani

[Electromagnetic Energy System Laboratory]
Professor Keisuke Fujisaki

[Control System Laboratory]
Associate Professor Michihiro Kawanishi

[Computational Intelligence Laboratory]
Professor Yutaka Sasaki
Associate Professor Makoto Miwa

[Intelligent Information Media Laboratory]
Professor Norimichi Ukita

[Mechanical Systems Engineerings]
Assistant professor Akira Urita

[Research Center for Smart Vehicles]
Senior Researcher Tokihiko Akita

Research Themes

Recognition of the environment around vehicles
Autonomous driving technologies
Structure optimization
Energy optimization

Miscellaneous

[Fluid Engineering Laboratory]

- Active control of transonic/supersonic/hypersonic flow
- Development of system for non-intrusive measurement of high-speed flow

Fig.1 Several tens of kHz flapping-jet actuator for active control of transonic/supersonic flow

Fig.2 Active control of supersonic/hypersonic flow by plasma discharge

[Solid Mechanics Laboratory]

-Shape and topology optimization method for multi-material structure and its application
-Concurrent multi-scale optimization method for macro- and microstructures
-Application of neural networks to structural optimal design
-Structural design based on biomimicry

[Design Engineering Laboratory]

- Haptic based remote control for UAV
- Efficient structural optimization using deep learning techniques
- Optimization of shell structures considering buckling
- Evaluation of comfort in automobile cabins based on electroencephalogram (EEG) measurements

[Innovative Machine Laboratory]

- 3D-printing by electrical discharge
- Machining of hard and brittle materials

[Electromagnetic Energy System Laboratory]

[Control System Laboratory]

- Vehicle group control with Robust multi-agent control theory

- Traffic flow control

[Computational Intelligence Laboratory]

- Driving knowledge base construction

- Automatic solution of driver's license exam questions

- Dialogue control in self-driving cars

[Intelligent Information Media Laboratory]

- Scene understanding using in-vehicle cameras
- Understanding the behaviors and actions of vehicle passengers

[Research Center for Smart Vehicles]

- Integrated environment recognition system using various sensors

- Driving environment recognition applying deep neural network

- Scene understanding with millimeter-wave radar using deep neural network