Institute of Software Defined Vehicles

Project Research Institutes

Institute of Software Defined Vehicles

Director

Seiichiro KAMATA

In recent years, the automotive industry has been actively advancing research on Software-Defined Vehicles (SDVs), which enable the maintenance and enhancement of vehicle performance through software updates.
In response to this trend, our research institute is engaged in R&D in the following areas, leveraging AI-related technologies:

Perception functions for recognizing the surrounding environment
Decision-making and planning functions to enable autonomous driving
Network security functions to ensure vehicle safety
Automatic control technologies that optimize the integration between control systems and hardware

By conducting integrated research across these domains, we aim to realize next-generation mobility that is more advanced, safe, and efficient.

Research on autonomous driving systems and AI software modeling ╢

 Research themes
 Project members
 Contact

Research and development toward the realization of SDV

We will mainly conduct the following four studies toward the realization of SDV.

1. Perception and trajectory prediction modeling study

SDV is required to achieve even faster and more accurate recognition performance in the field of vehicle surround environment recognition using deep learning. We drive advancements in perception technologies as a backbone and trajectory prediction technologies as more reliable path-planning.

2. Decision modeling study

SDV has a high demand to use multimodal information obtained through perception to make more reliable driving decisions. This study set a target for improving the performance of decision-making technologies on the integrated control of the entire vehicle and ensure safe driving.

3. Control modeling study

Model-based control studies modeling vehicle systems for the control target and high efficient control technologies using this model. We reproduce phenomena occurring in vehicles in the real world as a model on computer, repeat performing simulations from the design stage, and then can continue this study more efficiently.

4. In-vehicle security study

With wide spread of connected cars since around 2010, the risk of cyberattacks has been increasing rapidly. We study several in-vehicle security measures of protection of in-vehicle system information and personal information, ensuring the safety of updates of OTA (Over The Air), etc.

Director

KAMATA, Seiichiro　Professor, Graduate School of Information, Production, and Systems, Faculty of Science and Engineering

Researchers

HASHIMOTO, Kenji　Professor, Graduate School of Information, Production, and Systems, Faculty of Science and Engineering
KAMATA, Seiichiro　Professor, Graduate School of Information, Production, and Systems, Faculty of Science and Engineering
MORI, Tatsuya　Professor, School of Fundamental Science and Engineering, Faculty of Science and Engineering
TATENO, Shigeyuki　Professor, Graduate School of Information, Production, and Systems, Faculty of Science and Engineering
YAMAGUCHI, Kyohei　Associate Professor, Graduate School of Information, Production, and Systems, Faculty of Science and Engineering

Kamata Laboratory

2-7 Hibikino, Wakamatsu-ku, Kitakyushu city, Fukuoka, 808-0135
Room N203, Kitakyushu Campus, Waseda University
TEL : 093-692-5219 (Direct)

Page Top 

Project Research Institutes