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Intelligent Mobility Lab
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The lab works to make cars and single-seat vehicles smarter, aiming for safe mobility.
AboutAbout the lab
Autonomy and cooperation for next-generation mobility
The Intelligent Mobility Lab studies next-generation mobility that combines two approaches to intelligence: autonomous and cooperative.
The lab works on perceiving driving environments using onboard sensors and IoT technology, autonomous control of various vehicles, and human-machine cooperative control.
Its research covers not only cars but also personal mobility, meaning single-seat electric vehicles.
The lab aims to contribute to a safe and secure mobility society.
Key terms
- Personal mobility
- Small single-seat electric vehicles, including things like electric wheelchairs.
- Human-machine cooperation
- A system in which humans and machines make use of each other's strengths and work together on tasks such as driving.
- Smart city
- A city that uses data collected through sensors and communications in the systems of daily life, such as transportation and energy.
NewsLab news
New paper published in an academic journal
Lecturer Ito received the Paper Award from the Society of Automotive Engineers of Japan
ResearchResearch themes
The lab studies how to make cars and personal mobility intelligent by combining two approaches: autonomous and cooperative intelligence. It develops technologies for perceiving the driving environment and controlling vehicles, researches human-machine cooperative systems, and evaluates their user acceptance.
*Illustrative imageAutonomous Mobility That Integrates Information
Research on autonomous intelligent mobility that combines information from onboard sensors with spatial information and knowledge-based information.
*Illustrative imageMaps for Cars and Personal Mobility
Research on unifying the map information used by intelligent cars and by intelligent personal mobility.
*Illustrative imageMobility That Makes Use of Smart Cities
Research on intelligent mobility that utilizes the information resources of smart cities.
*Illustrative imageMaking Cars Intelligent
Research on automated driving and advanced driver assistance systems. The lab works on driving environment perception, vehicle control, human-machine cooperation, and evaluation of user acceptance, meaning whether users will accept the technology.
MembersFaculty
The members of the Intelligent Mobility Lab consist of faculty members, master's students, and undergraduate students.As of 2026
- LecturerTakuma ItoPublications ↗
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Zoox Toyota Highlander Test Vehicle - Sensor Closeup - San Francisco, May 2025 07” 9yz / CC BY 4.0 (cropped)
- Autonomous Mobility That Integrates Information: “Austin Texas LiDAR Point Cloud (Highway 183)” Rebecca equator / CC BY-SA 4.0 (cropped)
- Maps for Cars and Personal Mobility: “Ouster OS1-64 lidar point cloud of intersection of Folsom and Dore St, San Francisco” Daniel L. Lu / CC BY 4.0 (cropped)
- Mobility That Makes Use of Smart Cities: “Car2x communication” Hans-J. Brehm / CC BY-SA 4.0 (cropped)
- Making Cars Intelligent: “Autow” Bbho / CC BY-SA 4.0 (cropped)
- Related lab (趙研究室): “Quadrixette” HaSe / CC BY-SA 4.0 (cropped)
- Related lab (長藤研究室): “FZU 3Dprinting 1” René Volfík / CC BY-SA 4.0 (cropped)
- Related lab (山川研究室): “Prototype robot parallèle PAR4” FrancoisPierrot34 / CC BY-SA 4.0 (cropped)
- Related lab (GV lab(ベンチャー研究室)): “Robot Arm (NIH BioArt 457)” Courtesy of NIAID Ryan Kissinger / Public domain (cropped)
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