Research

The MSU Mobility Studio encompasses research focused on integrated systems of communication and controls for autonomous and connected vehicles and their environment, as well as human engagement with autonomous technology at both the individual and societal levels.

Research areas include:

• Biometrics – to monitor not only the identity but also the health, well-being, and cognitive state of a vehicle’s occupants.
• Cybersecurity - high-assurance systems and cybersecurity at different layers of communications.
• Mobility Management - providing vehicle and pedestrian modeling and management for safety, efficiency, and predictive control.
• Data Fusion – developing frameworks for deep learning; integrated recognition and situational awareness for high-level recognition of the environment mimicking a “superhuman” level of recognition; and sensor data fusion for the three sensor modalities (radar, LiDAR, and multispectral cameras), including optimal fusion and the integration of fusion and joint deep learning.
• Sociomobility / Public policy  - Revolutionary changes in transportation systems can have far reaching social, economic, legal, and ethical implications, with a substantial potential for social upheaval. Our CAV research agenda, therefore, must consider potential social developments in conjunction with technological developments.
• User experience / Interface – Investigating ways to optimize driver situational awareness in autonomous vehicles, including in handover situations. Evaluating multimodal driver information display needs and how they should differ from non-autonomous modes. Considering how we can improve user experience that affect acceptance, trust, complacency etc.