Investigating all aspects of driving, including:
- driving and sharing driving between a vehicle driver and a sensor system,
- non-model-based control of a wheeled vehicle,
- modelling of a vehicle and a vehicle pulling one or more trailers,
- learning to drive,
- assistance and support with learning to drive,
- the effect of tiredness and time spent driving,
- driving mobile robots,
- and the ability to drive in different situations.
Sharing driving between a vehicle driver and a sensor system using trust-factors to set control gains
Non-model-based control of a wheeled vehicle pulling two trailers to provide early powered mobility and driving experiences
- Driving and driver learning is different when provided with different levels of sensor support.
- Learning should be adjusted when providing different levels of sensor support
Rule-based system to assist a tele-operator with driving a mobile robot.
- Use of "self-reliance factors" can help, especially in deciding how to share control between humans and sensors
- Varying the level of sensor support varies ability to drive.
- Driving can be shared between a vehicle driver and a sensor system using trust-factors to set control gains.