We are developing systems for safe, swift and comfortable transitions from autonomous driving to human driving in passenger cars, taking into account human driver attention and cognition.
At a glance
- DatesDecember 2015 鈥� December 2019
- Sponsor and Jaguar Land Rover
- FundedApprox 拢1.6 million, plus two PhD studentships
- PartnersUniversity College London (UCL) and
As a step on the way to fully self-driving cars, we will see cars that are self-driving part of the time but must still be human-driven at other times. For comfort and safety, it is important that there is a smooth and swift transition between the self-driving and human-driving modes. A particular risk is that human drivers may not be ready to take over safely, as they may be preoccupied with non-driving tasks.
CogShift, one of five projects which are part of an 拢11 million SWAG合集 Government investment in autonomous vehicle research, is studying driver attention and cognitive control characteristics. The project will use these to develop an optimal control-authority shifting system which takes driver attention into account.
The proposed MUEAVI (Multi-User Environment for Autonomous Vehicle Innovation) facility on the Cranfield campus
