CogShift - Typical Trial

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dc.contributor.authorCecotti, Marco
dc.date.accessioned2024-06-11T09:38:47Z
dc.date.available2024-06-11T09:38:47Z
dc.date.issued2023-12-11 15:47
dc.description.abstractThis is the video of one of the vehicle trials for the CogShift project. CogShift, one of five projects which are part of an £11 million UK Government investment in autonomous vehicle research, studied driver attention and cognitive control characteristics. The project developed an optimal control-authority shifting system which takes driver attention into account. More information can be found at https://www.cranfield.ac.uk/research-projects/cogshift.
dc.description.sponsorshipTASCC: Driver-Cognition-Oriented Optimal Control Authority Shifting for Adaptive Automated Driving (CogShift)
dc.identifier.citationCecotti, Marco (2023). CogShift - Typical Trial. Cranfield Online Research Data (CORD). Media. https://doi.org/10.17862/cranfield.rd.24787581
dc.identifier.doi10.17862/cranfield.rd.24787581
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22431
dc.publisherCranfield University
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAutonomous car'
dc.subject'Driverless Cars'
dc.subject'Human Factors'
dc.titleCogShift - Typical Trial
dc.typeMedia

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