%0 Generic
%A Castellano, Andrea
%A Carbonara, Giuseppe
%A Diaz, Sergio
%A Marcano, Mauricio
%A Tango, Fabio
%A Montanari, Roberto
%T Development of a Driver-State Adaptive Co-Driver as Enabler for Shared Control and Arbitration
%J Communications in Computer and Information Science
%D 2020
%@ 1865-0929
%U https://hdl.handle.net/11556/2410
%X For automated and partially automated cars, there are new crucial questions to answer: “When should the driver or the automated system take control of the vehicle?" ; and also: “Can both control the vehicle together at the same time, or can this create potential conflicts?". These are non-trivial issues because they depend on different conditions, such as the environment, driver’s state, vehicle capabilities, and fault tolerance, among others. This paper will describe a human-machine cooperation approach for collaborative driving maneuvers, developed in the EU funded project PRYSTINE. In particular, this study presents the work-in-progress and will focus attention on the proposed architecture design and the corresponding use case for testing.
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