Development of a Driver-State Adaptive Co-Driver as Enabler for Shared Control and Arbitration
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2020
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Springer Science and Business Media Deutschland GmbH
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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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Publisher Copyright: © 2020, Springer Nature Switzerland AG.
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Castellano , A , Carbonara , G , Diaz , S , Marcano , M , Tango , F & Montanari , R 2020 , Development of a Driver-State Adaptive Co-Driver as Enabler for Shared Control and Arbitration . in C Stephanidis , M Antona & S Ntoa (eds) , HCI International 2020 – Late Breaking Posters - 22nd International Conference, HCII 2020, Proceedings . Communications in Computer and Information Science , vol. 1294 , Springer Science and Business Media Deutschland GmbH , pp. 538-544 , 22nd International Conference on Human-Computer Interaction, HCI International 2020 , Copenhagen , Denmark , 19/07/20 . https://doi.org/10.1007/978-3-030-60703-6_69
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