Development of a Driver-State Adaptive Co-Driver as Enabler for Shared Control and Arbitration

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dc.contributor.authorCastellano, Andrea
dc.contributor.authorCarbonara, Giuseppe
dc.contributor.authorDiaz, Sergio
dc.contributor.authorMarcano, Mauricio
dc.contributor.authorTango, Fabio
dc.contributor.authorMontanari, Roberto
dc.contributor.editorStephanidis, Constantine
dc.contributor.editorAntona, Margherita
dc.contributor.editorNtoa, Stavroula
dc.contributor.institutionCCAM
dc.date.accessioned2024-07-24T11:54:29Z
dc.date.available2024-07-24T11:54:29Z
dc.date.issued2020
dc.descriptionPublisher Copyright: © 2020, Springer Nature Switzerland AG.
dc.description.abstractFor 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.en
dc.description.sponsorshipPRYSTINE has received funding within the Electronic Components and Systems for European Leadership Joint Undertaking (ECSEL JU) in collaboration with the European Union’s H2020 Framework Programme and National Authorities, under grant agreement No. 783190.
dc.description.statusPeer reviewed
dc.format.extent7
dc.identifier.citationCastellano , 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
dc.identifier.citationconference
dc.identifier.doi10.1007/978-3-030-60703-6_69
dc.identifier.isbn9783030607029
dc.identifier.issn1865-0929
dc.identifier.urihttps://hdl.handle.net/11556/2410
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85097232970&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofHCI International 2020 – Late Breaking Posters - 22nd International Conference, HCII 2020, Proceedings
dc.relation.ispartofseriesCommunications in Computer and Information Science
dc.relation.projectIDEuropean Union’s H2020 Framework Programme
dc.relation.projectIDNational Authorities
dc.relation.projectIDHorizon 2020 Framework Programme, H2020, 783190
dc.relation.projectIDElectronic Components and Systems for European Leadership, ECSEL
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsArbitration
dc.subject.keywordsHighly automated vehicles
dc.subject.keywordsHuman-machine cooperation
dc.subject.keywordsShared control
dc.subject.keywordsGeneral Computer Science
dc.subject.keywordsGeneral Mathematics
dc.titleDevelopment of a Driver-State Adaptive Co-Driver as Enabler for Shared Control and Arbitrationen
dc.typeconference output
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