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

Andrea Castellano*, Giuseppe Carbonara, Sergio Diaz, Mauricio Marcano, Fabio Tango, Roberto Montanari

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaHCI International 2020 – Late Breaking Posters - 22nd International Conference, HCII 2020, Proceedings
EditoresConstantine Stephanidis, Margherita Antona, Stavroula Ntoa
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas538-544
Número de páginas7
ISBN (versión impresa)9783030607029
DOI
EstadoPublicada - 2020
Evento22nd International Conference on Human-Computer Interaction, HCI International 2020 - Copenhagen, Dinamarca
Duración: 19 jul 202024 jul 2020

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1294
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia22nd International Conference on Human-Computer Interaction, HCI International 2020
País/TerritorioDinamarca
CiudadCopenhagen
Período19/07/2024/07/20

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