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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationHCI International 2020 – Late Breaking Posters - 22nd International Conference, HCII 2020, Proceedings
EditorsConstantine Stephanidis, Margherita Antona, Stavroula Ntoa
PublisherSpringer Science and Business Media Deutschland GmbH
Pages538-544
Number of pages7
ISBN (Print)9783030607029
DOIs
Publication statusPublished - 2020
Event22nd International Conference on Human-Computer Interaction, HCI International 2020 - Copenhagen, Denmark
Duration: 19 Jul 202024 Jul 2020

Publication series

NameCommunications in Computer and Information Science
Volume1294
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference22nd International Conference on Human-Computer Interaction, HCI International 2020
Country/TerritoryDenmark
CityCopenhagen
Period19/07/2024/07/20

Keywords

  • Arbitration
  • Highly automated vehicles
  • Human-machine cooperation
  • Shared control

Fingerprint

Dive into the research topics of 'Development of a Driver-State Adaptive Co-Driver as Enabler for Shared Control and Arbitration'. Together they form a unique fingerprint.

Cite this