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The Best Rated Human-Machine Interface Design for Autonomous Vehicles in the 2016 Grand Cooperative Driving Challenge
Chalmers University of Technology, Sweden.
University of Gothenburg, Sweden.
RISE - Research Institutes of Sweden, ICT, Viktoria.
2018 (English)In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 19, no 4, p. 1302-1307Article in journal (Refereed) Published
Abstract [en]

This paper provides an in-depth description of the best rated human-machine interface that was presented during the 2016 Grand Cooperative Driving Challenge. It was demonstrated by the Chalmers Truck Team as the envisioned interface to their open source software framework OpenDLV, which is used to power Chalmers' fleet of self-driving vehicles. The design originates from the postulate that the vehicle is fully autonomous to handle even complex traffic scenarios. Thus, by including external and internal interfaces, and introducing a show, don't tell principle, it aims at fulfilling the needs of the vehicle occupants as well as other participants in the traffic environment. The design also attempts to comply with, and slightly extend, the current traffic rules and legislation for the purpose of being realistic for full-scale implementation.

Place, publisher, year, edition, pages
2018. Vol. 19, no 4, p. 1302-1307
Keywords [en]
Autonomous vehicles, Bars, external interface., Human-machine interface, Legislation, Roads, Safety, Wheels, Accident prevention, Bars (metal), Computer programming, Fleet operations, Laws and legislation, Open source software, Open systems, Software engineering, Vehicles, Cooperative driving, Full-scale implementation, Human Machine Interface, Human-machine interface design, Internal interfaces, Traffic environment, Man machine systems
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-32422DOI: 10.1109/TITS.2017.2749970Scopus ID: 2-s2.0-85030769201OAI: oai:DiVA.org:ri-32422DiVA, id: diva2:1153820
Available from: 2017-10-31 Created: 2017-10-31 Last updated: 2018-05-04Bibliographically approved

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