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The Best Rated Human-Machine Interface Design for Autonomous Vehicles in the 2016 Grand Cooperative Driving Challenge

Journal article
Authors Ola Benderius
Christian Berger
Victor Malmsten Lundgren
Published in IEEE Transactions on Intelligent Transportation Systems
Volume 19
Issue 4
ISSN 1524-9050
Publication year 2017
Published at Institutionen för data- och informationsteknik, Software Engineering (GU)
Language en
Links https://doi.org/10.1109/TITS.2017.2...
Keywords Autonomous vehicles, autonomous vehicles, Bars, external interface., Human-machine interface, Legislation, Roads, Safety, Wheels
Subject categories Computer Vision and Robotics (Autonomous Systems)

Abstract

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.

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