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1.
  • Diederichs, Frederik, et al. (författare)
  • Adaptive transitions for automation in cars, trucks, buses and motorcycles
  • 2020
  • Ingår i: IET Intelligent Transport Systems. - : INST ENGINEERING TECHNOLOGY-IET. - 1751-956X .- 1751-9578. ; 14:8, s. 889-899
  • Tidskriftsartikel (refereegranskat)abstract
    • Automated vehicles are entering the roads and automation is applied to cars, trucks, buses, and even motorcycles today. High automation foresees transitions during driving in both directions. The driver and rider state become a critical parameter since reliable automation allows safe intervention and transit control to the automation when manual driving is not performed safely anymore. When the control transits from automation to manual an appropriate driver state needs to be identified before releasing the automated control. The detection of driver states during manual and automated driving and an appropriate design of the human-machine interaction (HMI) are crucial steps to support these transitions. State-of-the-art systems do not take the driver state, personal preferences, and predictions of road conditions into account. The ADAS&ME project, funded by the H2020 Programme of the European Commission, proposes an innovative and fully adaptive HMI framework, able to support driver/rider state monitoring-based transitions in automated driving. The HMI framework is applied in the target vehicles: passenger car, truck, bus, and motorcycle, and in seven different use cases.
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  • Dukic Willstrand, Tania, 1975-, et al. (författare)
  • Collecting end-users needs regarding driver state-based automation in the ADAS&ME project
  • 2018
  • Konferensbidrag (refereegranskat)abstract
    • The EU funded project ADAS&ME (Adaptive ADAS to support incapacitated drivers & Mitigate Effectively risks through tailor made HMI under automation) develops adapted Advanced Driver Assistance Systems. A web based survey was designed to collect the opinion of ADAS&ME end-users about automated functions that could support the driver/rider during different driving tasks. In total, 1094 persons answered the survey. The results reveal that most of the participants had heard of automated functions previously, and that about half of them also had experience using such functions. Several participants indicated concerns about data security. Furthermore, the results give an insight into how end-users perceive automation and what they see as advantages and limitations for implementation of automated driving systems corresponding to the ADAS&MEs’ goals.
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