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Adaptive transitions for automation in cars, trucks, buses and motorcycles

 
: Diederichs, Frederik; Knauss, Alessia; Wilbrink, Marc; Lilis, Yannis; Chrysochoou, Evangelia; Anund, Anna; Bekiaris, Evangelos; Nikolaou, Stella; Finér, Svitlana; Zanovello, Luca; Maroudis, Pantelis; Krupenia, Stas; Absér, Andreas; Dimokas, Nikos; Apoy, Camilla; Karlsson, Johan; Larsson, Annika; Zidianakis, Emmanouil; Efa, Alexander; Widlroither, Harald; Dai, Mengnuo; Teichmann, Daniel; Sanatnama, Hamid; Wendemuth, Andreas; Bischoff, Sven

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Volltext urn:nbn:de:0011-n-6150254 (1.7 MByte PDF)
MD5 Fingerprint: fe0c3aaef1424ba5e5a01bbdd76622f9
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Erstellt am: 20.3.2021


IET intelligent transport systems 14 (2020), Nr.8, S.889-899
ISSN: 1751-956X
ISSN: 1751-9578
European Commission EC
H2020; 68890; ADASANDME
Adaptive ADAS to support incapacitated drivers Mitigate Effectively risks through tailor made HMI under automation
Englisch
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IAO ()

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.

: http://publica.fraunhofer.de/dokumente/N-615025.html