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Adaptive Transitions for Automation in Cars, Trucks, Busses and Motorcycles

Diederichs, Frederik and Knauss, Alessia and Wilbrink, Marc and Lilis, Yannis and Chrysochoou, Evangelia and Anund, Anna and Bekiaris, Angelos and Finér, Svitlana and Zanovello, Luca and Maroudis, Pantelis and Krupenia, Stas and Absér, Andreas and Dimokas, Nikos and Apoy, Camilla and Karlsson, Johan and Larsson, Annika and Zidianakis, Emmanouil and Efa, Alexander and Widlroither, H. and Dai, Mengnuo and Teichmann, Daniel and Sanatnama, Hamid and Wendemuth, Andreas and Bischoff, Sven (2018) Adaptive Transitions for Automation in Cars, Trucks, Busses and Motorcycles. IET Intelligent Transport Systems. Institution of Engineering and Technology (IET). ISSN 1751-956X

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Abstract

Automated vehicles are entering the roads and automation is applied to cars, trucks, busses and even motorcycles today. High automation foresees transitions during driving in both directions. The driver and rider state become a critical parameter, since automation allows to safely intervene and hand 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 HMI are crucial steps to support these transitions. State of the art SAE Level 3 systems do not take the driver state, personal preferences and predictions of road conditions into account. The ADAS&ME project, funded by the H2020 program of the European Commission, proposes an innovative and fully adaptive humanmachine interaction 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.

Item URL in elib:https://elib.dlr.de/125519/
Document Type:Article
Title:Adaptive Transitions for Automation in Cars, Trucks, Busses and Motorcycles
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Diederichs, FrederikFraunhofer IAOUNSPECIFIED
Knauss, AlessiaAutolivUNSPECIFIED
Wilbrink, Marcmarc.wilbrink (at) dlr.dehttps://orcid.org/0000-0002-7550-8613
Lilis, YannisFORTHUNSPECIFIED
Chrysochoou, EvangeliaCentre for Research and Technology Hellas/Hellenic Institute of TransportUNSPECIFIED
Anund, AnnaSwedish National Road and Transport Research InstituteUNSPECIFIED
Bekiaris, AngelosCentre for Research and Technology Hellas/Hellenic Institute of TransportUNSPECIFIED
Finér, SvitlanaSEYEUNSPECIFIED
Zanovello, LucaDUCATIUNSPECIFIED
Maroudis, PantelisVALEOUNSPECIFIED
Krupenia, StasUNSPECIFIEDUNSPECIFIED
Absér, AndreasUNSPECIFIEDUNSPECIFIED
Dimokas, NikosUNSPECIFIEDUNSPECIFIED
Apoy, CamillaUNSPECIFIEDUNSPECIFIED
Karlsson, JohanUNSPECIFIEDUNSPECIFIED
Larsson, AnnikaUNSPECIFIEDUNSPECIFIED
Zidianakis, EmmanouilUNSPECIFIEDUNSPECIFIED
Efa, AlexanderUNSPECIFIEDUNSPECIFIED
Widlroither, H.Fraunhofer-Institute for Industrial EngineeringUNSPECIFIED
Dai, MengnuoUNSPECIFIEDUNSPECIFIED
Teichmann, DanielUNSPECIFIEDUNSPECIFIED
Sanatnama, HamidUNSPECIFIEDUNSPECIFIED
Wendemuth, AndreasUni MagdeburgUNSPECIFIED
Bischoff, SvenUNSPECIFIEDUNSPECIFIED
Date:2018
Journal or Publication Title:IET Intelligent Transport Systems
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Publisher:Institution of Engineering and Technology (IET)
ISSN:1751-956X
Status:Accepted
Keywords:DRIVING ASSISTANCE SYSTEMS, HUMAN MACHINE INTERACTION, HUMAN FACTORS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Terrestrial Vehicles (old)
DLR - Research area:Transport
DLR - Program:V BF - Bodengebundene Fahrzeuge
DLR - Research theme (Project):V - Fahrzeugintelligenz (old)
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Development of vehicle functions
Deposited By: Dziennus, Marc
Deposited On:28 Dec 2018 13:40
Last Modified:06 Sep 2019 15:19

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