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Driver's turning intent recognition model based on brain activation and contextual information

Trende, Alexander and Unni, Anirudh and Jablonski, Mischa and Biebl, Bianca and Lüdtke, Andreas and Fränzle, Martin and Rieger, Jochem W. (2022) Driver's turning intent recognition model based on brain activation and contextual information. Frontiers in Neuroergonomics, 3. Frontiers Media S.A.. doi: 10.3389/fnrgo.2022.956863. ISSN 2673-6195.

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Official URL: https://dx.doi.org/10.3389/fnrgo.2022.956863


Item URL in elib:https://elib.dlr.de/189020/
Document Type:Article
Title:Driver's turning intent recognition model based on brain activation and contextual information
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Trende, AlexanderUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Unni, AnirudhUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Jablonski, MischaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Biebl, BiancaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lüdtke, AndreasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fränzle, MartinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rieger, Jochem W.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2022
Journal or Publication Title:Frontiers in Neuroergonomics
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:No
In ISI Web of Science:Yes
Volume:3
DOI:10.3389/fnrgo.2022.956863
Publisher:Frontiers Media S.A.
ISSN:2673-6195
Status:Published
Keywords:human-machine interaction, deep learning
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - KoKoVI - Koordinierter kooperativer Verkehr mit verteilter, lernender Intelligenz
Location: Oldenburg
Institutes and Institutions:Institute of Systems Engineering for Future Mobility > Systems Theory and Design
Deposited By: Trende, Alexander
Deposited On:25 Oct 2022 11:48
Last Modified:19 Dec 2023 04:13

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