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The Long Tail of Automated Driving: Wie gehen wir mit individuell seltenen, kritischen Szenarien um?

Neurohr, Christian (2023) The Long Tail of Automated Driving: Wie gehen wir mit individuell seltenen, kritischen Szenarien um? [Other]

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Item URL in elib:https://elib.dlr.de/195855/
Document Type:Other
Title:The Long Tail of Automated Driving: Wie gehen wir mit individuell seltenen, kritischen Szenarien um?
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Neurohr, ChristianUNSPECIFIEDhttps://orcid.org/0000-0001-8847-5147UNSPECIFIED
Date:5 July 2023
Journal or Publication Title:TACHELES - Die andere Konferenz zum autonomen und vernetzten Fahren
Refereed publication:No
Open Access:No
Status:Published
Keywords:Automatisiertes Fahren, Kritikalität, Szenarien, Homologation, Validierung
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:other
DLR - Research area:Transport
DLR - Program:V - no assignment
DLR - Research theme (Project):V - no assignment
Location: Oldenburg
Institutes and Institutions:Institute of Systems Engineering for Future Mobility > Systems Theory and Design
Deposited By: Neurohr, Dr. Christian
Deposited On:24 Jul 2023 11:07
Last Modified:24 Jul 2023 11:07

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