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Contributions of the EU Projects UnCoVerCPS and Enable-S3 to Highly Automated Driving in Conflict Situations

Heß, Daniel and Lapoehn, Stephan and Utesch, Fabian and Fischer, Martin and Schindler, Julian and Hesse, Tobias and Köster, Frank (2019) Contributions of the EU Projects UnCoVerCPS and Enable-S3 to Highly Automated Driving in Conflict Situations. AAET 2019, 05.-07. Feb. 2019, Braunschweig.

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Abstract

Almost 50% of all urban traffic accidents involving personal injury occur in intersection and turnaround area. Left turn through oncoming traffic is challenging for both human and automated vehicles because of a variety of time critical factors to consider. In particular, the position and speed of oncoming and crossing road users and the consideration of their existential, measurement and behavioral uncertainties influence the collision-free outcome of such a risky scenario. Highly automated, connected vehicles can help to reduce the number of accidents in inner-city intersection situations if these uncertainties are taken into account. We describe the integration of a model-predictive planning method, possibilities for modeling and calculating conflict areas based on geometric lane information, the calculation of conflict times based on behavioral predictions of observed road users and the interaction with the driver of the highly automated vehicle. The function is evaluated in field tests for the two EU funded projects Enable-S3 and UnCoVerCPS.

Item URL in elib:https://elib.dlr.de/125883/
Document Type:Conference or Workshop Item (Speech)
Title:Contributions of the EU Projects UnCoVerCPS and Enable-S3 to Highly Automated Driving in Conflict Situations
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Heß, DanielDaniel.Hess (at) dlr.dehttps://orcid.org/0000-0001-6976-4189
Lapoehn, StephanStephan.Lapoehn (at) dlr.deUNSPECIFIED
Utesch, FabianFabian.Utesch (at) dlr.dehttps://orcid.org/0000-0003-3830-5777
Fischer, MartinMa.Fischer (at) dlr.dehttps://orcid.org/0000-0001-8435-4321
Schindler, Julianjulian.schindler (at) dlr.dehttps://orcid.org/0000-0001-5398-8217
Hesse, TobiasTobias.Hesse (at) dlr.dehttps://orcid.org/0000-0002-2346-2035
Köster, FrankFrank.Koester (at) dlr.deUNSPECIFIED
Date:5 February 2019
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Automated Driving
Event Title:AAET 2019
Event Location:Braunschweig
Event Type:national Conference
Event Dates:05.-07. Feb. 2019
Organizer:ITS mobility
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
Deposited By: Heß, Daniel
Deposited On:25 Jan 2019 13:53
Last Modified:27 Apr 2020 21:21

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