Towards conformant models of automated electric vehicles

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dc.contributor.authorLattarulo, Ray A.
dc.contributor.authorHeb, Daniel
dc.contributor.authorMatute, Jose A.
dc.contributor.authorPerez, Joshue
dc.contributor.authorHes, Daniel
dc.contributor.institutionCCAM
dc.date.issued2018-10-31
dc.descriptionPublisher Copyright: © 2018 IEEE.
dc.description.abstractAutomated driving is one of the major tendencies in last decades, and it is presented as a reliable option to improve comfort during driving, including disable and elder in society and increasing persons safety in roads. This last topic produces the question how is it possible to verify planning and control algorithms for a reliable commercial use of this technology. The question can be answered from two perspective: experimental or formal methods, where the formal one is selected as the most robust between both. Hence, the current work presents a case study verification in automated driving for lane change and double lane change maneuvers, using as basis a trace conformance method presented in [1]. The verification method is performed in Dynacar as a precise multibody simulator tuned for a commercial Renault Twizy vehicle.en
dc.description.statusPeer reviewed
dc.format.extent6
dc.format.extent1836157
dc.identifier.citationLattarulo , R A , Heb , D , Matute , J A , Perez , J & Hes , D 2018 , Towards conformant models of automated electric vehicles . in unknown . 2018 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2018 , IEEE , pp. 1-6 , 2018 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2018 , Madrid , Spain , 12/09/18 . https://doi.org/10.1109/ICVES.2018.8519484
dc.identifier.citationconference
dc.identifier.doi10.1109/ICVES.2018.8519484
dc.identifier.isbn978-1-5386-3544-5
dc.identifier.isbn978-1-5386-3543-8
dc.identifier.isbn9781538635438
dc.identifier.otherresearchoutputwizard: 11556/638
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85057583112&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofunknown
dc.relation.ispartofseries2018 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2018
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsTrajectory
dc.subject.keywordsWheels
dc.subject.keywordsMathematical model
dc.subject.keywordsBicycles
dc.subject.keywordsAcceleration
dc.subject.keywordsComputer architecture
dc.subject.keywordsTires
dc.subject.keywordsTrajectory
dc.subject.keywordsWheels
dc.subject.keywordsMathematical model
dc.subject.keywordsBicycles
dc.subject.keywordsAcceleration
dc.subject.keywordsComputer architecture
dc.subject.keywordsTires
dc.subject.keywordsAutomated vehicles
dc.subject.keywordsconformance testing
dc.subject.keywordstracking controllers
dc.subject.keywordsverification
dc.subject.keywordsComputer Networks and Communications
dc.subject.keywordsAutomotive Engineering
dc.subject.keywordsElectrical and Electronic Engineering
dc.subject.keywordsSafety, Risk, Reliability and Quality
dc.subject.keywordsControl and Optimization
dc.subject.keywordsProject ID
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/643921/EU/Unifying Control and Verification of Cyber-Physical Systems/UnCoVerCPS
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/643921/EU/Unifying Control and Verification of Cyber-Physical Systems/UnCoVerCPS
dc.subject.keywordsFunding Info
dc.subject.keywordsH2020 UnCoVerCPS_x000D_ Project with grant number 643921.
dc.subject.keywordsH2020 UnCoVerCPS_x000D_ Project with grant number 643921.
dc.titleTowards conformant models of automated electric vehiclesen
dc.typeconference output
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