Fault injection method for safety and controllability evaluation of automated driving

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dc.contributor.authorUriagereka, Garazi Juez
dc.contributor.authorLattarulo, Ray
dc.contributor.authorRastelli, Joshue Perez
dc.contributor.authorCalonge, Estibaliz Amparan
dc.contributor.authorRuiz Lopez, Alejandra
dc.contributor.authorEspinoza Ortiz, Huascar
dc.contributor.institutionTecnalia Research & Innovation
dc.contributor.institutionCCAM
dc.contributor.institutionCIBERSEC&DLT
dc.contributor.institutionQuantum
dc.date.issued2017-07-31
dc.descriptionPublisher Copyright: © 2017 IEEE.
dc.description.abstractAdvanced Driver Assistance Systems (ADAS) and automated vehicle applications based on embedded sensors have become a reality today. As road vehicles increase its autonomy and the driver shares his role in the control loop, novel challenges on their dependability assessment arise. One key issue is that the notion of controllability becomes more complex when validating the robustness of the automated vehicle in the presence of faults. This paper presents a simulation-based fault injection approach aimed at finding acceptable controllability properties for the model-based design of control systems. We focus on determining the best fault models inserting exceptional conditions to accelerate the identification of specific areas for testing. In our work we performed fault injection method to find the most appropriate safety concepts, controllability properties and fault handling strategies at early design phases of lateral control functions based on the error in the Differential GPS signal.en
dc.description.statusPeer reviewed
dc.format.extent6
dc.format.extent3941317
dc.identifier.citationUriagereka , G J , Lattarulo , R , Rastelli , J P , Calonge , E A , Ruiz Lopez , A & Espinoza Ortiz , H 2017 , Fault injection method for safety and controllability evaluation of automated driving . in unknown . IEEE Intelligent Vehicles Symposium, Proceedings , IEEE , pp. 1867-1872 , 28th IEEE Intelligent Vehicles Symposium, IV 2017 , Redondo Beach , United States , 11/06/17 . https://doi.org/10.1109/ivs.2017.7995977
dc.identifier.citationconference
dc.identifier.doi10.1109/ivs.2017.7995977
dc.identifier.isbn978-1-5090-4805-2
dc.identifier.isbn978-1-5090-4804-5
dc.identifier.isbn9781509048045
dc.identifier.otherresearchoutputwizard: 11556/479
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85028050643&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofunknown
dc.relation.ispartofseriesIEEE Intelligent Vehicles Symposium, Proceedings
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsAutomated driving
dc.subject.keywordsAdvanced Driver Assistance Systems
dc.subject.keywordsADAS
dc.subject.keywordsAutomated vehicle applications
dc.subject.keywordsEmbedded sensors
dc.subject.keywordsSimulation-based fault
dc.subject.keywordsFault injection method
dc.subject.keywordsDifferential GPS signal
dc.subject.keywordsSafety concepts
dc.subject.keywordsAutomated driving
dc.subject.keywordsAdvanced Driver Assistance Systems
dc.subject.keywordsADAS
dc.subject.keywordsAutomated vehicle applications
dc.subject.keywordsEmbedded sensors
dc.subject.keywordsSimulation-based fault
dc.subject.keywordsFault injection method
dc.subject.keywordsDifferential GPS signal
dc.subject.keywordsSafety concepts
dc.subject.keywordsComputer Science Applications
dc.subject.keywordsAutomotive Engineering
dc.subject.keywordsModeling and Simulation
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/H2020/692474/EU/Architecture-driven, Multi-concern and Seamless Assurance and Certification of Cyber-Physical Systems/AMASS
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/H2020/692474/EU/Architecture-driven, Multi-concern and Seamless Assurance and Certification of Cyber-Physical Systems/AMASS
dc.subject.keywordsFunding Info
dc.subject.keywordsAuthors wants to thank to the H2020 UnCoVerCPS Project_x000D_ (with grant number 643921) and the ECSEL JU AMASS_x000D_ project under H2020 grant agreement No 692474 and from_x000D_ MINETUR (Spain).
dc.subject.keywordsAuthors wants to thank to the H2020 UnCoVerCPS Project_x000D_ (with grant number 643921) and the ECSEL JU AMASS_x000D_ project under H2020 grant agreement No 692474 and from_x000D_ MINETUR (Spain).
dc.titleFault injection method for safety and controllability evaluation of automated drivingen
dc.typeconference output
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