Assessing the Adherence of an Industrial Autonomous Driving Framework to ISO 26262 Software Guidelines

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dc.contributor.authorTabani, Hamid
dc.contributor.authorKosmidis, Leonidas
dc.contributor.authorAbella Ferrer, Jaume
dc.contributor.authorCazorla, Francisco J.
dc.contributor.authorBernat, Guillem
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2019-06-04T14:38:08Z
dc.date.available2019-06-04T14:38:08Z
dc.date.issued2019-06-06
dc.description.abstractThe complexity and size of Autonomous Driving (AD) software are comparably higher than that of software implementing other (standard) functionalities in the car. To make things worse, a big fraction of AD software is not specifically designed for the automotive (or any other critical) domain, but the mainstream market. This brings uncertainty on to which extent AD software adheres to guidelines in safety standards. In this paper, we present our experience in applying ISO 26262 -- the applicable functional safety standard for road vehicles -- software safety guidelines to industrial AD software, in particular, Apollo, a heterogeneous Autonomous Driving framework used extensively in industry. We provide quantitative and qualitative metrics of compliance for many ISO 26262 recommendations on software design, implementation, and testing.
dc.description.peerreviewedPeer Reviewed
dc.description.sponsorshipThis work has received funding from the European Research Coun-cil (ERC) under the European Union’s Horizon 2020 research andinnovation programme (grant agreement No. 772773). This workhas also been partially supported by the Spanish Ministry of Econ-omy and Competitiveness (MINECO) under grant TIN2015-65316-Pand the HiPEAC Network of Excellence. MINECO partially sup-ported Jaume Abella under Ramon y Cajal postdoctoral fellowship(RYC-2013-14717), and Leonidas Kosmidis under Juan de la Cierva-Formación postdoctoral fellowship (FJCI-2017-34095).
dc.description.versionPostprint (published version)
dc.format.extent6 p.
dc.identifier.citationTabani, H. [et al.]. Assessing the Adherence of an Industrial Autonomous Driving Framework to ISO 26262 Software Guidelines. A: "DAC '19 Proceedings of the 56th Annual Design Automation Conference 2019". Association for Computing Machinery (ACM), 2019.
dc.identifier.doi10.1145/3316781.3317779
dc.identifier.isbn978-1-4503-6725-7
dc.identifier.urihttps://hdl.handle.net/2117/133938
dc.language.isoeng
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/772773/EU/Sustainable Performance for High-Performance Embedded Computing Systems/SuPerCom
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//TIN2015-65316-P/ES/COMPUTACION DE ALTAS PRESTACIONES VII/
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/PE2013-2016/RYC-2013-1471
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/PE2013-2016/JCI-2017-34095
dc.relation.publisherversionhttps://dl.acm.org/citation.cfm?id=3317779
dc.rights.accessOpen Access
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshSupercomputers
dc.subject.lemacSupercomputadors
dc.subject.otherCritical systems
dc.subject.otherAutonomous Driving
dc.subject.otherISO 26262
dc.titleAssessing the Adherence of an Industrial Autonomous Driving Framework to ISO 26262 Software Guidelines
dc.typeConference lecture
dspace.entity.typePublication
local.citation.publicationNameDAC '19 Proceedings of the 56th Annual Design Automation Conference 2019

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