Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Survey on Integrated Vehicular Platforms for Next Generation Mobility

Full metadata record
DC Field Value Language
dc.contributor.authorLee, C.-
dc.contributor.authorKim, M.-
dc.contributor.authorSeo, H.-
dc.contributor.authorPaek, Jeongyeup-
dc.date.accessioned2022-12-29T00:40:27Z-
dc.date.available2022-12-29T00:40:27Z-
dc.date.issued2022-10-
dc.identifier.issn2162-1233-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/59786-
dc.description.abstractThe vehicle is becoming a computing platform rather than mechanical machinery. Vehicles are now being equipped with advanced electronic functions such as autonomous driving, in-vehicle infortainment (IVI), and driver assistant systems together with communication capabilities. To this end, studies on open platforms for vehicles to resolve dependencies between vehicle software and hardware have been actively conducted. In this paper, we first investigate the research on representative vehicle operating systems and software platforms, Automotive Open System Architecture (AUTOSAR) and Connected Vehicle Systems Alliance (COVESA). We review academic research pa-pers published by major academic publishers and categorize them according to their purposes. We also investigate recent research trends on open vehicle platforms by major automobile companies and research institutes to provide insight into future directions for next-generation mobility. © 2022 IEEE.-
dc.format.extent5-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE Computer Society-
dc.titleSurvey on Integrated Vehicular Platforms for Next Generation Mobility-
dc.typeArticle-
dc.identifier.doi10.1109/ICTC55196.2022.9952950-
dc.identifier.bibliographicCitationInternational Conference on ICT Convergence, v.2022-October, pp 834 - 838-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-85143254835-
dc.citation.endPage838-
dc.citation.startPage834-
dc.citation.titleInternational Conference on ICT Convergence-
dc.citation.volume2022-October-
dc.type.docTypeConference Paper-
dc.publisher.location미국-
dc.subject.keywordAuthorAutonomous Vehicle Platform-
dc.subject.keywordAuthorAUTOSAR-
dc.subject.keywordAuthorCOVESA-
dc.subject.keywordAuthorOSEKNDX-
dc.subject.keywordAuthorSOME/IP-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Software > School of Computer Science and Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Paek, Jeong Yeup photo

Paek, Jeong Yeup
소프트웨어대학 (소프트웨어학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE