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dc.contributor.author박성주-
dc.date.accessioned2023-08-22T01:35:08Z-
dc.date.available2023-08-22T01:35:08Z-
dc.date.issued2014-01-
dc.identifier.citationAlgorithm and Soc Design for Automotive Vision Systems: For Smart Safe Driving System, Page. 263-290-
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-94-017-9075-8_10en_US
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/185644-
dc.description.abstractCurrent vehicles are built with complex electronic systems embedded with more than a hundred microprocessors through complicated automotive networks. In the de facto ISO 26262 standard in the automotive industry, Automotive Safety Integrity Level (ASIL) is classified into four different levels. In this chapter, the ISO 26262 hardware ASIL is described in detail. Then, we introduce fault diagnosis architectures that use various design for testability techniques such as scan design, built-in self-test, IEEE boundary scan design, and error correcting codes for increasing hardware reliability. © Springer Science+Business Media Dordrecht 2014.-
dc.languageen-
dc.publisherSpringer Netherlands-
dc.titleReliability issues for automobile SoCs-
dc.typeArticle-
dc.identifier.doi10.1007/978-94-017-9075-8_10-
dc.relation.page263-290-
dc.relation.journalAlgorithm and Soc Design for Automotive Vision Systems: For Smart Safe Driving System-
dc.contributor.googleauthorPark, S.-
dc.sector.campusE-
dc.sector.daehak소프트웨어융합대학-
dc.sector.department소프트웨어학부-
dc.identifier.pidpaksj-
Appears in Collections:
COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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