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dc.contributor.authorLi, Jingyue
dc.contributor.authorZhang, Jin
dc.contributor.authorKaloudi, Nektaria
dc.date.accessioned2019-02-14T12:01:06Z
dc.date.available2019-02-14T12:01:06Z
dc.date.created2018-09-12T18:00:56Z
dc.date.issued2018
dc.identifier.citationLecture Notes in Computer Science. 2018, 11094 LNCS 473-480.nb_NO
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11250/2585444
dc.description.abstractMany companies are studying autonomous vehicles. One trend in the development of control algorithms for autonomous vehicles is the use of deep-learning approaches. The general idea is to simulate a human driver’s decision-making and behavior in various scenarios without necessarily knowing why the decision is made. In this position paper, we first argue that traditional safety analysis methods need to be extended to verify deep-learning-based autonomous vehicles. Then, we propose borrowing ideas from the process of issuing driving licenses to human drivers to verify autonomous vehicles. Verification of autonomous vehicles could focus on sufficient training as well as mental and physical health checks. Based on this position, we list several challenges that need to be addressed.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Verlagnb_NO
dc.titleCould We Issue Driving Licenses to Autonomous Vehicles?nb_NO
dc.title.alternativeCould We Issue Driving Licenses to Autonomous Vehicles?nb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber473-480nb_NO
dc.source.volume11094 LNCSnb_NO
dc.source.journalLecture Notes in Computer Sciencenb_NO
dc.identifier.doi10.1007/978-3-319-99229-7_41
dc.identifier.cristin1608985
dc.relation.projectNorges forskningsråd: 267860nb_NO
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article published in [ Lecture Notes in Computer Science] Locked until 21.8.2019 due to copyright restrictions. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-99229-7_41nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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