Selecting Non-Line of Sight Critical Scenarios for Connected Autonomous Vehicle Testing

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datacite.relatedItem.firstPage244
datacite.relatedItem.issue3
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2674-113X
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleSoftware
datacite.relatedItem.volume1
dc.contributor.authorTanvir Allidina
dc.contributor.authorLipika Deka
dc.contributor.authorDaniel Paluszczyszyn
dc.contributor.authorDavid Elizondo
dc.date.accessioned2024-08-14T11:15:41Z
dc.date.available2024-08-14T11:15:41Z
dc.date.issued2022
dc.identifier.doihttps://doi.org/10.3390/software1030011
dc.identifier.otherjz000089-0003
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/3758
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc004
dc.titleSelecting Non-Line of Sight Critical Scenarios for Connected Autonomous Vehicle Testing
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/3759
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