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dc.contributor.authorDahl, Erlend
dc.contributor.authorKroksæter, Anders
dc.coverage.spatialNorwaynb_NO
dc.date.accessioned2020-01-29T10:21:52Z
dc.date.available2020-01-29T10:21:52Z
dc.date.issued2017-05
dc.identifier.issn978-82-14-06722-4
dc.identifier.urihttp://hdl.handle.net/11250/2638533
dc.description.abstractThe Finnish startup company Vionice has developed a system for automatically capturing data about road signs. The system uses mobile phones with camera and GPS placed in the windscreen of NPRA vehicles, and computer vision and machine learning algorithms to recognize and position signs. This system has been used to capture data about all speed limit and road works signs that the vehicles are passing, and the results have been analysed. The analysis shows that the system looks very promising, but since the actual sign locations from NVDB, which are used to validate the system, are shown to be inaccurate, the system still lacks a solid validation.nb_NO
dc.description.sponsorshipStatens vegvesennb_NO
dc.language.isoengnb_NO
dc.publisherSINTEF Teknologi og samfunnnb_NO
dc.relation.ispartofseriesSINTEF rapport;2017:00096
dc.rightsAttribution-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/deed.no*
dc.subjectAutomatic data capturenb_NO
dc.subjectVionicenb_NO
dc.subjectNVDBnb_NO
dc.titleAnalyzing automatically captured traffic sign data from the Vionice systemnb_NO
dc.typeReportnb_NO
dc.rights.holderSINTEFnb_NO
dc.source.pagenumber20nb_NO


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  • Smartere vegtrafikk med ITS - FoU program (2012-2017) [5]
    Målet med FoU- programmet var å finne teknologiske løsninger som kan bidra til en sikrere og mer miljøvennlig vegtrafikk med god fremkommelighet og tilgjengelighet. Både politisk og faglig er det en erkjennelse av at infrastrukturutbygging alene ikke løser utfordringene i transportsystemet. Økt bruk av smart teknologi eller intelligente transportsystemer og -tjenester (ITS) er blant de mest lovende tiltakene.

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Attribution-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NoDerivatives 4.0 Internasjonal