Experimental technique to enhance SLAM modelling of autonomous vehicle with Microsoft&copy Hololens

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dc.contributor.authorMoezzi Rezacs
dc.contributor.authorHlava Jaroslavcs
dc.contributor.authorKrčmařík Davidcs
dc.contributor.authorKočí Jancs
dc.date.accessioned2020-06-08T09:43:26Z
dc.date.available25-14-2019en
dc.date.available2020-06-08T09:43:26Z
dc.date.issued2019cs
dc.date.updated25-33-2019en
dc.format.extent8cs
dc.identifier.isbn978-802145766-9cs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/155989
dc.language.isoengcs
dc.publisherCzech Society for Mechanicscs
dc.relation.ispartofExperimental Stress Analysis - 57th International Scientific Conference, EAN 2019 - Conference Proceedingsen
dc.relation.ispartofseries1cs
dc.riv.kontrolni-cislo192185088cs
dc.riv.kontrolni-cislo192185498cs
dc.riv.specifikaceRIV/46747885:24220/19:00006629!RIV20-MSM-24220___cs
dc.riv.specifikaceRIV/46747885:24620/19:00006629!RIV20-MSM-24620___cs
dc.subjectLocalizationcs
dc.subjectMappingcs
dc.subjectAutonomous Vehiclecs
dc.subjectExtended Kalman Filtercs
dc.subjectHoloLenscs
dc.titleExperimental technique to enhance SLAM modelling of autonomous vehicle with Microsoft&copy Hololenscs
local.citation.epage314-321cs
local.citation.spage314-321cs
local.event.locationLuhačoviceen
local.identifier.publikace6629
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