2020
DOI: 10.1109/mits.2020.2994055
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Vision-Enhanced Low-Cost Localization in Crowdsourced Maps

Abstract: DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal re… Show more

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Cited by 3 publications
(1 citation statement)
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“…However, the reader can choose any earth model that fits the individual accuracy requirements, such as assuming an earth ellipsoid. For deeper insight into map-based lane-level localization, we refer to [19].…”
Section: Data Processingmentioning
confidence: 99%
“…However, the reader can choose any earth model that fits the individual accuracy requirements, such as assuming an earth ellipsoid. For deeper insight into map-based lane-level localization, we refer to [19].…”
Section: Data Processingmentioning
confidence: 99%