Experimental evaluation of machine learning methods for robust received signal strength-based visible light positioning

dc.contributor.author	Raes, W.
dc.contributor.author	Knudde, Nicolas
dc.contributor.author	De Bruycker, J.
dc.contributor.author	Dhaene, Tom
dc.contributor.author	Stevens, N.
dc.contributor.imecauthor	Knudde, Nicolas
dc.contributor.imecauthor	Dhaene, Tom
dc.contributor.orcidimec	Dhaene, Tom::0000-0003-2899-4636
dc.date.accessioned	2021-10-29T02:39:39Z
dc.date.available	2021-10-29T02:39:39Z
dc.date.embargo	9999-12-31
dc.date.issued	2020-11
dc.identifier.issn	1424-8220
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/35792
dc.identifier.url	https://doi.org/10.3390/s20216109
dc.source.beginpage	6109
dc.source.issue	21
dc.source.journal	Sensors
dc.source.volume	20
dc.title	Experimental evaluation of machine learning methods for robust received signal strength-based visible light positioning
dc.type	Journal article
dspace.entity.type	Publication
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