LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping

dc.contributor.author	Catal, Ozan
dc.contributor.author	Jansen, Wouter
dc.contributor.author	Verbelen, Tim
dc.contributor.author	Dhoedt, Bart
dc.contributor.author	Steckel, Jan
dc.contributor.imecauthor	Catal, Ozan
dc.contributor.imecauthor	Verbelen, Tim
dc.contributor.imecauthor	Dhoedt, Bart
dc.contributor.orcidimec	Verbelen, Tim::0000-0003-2731-7262
dc.contributor.orcidimec	Dhoedt, Bart::0000-0002-7271-7479
dc.date.accessioned	2022-05-03T11:30:34Z
dc.date.available	2022-04-25T02:09:47Z
dc.date.available	2022-05-03T11:30:34Z
dc.date.embargo	9999-12-31
dc.date.issued	2021
dc.identifier.doi	10.1109/ICRA48506.2021.9560768
dc.identifier.eisbn	978-1-7281-9077-8
dc.identifier.issn	1050-4729
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/39672
dc.publisher	IEEE
dc.source.beginpage	6739
dc.source.conference	IEEE International Conference on Robotics and Automation (ICRA)
dc.source.conferencedate	MAY 30-JUN 05, 2021
dc.source.conferencelocation	Xian
dc.source.endpage	6745
dc.source.journal	na
dc.source.numberofpages	7
dc.subject.keywords	SLAM
dc.subject.keywords	PERCEPTION
dc.subject.keywords	RATSLAM
dc.subject.keywords	MODEL
dc.title	LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping
dc.type	Proceedings paper
dspace.entity.type	Publication
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