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dc.contributor.authorReinke, Andrzej
dc.contributor.authorPalieri, Matteo
dc.contributor.authorMorrell, Benjamin
dc.contributor.authorChang, Yun
dc.contributor.authorEbadi, Kamak
dc.contributor.authorCarlone, Luca
dc.contributor.authorAgha-Mohammadi, Ali-Akbar
dc.date.accessioned2022-09-07T18:11:01Z
dc.date.available2022-09-07T18:11:01Z
dc.date.issued2022-10
dc.identifier.urihttps://hdl.handle.net/1721.1/145303
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/lra.2022.3181357en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleLOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time 3D Mappingen_US
dc.typeArticleen_US
dc.identifier.citationReinke, Andrzej, Palieri, Matteo, Morrell, Benjamin, Chang, Yun, Ebadi, Kamak et al. 2022. "LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time 3D Mapping." IEEE Robotics and Automation Letters, 7 (4).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronautics
dc.relation.journalIEEE Robotics and Automation Lettersen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-09-07T18:07:54Z
dspace.orderedauthorsReinke, A; Palieri, M; Morrell, B; Chang, Y; Ebadi, K; Carlone, L; Agha-Mohammadi, A-Aen_US
dspace.date.submission2022-09-07T18:07:57Z
mit.journal.volume7en_US
mit.journal.issue4en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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