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dc.contributor.author
Dymczyk, Marcin
dc.contributor.author
Stumm, Elena
dc.contributor.author
Nieto, Juan
dc.contributor.author
Siegwart, Roland
dc.contributor.author
Gilitschenski, Igor
dc.date.accessioned
2017-10-24T14:54:56Z
dc.date.available
2017-06-12T19:27:08Z
dc.date.available
2017-10-24T14:54:56Z
dc.date.issued
2016
dc.identifier.isbn
978-1-5090-5407-7
en_US
dc.identifier.isbn
978-1-5090-5408-4
en_US
dc.identifier.other
10.1109/3DV.2016.66
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/127832
dc.identifier.doi
10.3929/ethz-a-010819535
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
COMPUTER VISION + SCENE UNDERSTANDING (ARTIFICIAL INTELLIGENCE)
en_US
dc.subject
ROBOTERSEHEN
en_US
dc.subject
ROBOT VISION
en_US
dc.subject
COMPUTERVISION (KÜNSTLICHE INTELLIGENZ)
en_US
dc.title
Will it last? Learning Stable Features for Long-Term Visual Localization
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2017
ethz.book.title
2016 Fourth International Conference on 3D Vision (3DV)
en_US
ethz.pages.start
572
en_US
ethz.pages.end
581
en_US
ethz.size
1 Online-Ressource
en_US
ethz.code.ddc
DDC - DDC::6 - Technology, medicine and applied sciences::621.3 - Electric engineering
en_US
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
en_US
ethz.event
4th International Conference on 3D Vision (3DV)
en_US
ethz.event.location
Stanford, CA, USA
en_US
ethz.event.date
October 25-28, 2016
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.identifier.nebis
010819535
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02620 - Inst. f. Robotik u. Intelligente Systeme / Inst. Robotics and Intelligent Systems::03737 - Siegwart, Roland Y. / Siegwart, Roland Y.
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02620 - Inst. f. Robotik u. Intelligente Systeme / Inst. Robotics and Intelligent Systems::03737 - Siegwart, Roland Y. / Siegwart, Roland Y.
ethz.date.deposited
2017-06-12T19:27:26Z
ethz.source
ECOL
ethz.source
ECIT
ethz.identifier.importid
imp59366baa9f9ae47552
ethz.identifier.importid
imp59365536019b639924
ethz.ecolpid
eth:50463
ethz.ecitpid
pub:190712
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-18T21:36:42Z
ethz.rosetta.lastUpdated
2021-02-14T19:40:22Z
ethz.rosetta.versionExported
true
ethz.COinS
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