dc.contributor.author | Li, Chenglong | |
dc.contributor.author | Tanghe, Emmeric | |
dc.contributor.author | Suanet, Pieter | |
dc.contributor.author | Plets, David | |
dc.contributor.author | Hoebeke, Jeroen | |
dc.contributor.author | Martens, Luc | |
dc.contributor.author | De Poorter, Eli | |
dc.contributor.author | Joseph, Wout | |
dc.date.accessioned | 2023-01-26T14:40:09Z | |
dc.date.available | 2022-09-17T02:52:27Z | |
dc.date.available | 2023-01-26T14:40:09Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | na | |
dc.identifier.other | WOS:000848420400155 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/40452.2 | |
dc.source | WOS | |
dc.title | Deep Learning Enables Robust Drone-based UHF-RFID Localization in Warehouses | |
dc.type | Proceedings paper | |
dc.contributor.imecauthor | Li, Chenglong | |
dc.contributor.imecauthor | Tanghe, Emmeric | |
dc.contributor.imecauthor | Plets, David | |
dc.contributor.imecauthor | Hoebeke, Jeroen | |
dc.contributor.imecauthor | Martens, Luc | |
dc.contributor.imecauthor | De Poorter, Eli | |
dc.contributor.imecauthor | Joseph, Wout | |
dc.contributor.orcidimec | Tanghe, Emmeric::0000-0003-0020-6466 | |
dc.contributor.orcidimec | Plets, David::0000-0002-8879-5076 | |
dc.contributor.orcidimec | Hoebeke, Jeroen::0000-0003-2039-007X | |
dc.contributor.orcidimec | Martens, Luc::0000-0001-9948-9157 | |
dc.contributor.orcidimec | Joseph, Wout::0000-0002-8807-0673 | |
dc.contributor.orcidimec | De Poorter, Eli::0000-0002-0214-5751 | |
dc.contributor.orcidimec | Li, Chenglong::0000-0003-3261-5619 | |
dc.date.embargo | 2022-07-31 | |
dc.identifier.doi | 10.23919/AT-AP-RASC54737.2022.9814319 | |
dc.identifier.eisbn | 978-9-4639-6805-8 | |
dc.source.numberofpages | 4 | |
dc.source.peerreview | yes | |
dc.source.conference | 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC) | |
dc.source.conferencedate | MAY 29-JUN 03, 2022 | |
dc.source.conferencelocation | Gran Canaria | |
dc.source.journal | na | |
imec.availability | Published - open access | |
dc.description.wosFundingText | This work is supported in part by the Excellence of Science (EOS) project MUlti-SErvice WIreless NETworks (MUSE-WINET) and the imec ICON InWareDrones Project. | |