<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/3C0BD185-B764-4B3E-B80E-B7A2E39A26AF"><efrbr-work:titleOfTheWork>Real-time, robot-based, 3D localization of RFID tags, by transforming phase measurements to a linear optimization problem</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/3C0BD185-B764-4B3E-B80E-B7A2E39A26AF"><efrbr-expression:titleOfTheExpression>Real-time, robot-based, 3D localization of RFID tags, by transforming phase measurements to a linear optimization problem</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Peer-Reviewed Journal Publication
            Δημοσίευση σε Περιοδικό με Κριτές
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2023-11-14</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2022</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:otherDistinguishingCharacteristic>This work was supported by the European Union and Greek National Funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH—CREATE—INNOVATE under Project T2EDK-02000.</efrbr-expression:otherDistinguishingCharacteristic><efrbr-expression:summarizationOfContent>In this paper, we propose a prototype method for fast and accurate 3D localization of RFID-tagged items by a mobile robot. The robot performs Simultaneous Localization of its own pose and Mapping of the surrounding environment (SLAM). It is equipped with RFID readers and antennas placed at different heights, collecting phase-measurements by all tags. Thanks to the self-localization property of the robot, a synthetic aperture is created for each tag. In this paper, we have manipulated the set of phase-measurements, combined with the known poses of the robot to craft an overdetermined system of linear equations which pinpoints the location of the tag. The linearity of the system preserves that localization is achieved rapidly. The problem is solved for any arbitrary movement of the robot and extended in three dimensions. The proposed method is experimentally compared against the state-of-the-art in SAR-based RFID localization. It is the fastest and the most accurate, when the robot moves along straight-paths. Its accuracy slightly worsens, when the robot moves along non-straight paths, while preserving its exceptionally small running-time. It can be applied in real-time 3D localization problems, demonstrating mean 3D accuracy below 20 cm.</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="journal name">IEEE Journal of Radio Frequency Identification</efrbr-expression:note><efrbr-expression:note type="journal volume">6</efrbr-expression:note><efrbr-expression:note type="page range">439-455</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="48E412E3-7250-41A9-8645-5DD9E0757094"><efrbr-person:nameOfPerson vocabulary="">
            Tzitzis Anastasios
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="137C4BF5-AF03-4E93-B551-BA93AD017034"><efrbr-person:nameOfPerson vocabulary="">
            Malama Andreana
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="AF817285-DD5E-45DE-8699-613F3426AC84"><efrbr-person:nameOfPerson vocabulary="">
            Drakaki Vasiliki
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://users.isc.tuc.gr/~abletsas"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Bletsas Aggelos
            Μπλετσας Αγγελος
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="75D7CD22-8F96-4990-B55D-AF1F6EC56738"><efrbr-person:nameOfPerson vocabulary="">
            Yioultsis Traianos
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="655F529D-7CA8-47FF-BFF4-D1AE3AFD0457"><efrbr-person:nameOfPerson vocabulary="">
            Dimitriou Antonis G.
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-corporateBody:corporateBody identifier="https://v2.sherpa.ac.uk/id/publisher/38"><efrbr-corporateBody:nameOfTheCorporateBody vocabulary="S/R:PUBLISHERS">
            Institute of Electrical and Electronics Engineers
         </efrbr-corporateBody:nameOfTheCorporateBody></efrbr-corporateBody:corporateBody><efrbr-concept:concept identifier="D905F517-B90E-42DE-A0AD-5C216201C012"><efrbr-concept:termForTheConcept>
            RFID
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="E0834DCC-1D41-41BE-8521-EE1EC879F759"><efrbr-concept:termForTheConcept>
            Localization
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="5BF8105F-C029-44C8-BC1D-F740E2744BCD"><efrbr-concept:termForTheConcept>
            Linear optimization
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="3F6F1744-95C4-46BA-A12E-205E82F23ECA"><efrbr-concept:termForTheConcept>
            SAR
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="AC03B89C-6952-46A1-833C-EBC59FD4E251"><efrbr-concept:termForTheConcept>
            Phase unwrapping
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="0B9E1DAD-1475-4994-B186-8BDB257FAD2B"><efrbr-concept:termForTheConcept>
            Confidence evaluation
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="0FA4FD38-337B-42B6-8153-AB292E4EBC65"><efrbr-concept:termForTheConcept>
            Robotics
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="42CD8090-D576-449A-A32A-C1EB76DD15F2"><efrbr-concept:termForTheConcept>
            SLAM
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