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SAR-Based Indoor Localization of UHF-RFID Tags via Mobile Robot

Andrea Motroni, Paolo Nepa, Valerio Magnago, Alice Buffi, Bernardo Tellini, Daniele Fontanelli, David Macii

Year
2018
Citations
60

Abstract

This paper presents a localization method exploiting a mobile robot equipped with an Ultra High Frequency Radio Frequency IDentification (UHF-RFID) reader to locate stationary tags in warehouse scenarios. The measurement method is based on the Synthetic Aperture Radar (SAR) approach and the robot trajectory knowledge is achieved through a calibrated vision-based system suitable for indoor environments. The technique capability is demonstrated through an experimental analysis employing commercial UHF-RFID hardware and a wheeled robot. Localization accuracy is evaluated on the field by using a calibrated vision system, used to both locate the robotic vehicle and the tags when detected.

Keywords

Ultra high frequencyMobile robotComputer scienceRobotRadio-frequency identificationTrajectorySynthetic aperture radarComputer visionArtificial intelligenceIdentification (biology)

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