Low-cost mapping of RFID tags using reader-equipped smartphones

Yuki Sato, Marius Noreikis, Yu Xiao

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

This paper proposes a low-cost solution for mapping and locating UHF-band RFID tags in a 3D space using reader-equipped smartphones. Our solution includes a mobile augmented reality application for data collection and information visualization, and a cloud-based application server for calculating
locations of the reader-equipped smartphones and the read RFID tags. Our solution applies computer vision and motion sensing techniques to track 3D locations of the RFID reader based on the visual and inertial sensor data collected from the companion smartphones. Meanwhile, it obtains the exact locations of RFID tags by calculating their relative positions from the readers based on the Angle of Arrival (AoA) concept. Our solution can be implemented with any low-cost fixed transmit power RFID readers, since it only requires the readers to report identifiers of read RFID tags. Furthermore, our solution does not require
machine-controlled uniform movement of RFID readers, as it can handle the bias in the readings collected from randomly scattered positions. We have evaluated our solution with experiments in real environments using a commercially-off-the-shelf RFID reader and an Android phone. Results show that the average error in the positions of RFID tags is around 25cm for each of orthogonal axes on the floor plane, with the orders of RFID tags correctly detected in most cases.
Original languageEnglish
Title of host publicationProceedings of the 15th IEEE International Conference on Mobile Ad-hoc and Sensor Systems
Place of PublicationUnited States
PublisherIEEE
Pages299-307
Number of pages9
ISBN (Electronic)978-1-5386-5580-1
ISBN (Print)978-1-5386-5581-8
DOIs
Publication statusPublished - 2018
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Mobile Ad-hoc and Sensor Systems - Chengdu, China
Duration: 9 Oct 201812 Oct 2018
Conference number: 15

Publication series

NameIEEE International Conference on Mobile Ad-hoc and Sensor Systems
ISSN (Print)2155-6806
ISSN (Electronic)2155-6814

Conference

ConferenceIEEE International Conference on Mobile Ad-hoc and Sensor Systems
Abbreviated titleMASS
CountryChina
CityChengdu
Period09/10/201812/10/2018

Keywords

  • RFID
  • localization
  • augmented reality

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