A Standalone RFID Indoor Positioning System Using Passive Tags

Saad, S.S.; Nakad, Zahi

doi:10.1109/tie.2010.2055774

Cited by 358 publications

(144 citation statements)

References 13 publications

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“…Saad and Nakad, 2011 [14] Passive RFID This 2D solution also attaches the reader to the tracking object. The passive RFID tags are placed along the object path as reference tags.…”

Section: Tesoriero Et Al 2009 [1]mentioning

confidence: 99%

Novel RFID and ontology based home localization system for misplaced objects

Huynh

Parry

Fong

et al. 2014

IEEE Trans. Consumer Electron.

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“…Saad and Nakad, 2011 [14] Passive RFID This 2D solution also attaches the reader to the tracking object. The passive RFID tags are placed along the object path as reference tags.…”

Section: Tesoriero Et Al 2009 [1]mentioning

confidence: 99%

Novel RFID and ontology based home localization system for misplaced objects

Huynh

Parry

Fong

et al. 2014

IEEE Trans. Consumer Electron.

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“…There are a lot of technologies that allow knowing the position of a node in an indoor environment, as the systems based on radiofrequency [1] or the systems based on image processing [2,3] or the system based on searching references points [4]. Each of them has advantages and disadvantages, and the selection is done in function of the computational capacity, the accuracy and the cost demanded by the application.…”

Section: Introductionmentioning

confidence: 99%

HALO4: Horizontal Angle Localization and Orientation System with 4 Receivers and Based on Ultrasounds

Diaz

Martín

Salas

2015

J Intell Robot Syst

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Esta es la versión de autor del artículo publicado en: This is an author produced version of a paper published in: Abstract This paper presents a low cost ultrasonic localization and orientation system based on the DTOA (Differential Time Of Arrival) technique. The proposed system consists in deploying any number of autonomous nodes at the floor of a room and place some transmitters at the ceiling. Each node shall have four ultrasonic receivers to obtain the basic measures for the localization and orientation systems, and the coverage area of the system is defined by any region covered by at least three transmitters. The localization system is based on an estimation process of the horizontal angle of the node with respect to the transmitters. This implementation allows deploying the transmitters at different heights and ignores the error introduced by an incorrect estimation of the ultrasonic signal speed. The computational effort of the proposed system is greater than other ALO (Angle Localization and Orientation) systems, needing a minimization process to obtain the localization results, but it is smaller than in other typical techniques, like those based on the intersection of hyperboloids.

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“…RFID technology drew the attention of a large body of research on mobile robot localization owing to its wide availability, contactless recognition ability, and affordability [16,17,18,19,20,21]. Authors in [22,23] investigated the application of an RFID system in mobile robot localization by computing the flight time of active beacons' RF signals.…”

Section: Introductionmentioning

confidence: 99%

Mobile robot trajectory tracking using noisy RSS measurements: An RFID approach

Miah

Gueaieb

2014

ISA Transactions

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Most mobile robot navigation techniques that depend on reference RF beacons rely on approximating line-of-sight (LOS) distances between these beacons and the robot. The approximation of LOS is mostly performed using received signal strength (RSS) measurements of signals propagating between the robot and RF beacons. However, to date, relying on RSS measurements for approximating LOS distance remains a significant challenge. Accurate mapping between RSS measurements and LOS distance is almost impossible to achieve in an indoor reverberant environment. In this paper, we design a partially-observed feedback controller for a differential drive mobile robot (DDMR) where the feedback signal is in the form of noisy RSS measurements emitted from radio frequency identification (RFID) tags placed in the environment. The proposed controller does not require an accurate mapping between the LOS distance and the RSS measurements from RFID tags. In addition, it takes into account the robot's actuator (speed) constraints. Unlike many other previously devised solutions, the proposed control scheme does not require the linearization of the nonlinear DDMR model. The performance of this method is demonstrated through both numerical simulations and real-time experiments.

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A Standalone RFID Indoor Positioning System Using Passive Tags

Cited by 358 publications

References 13 publications

Novel RFID and ontology based home localization system for misplaced objects

Novel RFID and ontology based home localization system for misplaced objects

HALO4: Horizontal Angle Localization and Orientation System with 4 Receivers and Based on Ultrasounds

Mobile robot trajectory tracking using noisy RSS measurements: An RFID approach

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