Robot-Based Indoor Positioning of UHF-RFID Tags: The SAR Method With Multiple Trajectories

Bernardini, Fabio; Buffi, Alice; Fontanelli, Daniele; Macii, David; Magnago, Valerio; Marracci, Mirko; Motroni, Andrea; Nepa, Paolo; Tellini, Bernardo

doi:10.1109/tim.2020.3033728

Cited by 77 publications

(28 citation statements)

References 48 publications

(56 reference statements)

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“…On the other hand, phase-based RFID localization methods allow for a better localization accuracy, since they are more robust to multipath propagation than the RSSI-based approaches. As an example, phase-based techniques have been used to localize moving tagged items on conveyor belts [119], robots [120,121], and drones [122]. Examples of robots and drones equipped with RFID readers for localization purposes are reported in Figure 15.…”

Section: Localization and Activity Monitoringmentioning

confidence: 99%

A Review of RFID Sensors, the New Frontier of Internet of Things

Costa

Genovesi

Borgese³

et al. 2021

Sensors

157

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A review of technological solutions for RFID sensing and their current or envisioned applications is presented. The fundamentals of the wireless sensing technology are summarized in the first part of the work, and the benefits of adopting RFID sensors for replacing standard sensor-equipped Wi-Fi nodes are discussed. Emphasis is put on the absence of batteries and the lower cost of RFID sensors with respect to other sensor solutions available on the market. RFID sensors are critically compared by separating them into chipped and chipless configurations. Both categories are further analyzed with reference to their working mechanism (electronic, electromagnetic, and acoustic). RFID sensing through chip-equipped tags is now a mature technological solution, which is continuously increasing its presence on the market and in several applicative scenarios. On the other hand, chipless RFID sensing represents a relatively new concept, which could become a disruptive solution in the market, but further research in this field is necessary for customizing its employment in specific scenarios. The benefits and limitations of several tag configurations are shown and discussed. A summary of the most suitable applicative scenarios for RFID sensors are finally illustrated. Finally, a look at some sensing solutions available on the market are described and compared.

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Section: Localization and Activity Monitoringmentioning

confidence: 99%

A Review of RFID Sensors, the New Frontier of Internet of Things

Costa

Genovesi

Borgese³

et al. 2021

Sensors

157

View full text Add to dashboard Cite

show abstract

“…The RSSI-based indoor positioning system should contain transmitters and receivers, known as a beacon and scanner, respectively. There are two types of configurations for the deploy beacon and receiver: tag-based [20] and beacon-based [21]. This study used the beacon-based configuration, with the beacons placed in a fixed position, and the scanner acted as a moving element.…”

Section: Componentsmentioning

confidence: 99%

A Practice of BLE RSSI Measurement for Indoor Positioning

Ramirez

Huang

Liao

et al. 2021

Sensors

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Bluetooth Low Energy (BLE) is one of the RF-based technologies that has been utilizing Received Signal Strength Indicators (RSSI) in indoor position location systems (IPS) for decades. Its recent signal stability and propagation distance improvement inspired us to conduct this project. Beacons and scanners used two Bluetooth specifications, BLE 5.0 and 4.2, for experimentations. The measurement paradigm consisted of three segments, RSSI–distance conversion, multi-beacon in-plane, and diverse directional measurement. The analysis methods applied to process the data for precise positioning included the Signal propagation model, Trilateration, Modification coefficient, and Kalman filter. As the experiment results showed, the positioning accuracy could reach 10 cm when the beacons and scanners were at the same horizontal plane in a less-noisy environment. Nevertheless, the positioning accuracy dropped to a meter-scale accuracy when the measurements were executed in a three-dimensional configuration and complex environment. According to the analysis results, the BLE wireless signal strength is susceptible to interference in the manufacturing environment but still workable on certain occasions. In addition, the Bluetooth 5.0 specifications seem more promising in bringing brightness to RTLS applications in the future, due to its higher signal stability and better performance in lower interference environments.

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“…However, the presence of moving obstacles or people may degrade the localization performance of LRF-equipped vehicles, while privacy issues occur in camera-based systems, which also require for complex and time-consuming image processing. Besides, Wi-Fi, ZigBee, Bluetooth, Ultra-Wide-Band (UWB), and Radio Frequency Identification (RFID) technologies are largely employed for indoor localization purposes [12]- [17], thanks to the use of commercial-off-the-shelf (COTS) hardware. Wi-Fi, ZigBee and Bluetooth operate in the 2.4 GHz Industrial-Scientifical-Medical (ISM) band and typically guarantee a localization error of the metre order, which may not be satisfactory for vehicle localization.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Indoor Vehicle Localization Through RFID Technology

2021

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This paper presents a state-of-the-art analysis on the methods suitable for vehicle indoor localization and exploiting the RFID (Radio Frequency IDentification) technology. The survey describes three main categories of vehicle localization systems: (i) solutions exploiting only the RFID technology, (ii) sensor-fusion techniques combining data from RFID systems and proprioceptive sensors, and (iii) sensorfusion techniques combing RFID data with those of other exteroceptive sensors in addition to the RFID system itself. For each method, implementation and methodological details are discussed, by highlighting the applied RFID technology, namely passive HF-RFID, passive UHF-RFID, or any other RFID system. Also, the employed RFID parameters, i.e., tag EPC, RSSI or backscattered phase, are discussed. The survey focuses on the achievable localization performance, also accounting for infrastructure-deployment costs together with complexity and maintenance overhead. Positioning, tracking, navigation and simultaneous localization and mapping (SLAM) issues are here considered. The analysis highlights pros and cons of each method, together with the main challenges and perspectives of RFID-based solutions for vehicle localization.

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Robot-Based Indoor Positioning of UHF-RFID Tags: The SAR Method With Multiple Trajectories

Cited by 77 publications

References 48 publications

A Review of RFID Sensors, the New Frontier of Internet of Things

A Review of RFID Sensors, the New Frontier of Internet of Things

A Practice of BLE RSSI Measurement for Indoor Positioning

A Survey on Indoor Vehicle Localization Through RFID Technology

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