Performance Evaluation of the UWB-based CDS Indoor Positioning Solution

Puşchiţă, Emanuel; Simedroni, Raluca; Palade, Tudor; Codau, Cristian; Vos, Stefan; Ratiu, Vlad; Ratiu, Ovidiu

doi:10.1109/iwat48004.2020.1570609927

Cited by 15 publications

(8 citation statements)

References 2 publications

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“…(1,2) t which accounts for the NLOS bias statistics of the considered scenario (according to (15)) and provides more accurate localization once all the likelihoods are multiplied together: i.e., the product is very close to the true position as the NLOS range offset is compensated.…”

Section: Illustrative Example Of the Proposed Methodsmentioning

confidence: 99%

“…Specifically, we have that the separate cases of LOS/LOS and LOS/NLOS are modeled as discussed in Sec. II-B, leading to the Gaussian and EMG pdfs in (10) and (15), respectively, with fitting parameters summarized in Table III. Without distinguishing between the two conditions, we also consider a state-of-the-art model of the aggregated TDoA that employs a Skew t distribution [36], [37], i.e., p(ρ…”

Section: A System Parameters and Configurationmentioning

confidence: 99%

“…Decawave suite is compared to Bespoon in [11] and to Ubisense in [12] for various propagation conditions, using a Particle Filter (PF) technique, fitted to the Time of Arrival (ToA) experimental data. Decawave DW1000 modules are analyzed also in [13], where the ranging accuracy is evaluated in an heavy machines laboratory, while the MDEK1000 is evaluated in [14], [15]. Several asynchronous UWB localization solutions are presented in [16]- [18], while [19] and [20] focus on anchor calibration and error correction in UWB networks, respectively.…”

Section: Introductionmentioning

confidence: 99%

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UWB Localization in a Smart Factory: Augmentation Methods and Experimental Assessment

Barbieri

Brambilla

Trabattoni

et al. 2021

IEEE Trans. Instrum. Meas.

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The advent of the fourth industrial revolution (Industry 4.0) aims at increasing automation and efficiency in manufacturing processes by the adoption of information and communication technologies. Several of the proposed solutions rely on precise localization of material, equipment or operators. This article investigates the employment of Ultra WideBand (UWB) real-time location systems (RTLS) in a factory environment and proposes an augmentation technique to mitigate the impairments that arise in such a complex scenario. A Bayesian filtering method is developed to jointly track the motion dynamics and the time-varying visibility conditions of the UWB antennas, with particle-based implementation to deal with the non-linearity of the UWB measurements. Laboratory tests and industrial experiments are carried out to evaluate the performance of three commercial off-the-shelf UWB technologies, namely Decawave, Sewio and Ubisense. The experimental data are then used to calibrate and test the developed filtering technique, showing that it is possible to significantly reduce the positioning error originating from dense multipath and NLOS effects by jointly tracking the target dynamics and visibility conditions.

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Section: Illustrative Example Of the Proposed Methodsmentioning

confidence: 99%

Section: A System Parameters and Configurationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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UWB Localization in a Smart Factory: Augmentation Methods and Experimental Assessment

Barbieri

Brambilla

Trabattoni

et al. 2021

IEEE Trans. Instrum. Meas.

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“…To further improve localization accuracy, many works use an extended Kalman filter to fuse UWB and internal measurement unit (IMU) data (Ercolani & Martinoli, 2020; Li et al, 2018; Nguyen et al, 2016). The positional error increases at greater distances from the anchors (Puschita et al, 2020), and so a sensor fusion approach can provide better overall performance and reduced error.…”

Section: Mobile Robot Platformsmentioning

confidence: 99%

Gas source localization and mapping with mobile robots: A review

Francis

Griffiths

et al. 2022

Journal of Field Robotics

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Within the last couple of decades, there has been increasing research into the use of mobile robots for gas sensing applications. This has led to many different branches of research, most notably on the topics of gas distribution mapping and source localization. This paper aims to provide an up to date and comprehensive overview of the research on these topics for both controlled and uncontrolled environments with ground‐based or aerial robots. To complement other review papers, a greater focus is placed on recent probabilistic algorithms developed for both single robot and multirobot applications.

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“…The common approaches for distance measurement include TOA, RTT, and TDOA. A large variety of location methods have been suggested based on the Time of Flight (TOF), which is the measurement of the electromagnetic wave's propagation time from transmitter to receiver [44]. To determine the time difference between the transmitters placed in the localization environment, two standard measures, TOA and TDOA, are provided.…”

Section: Time-based Techniquementioning

confidence: 99%

A Comprehensive Review of Indoor/Outdoor Localization Solutions in IoT era: Research Challenges and Future Perspectives

Asaad¹,

Maghdid²

2021

Preprint

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<p>The number of connected mobile devices and Internet of Things (IoT) is growing around us, rapidly. Since, most of the people daily activities are relying on these connected things or devices. Specifically, this past year (with COVID-19) changed daily life in abroad and this is increased the use of IoT enabled technologies in health sector, work, and play. Further, the most common service via using these technologies is the localization/positioning service for different applications including: geo-tagging, billing, contact tracing, health-care system, point-of-interest recommendations, social networking, security, and more. Despite the availability of a large number of localization solutions in the literature, the precision of localization cannot meet the needs of consumers. For that reason, this paper provides an in-depth investigation of the existing technologies and techniques in the localization field, within the IoT era. Furthermore, the benefits and drawbacks of each technique with enabled technologies are illustrated and a comparison between the utilized technologies in the localization is made. The paper as a guideline is also going through all of the metrics that may be used to assess the localization solutions. Finally, the state-of-the-art solutions are examined, with challenges and perspectives regarding indoors/outdoors environments are demonstrated.</p>

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Performance Evaluation of the UWB-based CDS Indoor Positioning Solution

Cited by 15 publications

References 2 publications

UWB Localization in a Smart Factory: Augmentation Methods and Experimental Assessment

UWB Localization in a Smart Factory: Augmentation Methods and Experimental Assessment

Gas source localization and mapping with mobile robots: A review

A Comprehensive Review of Indoor/Outdoor Localization Solutions in IoT era: Research Challenges and Future Perspectives

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