People counting by means of Wi-Fi

Kalikova, Jana; Krčál, Jan

doi:10.1109/scsp.2017.7973857

Cited by 11 publications

(3 citation statements)

References 3 publications

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“…In this regard, RS technologies have been successfully deployed in the acquisition of indoor localization information to enhance 3D modeling of objects (i.e., BIM), helping to improve construction progress reporting, maintenance, and building operation (Moselhi and Bardareh, 2020;Valero et al, 2016). The application of Wi-Fi, Bluetooth, and Bluetooth Low Energy (BLE) technologies for range measurement and localization of objects has also been investigated recently, although further investigation is needed to confirm the performance of these systems for accurate object localization and tracking (Moselhi and Bardareh, 2020;Yoo and Park, 2019;Kalikova and Krcal, 2017;Ta, 2017). Liang et al (2015), meanwhile, investigated the integrated use of smart phones and BLE technology as a way of localizing people in an indoor environment.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Many studies have investigated the use of remote sensing (RS) technologies to automate the localization and tracking of objects on site (Montaser and Moselhi, 2014;Moselhi and Bardareh, 2020;Li and Chan, 2013;Labant et al, 2017;Ibrahim and Moselhi, 2014;Seo et al, 2013;Jo et al, 2015;Akhavian and Behzadan, 2015;Andoh et al, 2012;Su et al, 2014;Yoo and Park, 2019;Kalikova and Krcal, 2017;Ta, 2017). This paper introduces a novel method in which ultra-wideband (UWB) and radio frequency identification (RFID) technologies are integrated to efficiently localize objects in an indoor environment, thereby mitigating the cost burden associated with UWB or GPS sensors for localization and tracking of a large number of objects on construction sites.…”

Section: Introductionmentioning

confidence: 99%

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An integrated RFID–UWB method for indoor localization of materials in construction

Bardareh¹,

Moselhi²

2022

ITcon

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A considerable body of literature exists on automated object localization and tracking of construction operations. While GPS-based solutions have been widely investigated in many studies for outdoor tracking of these operations, indoor tracking proved to be more challenging. This paper focuses on indoor material localization and investigates the use of two remote sensing technologies—ultra-wideband and radio frequency identification—and the integrated use of these technologies to leverage the benefits of each for a cost-effective and practical solution for location identification of materials on site. The developed method is based on an experimental study conducted in two phases. In the first phase, experiments are designed and performed to evaluate the accuracy of ultra-wideband for localization, as well as to determine the optimal output power for a hand-held radio frequency identification reader. The optimal power is identified by evaluating the range measurement accuracy and maximum reading range of the hand-held radio frequency identification reader. In the second phase, the integrated use of radio frequency identification device and ultra-wideband for object localization is studied, and an improved trilateration technique is developed. The results of the experiments show an absolute error of 0.52 m and 1.15 m for 2D and 3D localization, respectively. Accordingly, the integration of these two technologies eliminates the need for using a large number of radio frequency identification reference tags on site for indoor material localization. The method is expected to enhance automated material tracking on construction sites by improving the localization accuracy and providing a straightforward data acquisition protocol. The analysis of experimental data captured in a lab setting is also presented, demonstrating the advantages of the proposed method.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An integrated RFID–UWB method for indoor localization of materials in construction

Bardareh¹,

Moselhi²

2022

ITcon

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“…It is done by tracking the changes in the received electromagnetic wave patterns and compare them with calibrated models to count the number of workers or vehicles on site, and to provide rough information about their location and behavioral algorithms. However, due to some legal restrictions for using smart phones on site and not fully accurate results of this technology its use in construction industry is not common yet [17][18][19]. In a different context, barcode and radio frequency identification devices (RFID) proven to be useful technologies for material identification with applications in tracking resources for a supply chain management system [20,21].…”

Section: Standalone Remote Sensing (Rs) Technologiesmentioning

confidence: 99%

Automated Data Acquisition in Construction with Remote Sensing Technologies

2020

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Near real-time tracking of construction operations and timely progress reporting are essential for effective management of construction projects. This does not only mitigate potential negative impact of schedule delays and cost overruns but also helps to improve safety on site. Such timely tracking circumvents the drawbacks of conventional methods for data acquisition, which are manual, labor-intensive, and not reliable enough for various construction purposes. To address these issues, a wide range of automated site data acquisition, including remote sensing (RS) technologies, has been introduced. This review article describes the capabilities and limitations of various scenarios employing RS enabling technologies for localization, with a focus on multi-sensor data fusion models. In particular, we have considered integration of real-time location systems (RTLSs) including GPS and UWB with other sensing technologies such as RFID, WSN, and digital imaging for their use in construction. This integrated use of technologies, along with information models (e.g., BIM models) is expected to enhance the efficiency of automated site data acquisition. It is also hoped that this review will prompt researchers to investigate fusion-based data capturing and processing.

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Counting People Using Images from Two Low Cost Webcams

Hung

2019

Lecture Notes in Computer Science

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People counting by means of Wi-Fi

Cited by 11 publications

References 3 publications

An integrated RFID–UWB method for indoor localization of materials in construction

An integrated RFID–UWB method for indoor localization of materials in construction

Automated Data Acquisition in Construction with Remote Sensing Technologies

Counting People Using Images from Two Low Cost Webcams

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