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1دورية أكاديمية
المؤلفون: Agarwal, Naman, O'Keefe, Kyle
الوصف: This article demonstrates an alternative approach that uses global navigation satellite system (GNSS) Doppler measurements in a Kalman filter (KF) to improve the accuracy of GNSS smartphone positioning. The proposed method automates the process of estimating the uncertainty of the dynamics model of the system, which is still a challenge for the conventional KF-based GNSS positioning methods that require heuristic tuning. Automation of dynamics model uncertainty estimation also demonstrates notable improvement in GNSS outlier detection or fault detection and exclusion. In addition, this article will perform a quality assessment of the GNSS observations obtained from two Android smartphones and investigate the performance of the proposed method when using GPS L1 + Galileo E1 signals compared to GPS L5 + Galileo E5a signals. ...
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2دورية أكاديمية
المؤلفون: Shu, Yiheng, Booker, Andrew, Karetny, Jane, O'Keefe, Kyle, Rees, Katy, Schroder, Lucy, Roe, Brian E.
المساهمون: US Environmental Protection Agency, USDA NIFA
المصدر: Waste Management ; volume 160, page 101-111 ; ISSN 0956-053X
مصطلحات موضوعية: Waste Management and Disposal
الإتاحة: https://doi.org/10.1016/j.wasman.2023.02.011Test
https://api.elsevier.com/content/article/PII:S0956053X23001824?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0956053X23001824?httpAccept=text/plainTest -
3دورية أكاديمية
المؤلفون: Renaudin, Valerie, Potortì, Francesco, Torres-Sospedra, Joaquín, Knauth, Stefan, O’keefe, Kyle, Park, Chan Gook, Sugimoto, Masanori, Wei, Dongyan, Nurmi, Jari
المساهمون: Tampere University, Electrical Engineering
مصطلحات موضوعية: 213 Electronic, automation and communications engineering, electronics
الوصف: Indoor localization is a growing research field and interest is expanding in many application fields, including services, measurement, mapping, security, and standardization. The quest for appropriate tracking technologies for COVID-19 pandemic control has shown us the importance of identifying the sensors data and processing that are suitable, accurate, reliable, and respectful of privacy. A prominent area is, therefore, that of sensors, where both improved hardware solutions and more powerful data analysis are required. ; Non peer reviewed
وصف الملف: fulltext
العلاقة: 22; Bibtex: 9733819; ORCID: /0000-0003-2169-4606/work/111129623; https://trepo.tuni.fi/handle/10024/138564Test; URN:NBN:fi:tuni-202204073102
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4دورية أكاديمية
المؤلفون: Naghdi, Sharareh, O'Keefe, Kyle
مصطلحات موضوعية: advertising channels, trilateration, BLE, artificial intelligence, localization, human body shadowing
الوصف: The demands for accurate positioning and navigation applications in complex indoor environments such as emergency call positioning, fire-fighting services, and rescue operations are increasing continuously. Indoor positioning approaches apply different types of sensors to increase the accuracy of the user’s position. Among these technologies, Bluetooth Low Energy (BLE) appeared as a popular alternative due to its low cost and energy efficiency. However, BLE faces challenges related to Received Signal Strength Indicator (RSSI) fluctuations caused by human body shadowing. This work presents a method to compensate RSSI values by applying Artificial Neural Network (ANN) algorithms to RSSI measurements from three BLE advertising channels and a wearable camera as an additional source of information for the presence or absence of human obstacles. The resulting improved RSSI values are then converted into ranges using path loss models, and trilateration is applied to obtain indoor localization. The proposed artificial system provides significantly better localization solutions than fingerprinting or trilateration using uncorrected RSSI values. ; Natural Sciences and Engineering Research Council (NSERC)
وصف الملف: application/pdf
العلاقة: Naghdi, S., & O’Keefe, K. (2022). Combining multichannel RSSI and vision with artificial neural networks to improve BLE trilateration. Sensors, 22(4320). https://doi.org/10.3390/s22124320Test; CRDPJ 514520–17; http://hdl.handle.net/1880/114715Test; https://dx.doi.org/10.11575/PRISM/39813Test
الإتاحة: https://doi.org/10.3390/s22124320Test
https://doi.org/10.11575/PRISM/39813Test
http://hdl.handle.net/1880/114715Test -
5دورية أكاديمية
المؤلفون: Gratton, Paul, Banville, Simon, Lachapelle, Gérard, O’Keefe, Kyle
مصطلحات موضوعية: GNSS, PPP, ZTD, zenith tropospheric delay, VMF1, Geomatics Engineering
الوصف: The use of global navigation satellite systems (GNSS) precise point positioning (PPP) to estimate zenith tropospheric delay (ZTD) profiles in kinematic vehicular mode in mountainous areas is investigated. Car-mounted multi-constellation GNSS receivers are employed. The Natural Resources Canada Canadian Spatial Reference System PPP (CSRS-PPP) online service that currently processes dual-frequency global positioning system (GPS) and Global’naya Navigatsionnaya Sputnikovaya Sistema (GLONASS) measurements and is now capable of GPS integer ambiguity resolution is used. An offline version that can process the above and Galileo measurements simultaneously, including Galileo integer ambiguity resolution is also tested to evaluate the advantage of three constellations. A multi-day static data set observed under open sky is first tested to determine performance under ideal conditions. Two long road profile tests conducted in kinematic mode are then analyzed to assess the capability of the approach. The challenges of ...
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6مؤتمر
المؤلفون: Agarwal, Naman, O’Keefe, Kyle, Klukas, Richard
المساهمون: Natural Sciences and Engineering Research Council of Canada
المصدر: 2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN)
الإتاحة: https://doi.org/10.1109/ipin57070.2023.10332485Test
http://xplorestaging.ieee.org/ielx7/10332456/10332213/10332485.pdf?arnumber=10332485Test -
7مؤتمر
المؤلفون: Debnath, Satinath, O’Keefe, Kyle
المصدر: 2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN)
الإتاحة: https://doi.org/10.1109/ipin57070.2023.10332225Test
http://xplorestaging.ieee.org/ielx7/10332456/10332213/10332225.pdf?arnumber=10332225Test -
8دورية أكاديمية
المؤلفون: Naghdi, Sharareh, O'Keefe, Kyle P. G.
مصطلحات موضوعية: Trilateration, BLE, artificial intelligence, localization, obstacle
الوصف: One of the popular candidates in wireless technology for indoor positioning is Bluetooth Low Energy (BLE). However, this technology faces challenges related to Received Signal Strength Indicator (RSSI) fluctuations due to the behavior of the different advertising channels and the effect of human body shadowing among other effects. In order to mitigate these effects, the paper proposes and implements a dynamic Artificial Intelligence (AI) model that uses the three different BLE advertising channels to detect human body shadowing and compensate the RSSI values accordingly. An experiment in an indoor office environment is conducted. 70% of the observations are randomly selected and used for training and the remaining 30% are used to evaluate the algorithm. The results show that the AI model can properly detect and significantly compensate RSSI values for a dynamic blockage caused by a human body. This can significantly improve the RSSI-based ranges and the corresponding positioning accuracies. ; Natural Sciences and Engineering Research Council (NSERC)
وصف الملف: application/pdf
العلاقة: Naghdi, S., & O'Keefe, K. P. G. (2020). Detecting and Correcting for Human Obstacles in BLE Trilateration Using Artificial Intelligence. "Sensors". 2020(20) 1350. doi:10.3390/s20051350; CRDPJ 514520 – 17; http://hdl.handle.net/1880/111709Test; https://dx.doi.org/10.11575/PRISM/37620Test
الإتاحة: https://doi.org/10.3390/s20051350Test
https://doi.org/10.11575/PRISM/37620Test
http://hdl.handle.net/1880/111709Test -
9مؤتمر
المؤلفون: Gakne, Paul Verlaine, O'Keefe, Kyle
المساهمون: University of Calgary
المصدر: ITSNT 2018, International Technical Symposium on Navigation and Timing ; https://hal-enac.archives-ouvertes.fr/hal-01942257Test ; ITSNT 2018, International Technical Symposium on Navigation and Timing, Oct 2018, Toulouse, France. ⟨10.31701/itsnt2018.20⟩
الوصف: International audience
العلاقة: hal-01942257; https://hal-enac.archives-ouvertes.fr/hal-01942257Test; https://hal-enac.archives-ouvertes.fr/hal-01942257/documentTest; https://hal-enac.archives-ouvertes.fr/hal-01942257/file/ITSNT18_Gakne_O%27Keefe.pdfTest
الإتاحة: https://doi.org/10.31701/itsnt2018.20Test
https://hal-enac.archives-ouvertes.fr/hal-01942257Test
https://hal-enac.archives-ouvertes.fr/hal-01942257/documentTest
https://hal-enac.archives-ouvertes.fr/hal-01942257/file/ITSNT18_Gakne_O%27Keefe.pdfTest -
10دورية أكاديمية
المؤلفون: O'Keefe, Kyle P. G., Tjhai, Chandra
مصطلحات موضوعية: wearable sensors, step length, stride length, wearable multi-sensor system, forward kinematics, pitch angle, skeletal model, step size
الوصف: This paper demonstrates the use of multiple low-cost inertial/magnetic sensors as a pedestrian navigation system for indoor positioning. This research looks at the problem of pedestrian navigation in a practical manner by investigating dead-reckoning methods using low-cost sensors. This work uses the estimated sensor orientation angles to compute the step size from the kinematics of a skeletal model. The orientations of limbs are represented by the tilt angles estimated from the inertial measurements, especially the pitch angle. In addition, different step size estimation methods are compared. A sensor data logging system is developed in order to record all motion data from every limb segment using a single platform and similar types of sensors. A skeletal model of five segments is chosen to model the forward kinematics of the lower limbs. A treadmill walk experiment with an optical motion capture system is conducted for algorithm evaluation. The mean error of the estimated orientation angles of the limbs is less than 6 degrees. The results show that the step length mean error is 3.2 cm, the left stride length mean error is 12.5 cm, and the right stride length mean error is 9 cm. The expected positioning error is less than 5% of the total distance travelled. ; Natural Sciences and Engineering Research Council - Collaborative Research & Development Grant
وصف الملف: application/pdf
العلاقة: Tjhai, C., & O'Keefe, K. P. G. (2019). Using Step Size and Lower Limb Segment Orientation from Multiple Low-Cost Wearable Inertial/Magnetic Sensors for Pedestrian Navigation. "Sensors, 19", 3140. http://dx.doi.org/10.3390/s19143140Test; http://dx.doi.org/10.3390/s19143140Test; http://hdl.handle.net/1880/110646Test; https://dx.doi.org/10.11575/PRISM/37446Test
الإتاحة: https://doi.org/10.3390/s19143140Test
https://doi.org/10.11575/PRISM/37446Test
http://hdl.handle.net/1880/110646Test
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