المؤلفون: Mendoza Silva, Germán Martín

المساهمون: University/Department: Universitat Jaume I. Escola de Doctorat

مرشدي الرسالة: Huerta Guijarro, Joaquín, Torres Sospedra, Joaquín

المصدر: TDX (Tesis Doctorals en Xarxa)

مصطلحات موضوعية: Posicionamiento en Interiores, Fingerprinting, WiFi, BLE, Evaluación, Recolección de muestras, Tecnologies de la informació i les comunicacions (TIC)

الوصف: This thesis mainly deals with the stages of model description and evaluation of Indoor Positioning Systems based on fingerprinting. Its first contribution is a meta-review that addresses the current state of the art and provides a critical assessment of the impact of publications on indoor positioning. The second contribution is two open datasets of WiFi and BLE RSS measurements that encourage experimentation and reproducibility of positioning solutions. The third is a set of guides, tools, and methods to improve the collection of WiFi and BLE samples. The fourth contribution is a method of selecting positions to update the characterization of the environment. The fifth contribution is evaluation guides and a procedure to measure the positioning error where the magnitude of the error is the distance of the route that joins the actual position and the estimated position.

الوصف (مترجم): Esta tesis trata principalmente las etapas de descripción del modelo y evaluación de Sistemas de Posicionamiento en Interiores basados en fingerprinting. Su primera aportación es un meta-review que revisa el estado actual del arte, y brinda una evaluación crítica sobre el impacto de las publicaciones sobre posicionamiento en interiores. La segunda aportación es dos datasets abiertos de mediciones de RSS de WiFi y BLE que fomentan la experimentación y la reproducibilidad de soluciones de posicionamiento. La tercera es un conjunto de guías, herramientas y métodos para mejorar la recolección de muestras de WiFi y BLE. La cuarta aportación es un método de selección de posiciones para actualizar la caracterización del entorno. La quinta aportación son guías de evaluación y un procedimiento para medir el error de posicionamiento donde la magnitud del error es la distancia de la ruta que une la posición real y la posición estimada.

وصف الملف: application/pdf

الوصول الحر: http://hdl.handle.net/10803/668885Test

المؤلفون: Torres-Sospedra, Joaquín, Quezada Gaibor, Darwin, Mendoza-Silva, Germán Martín, Nurmi, Jari, Koucheryavy, Yevgeni, Huerta, Joaquin

مصطلحات موضوعية: Wi-Fi fingerprinting, clustering, RSS

الوصف: Ponencia presentada en 2020 International Conference on Localization and GNSS (ICL-GNSS), 02-04 June 2020, Tampere, Finland ; Wi-Fi fingerprinting is a popular technique for Indoor Positioning Systems (IPSs) thanks to its low complexity and the ubiquity of WLAN infrastructures. However, this technique may present scalability issues when the reference dataset (radio map) is very large. To reduce the computational costs, k-Means Clustering has been successfully applied in the past. However, it is a general-purpose algorithm for unsupervised classification. This paper introduces three variants that apply heuristics based on radio propagation knowledge in the coarse and fine-grained searches. Due to the heterogeneity either in the IPS side (including radio map generation) and in the network infrastructure, we used an evaluation framework composed of 16 datasets. In terms of general positioning accuracy and computational costs, the best proposed k-means variant provided better general positioning accuracy and a significantly better computational cost –around 40% lower– than the original k-means.

وصف الملف: application/pdf

العلاقة: A-WEAR: A network for dynamic wearable applications with privacy constraints; NURMI, Jari, et al. 2020 International Conference on Localization and GNSS-Conference Proceedings. IEEE, 2020.; J. Torres-Sospedra, D. Quezada-Gaibor, G. M. Mendoza-Silva, J. Nurmi, Y. Koucheryavy and J. Huerta, "New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting," 2020 International Conference on Localization and GNSS (ICL-GNSS), 2020, pp. 1-6, doi:10.1109/ICL-GNSS49876.2020.9115419.; http://hdl.handle.net/10234/199257Test

الإتاحة: https://doi.org/10.1109/ICL-GNSS49876.2020.9115419Test
http://hdl.handle.net/10234/199257Test

المؤلفون: Mendoza-Silva, Germán Martín, Torres-Sospedra, Joaquín, Huerta, Joaquin

مصطلحات موضوعية: fingerprint identification, indoor radio, smart phones, wireless LAN, Wi-Fi fingerprinting

الوصف: Ponencia presentada en 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 25-28 April 2021 ; Nowadays, Location Based Services run over a net of heterogeneous devices (mainly smartphones) with different location capabilities thanks to, for instance, signals of opportunity as Wi-Fi. In contrast to professional deployments in controlled scenarios, the positioning error highly depends not only on the environment but also on the location. Traditional metrics for evaluating indoor positioning system may fail in obtaining lower-level details on the reported results. This paper introduces a way to perform a local-level analysis of the positioning errors. Our approach is based on analyses of the position-wise variance of positioning errors.

وصف الملف: application/pdf

العلاقة: 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring); G. M. Mendoza-Silva, J. Torres-Sospedra and J. Huerta, "Local-level Analysis of Positioning Errors in Wi-Fi Fingerprinting," 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021, pp. 1-5, doi:10.1109/VTC2021-Spring51267.2021.9448936.; http://hdl.handle.net/10234/199260Test

الإتاحة: https://doi.org/10.1109/VTC2021-Spring51267.2021.9448936Test
http://hdl.handle.net/10234/199260Test

المؤلفون: Potortì, Francesco, Park, Sangjoon, Crivello, Antonino, Palumbo, Filippo, GIROLAMI, MICHELE, Barsocchi, Paolo, Lee, Soyeon, Torres-Sospedra, Joaquín, Jimenez Ruiz, Antonio Ramon, Perez-Navarro, Antoni, Mendoza-Silva, Germán Martín, Seco, Fernando, ortiz, miguel, PERUL, Johan, Renaudin, Valerie, Kang, Hyunwoong, Park, Soyoung, Lee, Jae Hong, Park, Chan Gook, Ha, Jisu, Han, JaeSeung, Park, Changjun, Kim, Keunhye, Lee, Yonghyun, Gye, Seunghun, lee, keumryeol, Kim, Eunjee, Choi, Jeongsik, choi, Yang-Seok, Talwar, Shilpa, Cho, Seong Yun, Ben-Moshe, Boaz, Scherbakov, Alex, Antsfeld, Leonid, Sansano-Sansano, Emilio, Chidlovskii, Boris, Kronenwett, Nikolai, Prophet, Silvia, Landay, Yael, Marbel, Revital, Zheng, Lingxiang, Peng, Ao, Lin, Zhichao, Wu, Bang, Ma, Chengqi, Poslad, Stefan, Selviah, David, Wu, Wei, Ma, Zixiang, Zhang, Wenchao, Wei, Dongyan, Yuan, Hong, Jiang, Jun-Bang, Huang, Shao-Yung, Liu, Jing-Wen, Su, Kuan-Wu, Leu, Jenq-Shiou, Nishiguchi, Kazuki, BOUSSELHAM, Walid, Uchiyama, Hideaki, Thomas, Diego, Shimada, Atsushi, Taniguchi, Rin-ichiro, Cortés Puschel, Vicente, Lungenstrass, Tomás, Ashraf, Imran, Lee, Chanseok, Ali, Muhammad Usman, Im, Yeongjun, Kim, Gunzung, Eom, Jeongsook, Hur, Soojung, Park, Yongwan, Opiela, Miroslav, Moreira, Adriano, Nicolau, Maria João, Pendão, Cristiano, Silva, Ivo, Meneses, Filipe, Costa, António, Trogh, Jens, Plets, David, Chien, Ying-Ren, Chang, Tzu-Yu, Fang, Shih-Hau, Tsao, Yu

مصطلحات موضوعية: indoor localisation, indoor navigation, competition, benchmarking, smartphone-based positioning, foot-mounted pedestrian dead reckoning, Wi-Fi fingerprinting, magnetic field, camera-based positioning, inertial-based positioning, sensor fusion, Kalman filter, particle filter, stakeholders, atmospheric measurements, particle measurements, real-time systems, wireless fidelity, sensor systems

الوصف: IPIN 2019 Competition, sixth in a series of IPIN competitions, was held at the CNR Research Area of Pisa (IT), integrated into the program of the IPIN 2019 Conference. It included two on-site real-time Tracks and three off-site Tracks. The four Tracks presented in this paper were set in the same environment, made of two buildings close together for a total usable area of 1000 m 2 outdoors and and 6000 m 2 indoors over three floors, with a total path length exceeding 500 m. IPIN competitions, based on the EvAAL framework, have aimed at comparing the accuracy performance of personal positioning systems in fair and realistic conditions: past editions of the competition were carried in big conference settings, university campuses and a shopping mall. Positioning accuracy is computed while the person carrying the system under test walks at normal walking speed, uses lifts and goes up and down stairs or briefly stops at given points. Results presented here are a showcase of state-of-the-art systems tested side by side in real-world settings as part of the on-site real-time competition Tracks. Results for off-site Tracks allow a detailed and reproducible comparison of the most recent positioning and tracking algorithms in the same environment as the on-site Tracks.

وصف الملف: application/pdf

العلاقة: Development of human enhancement fire helmet and fire suppression support system; Basic Science Research Program; ICT Research and Development Program of MSIP/IITP (Development of Precise Positioning Technology for the Enhancement of Pedestrian Position/Spatial Cognition and Sports Competition Analysis); MICROCEBUS; REPNIN PLUS; TECHNOFUSION(III)CM; Development of wireless communication tracking-based location information system in disaster scene for fire-fighters and person who requested rescue; Strategic Priority Research Program; IEEE Access, Vol. 8 (2020); F. Potortì et al., "The IPIN 2019 Indoor Localisation Competition—Description and Results," in IEEE Access, vol. 8, pp. 206674-206718, 2020, doi:10.1109/ACCESS.2020.3037221.; http://hdl.handle.net/10234/200929Test

الإتاحة: https://doi.org/10.1109/ACCESS.2020.3037221Test
http://hdl.handle.net/10234/200929Test

المؤلفون: Mendoza-Silva, Germán Martín, Torres-Sospedra, Joaquín, Huerta, Joaquin, Montoliu Colás, Raul, Benítez, Fernando, Belmonte-Fernández, Óscar

مصطلحات موضوعية: indoor localization, Wi-Fi aps localization, weighted centroid, interpolation, LBS

الوصف: Knowing the location of Wi-Fi antennas may be critical for indoor localization. However, in a real environment, their positions may be unknown since they can be managed by external entities. This paper introduces a new method for evaluating the suitability of using the weighted centroid method for the 2D localization of a Wi-Fi AP. The method is based on the idea that the weighted centroid method provides its best results when there are fingerprints taken around the AP. In order to find the probability of being in the presence of such situations, a natural neighbor interpolation method is used to find the regions with the highest signal strengths. A geometrical method is then used to characterize that probability based on the distribution of those regions in relation to the AP position estimation given by the weighted centroid method. The paper describes the testing location and the used Wi-Fi fingerprints database. That database is used to create new databases that recreate different sampling possibilities through a samples deletion strategy. The original database and the newly created ones are then used to evaluate the localization results of several AP localization methods and the new method proposed in this paper. The evaluation results have shown that the proposed method is able to provide a proper probability for the suitability of using the weighted centroid method for localizing a Wi-Fi AP.

وصف الملف: application/pdf

العلاقة: Progress in Location-Based Services 2016 pp 27-47; info:eu-repo/grantAgreement/EC/H2020/642332; https://link.springer.com/book/10.1007/978-3-319-47289-8Test; Mendoza-Silva G.M., Torres-Sospedra J., Huerta J., Montoliu R., Benítez F., Belmonte O. (2017) Situation Goodness Method for Weighted Centroid-Based Wi-Fi APs Localization. In: Gartner G., Huang H. (eds) Progress in Location-Based Services 2016. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-47289-8_2Test; http://hdl.handle.net/10234/195621Test; https://doi.org/10.1007/978-3-319-47289-8_2Test

الإتاحة: https://doi.org/10.1007/978-3-319-47289-8_2Test
http://hdl.handle.net/10234/195621Test

المؤلفون: Mendoza-Silva, Germán Martín, Costa, Ana Cristina, Torres-Sospedra, Joaquín, Painho, Marco, Huerta, Joaquin

مصطلحات موضوعية: RSS regression, WiFi samples collection, WiFi fingerprinting, indoor positioning, training, analytical models, extrapolation, sensors, libraries, interpolation, wireless fidelity

الوصف: Data enrichment through interpolation or regression is a common approach to deal with sample collection for Indoor Localization with WiFi fingerprinting. This paper provides guidelines on where to collect WiFi samples, and proposes a new model for received signal strength regression. The new model creates vectors that describe the presence of obstacles between an access point and the collected samples. The vectors, the distance between the access point and the positions of the samples, and the collected, are used to train a Support Vector Regression. The experiments included some relevant analyses and showed that the proposed model improves received signal strength regression in terms of regression residuals and positioning accuracy.

وصف الملف: application/pdf

العلاقة: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361Test; MENDOZA-SILVA, Germán, et al. Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting. IEEE Sensors Journal, 2021.; http://hdl.handle.net/10234/193563Test; https://doi.org/10.1109/JSEN.2021.3073878Test

الإتاحة: https://doi.org/10.1109/JSEN.2021.3073878Test
http://hdl.handle.net/10234/193563Test

المؤلفون: Torres-Sospedra, Joaquín, Richter, Philipp, Moreira, Adriano, Mendoza-Silva, Germán Martín, Lohan, Elena Simona, Trilles, Sergio, Matey-Sanz, Miguel, Huerta, Joaquin

مصطلحات موضوعية: indoor positioning, Wi-Fi fingerprinting, clustering, computational costs, time complexity, benchmarking, reproducibility

الوصف: Wi-Fi fingerprinting is a well-known technique used for indoor positioning. It relies on a pattern recognition method that compares the captured operational fingerprint with a set of previously collected reference samples (radio map) using a similarity function. The matching algorithms suffer from a scalability problem in large deployments with a huge density of fingerprints, where the number of reference samples in the training dataset is prohibitively large. This paper presents a comprehensive comparative study of existing methods to reduce the complexity and size of the radio map used at the operational stage. Our empirical results show that most of the methods reduce the computational burden at the expense of failing to provide a competitive accuracy. Among the studied methods, only k-means, affinity propagation, and the rules based on the strongest Access Point properly balance the positioning accuracy and computational time. In addition to the comparative results, this paper also introduces a new evaluation framework with multiple datasets, aiming at getting more general results and contributing to a better reproducibility of new proposed solutions in the future.

وصف الملف: application/pdf

العلاقة: Programa Torres-Quevedo, PTQ2018-009981; PRISMA project (#313039); UIDB/00319/2020; UJI’s research programme PREDOC/2016/55 and POSDOC-B/2018/12; https://ieeexplore.ieee.org/document/9169843Test; Lucie Klus, Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Elena Simona Lohan, Carlos Granell, Jari Nurmi, "RSS Fingerprinting Dataset Size Reduction Using Feature-Wise Adaptive k-Means Clustering", Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) 2020 12th International Congress on, pp. 195-200, 2020; http://hdl.handle.net/10234/191358Test; https://doi.org/10.1109/TMC.2020.3017176Test

الإتاحة: https://doi.org/10.1109/TMC.2020.3017176Test
http://hdl.handle.net/10234/191358Test

المؤلفون: Furfari, Francesco, Crivello, Antonino, Baronti, Paolo, Barsocchi, Paolo, GIROLAMI, MICHELE, Palumbo, Filippo, Quezada Gaibor, Darwin, Mendoza-Silva, Germán Martín, Torres-Sospedra, Joaquín

مصطلحات موضوعية: Indoor localization, Location based services, Context-awareness, Service discovery protocol

الوصف: The technological solutions and communication capabilities offered by the Internet of Things paradigm, in terms of raising availability of wearable devices, the ubiquitous internet connection, and the presence on the market of service-oriented solutions, have allowed a wide proposal of Location Based Services (LBS). In a close future, we foresee that companies and service providers will have developed reliable solutions to address indoor positioning, as basis for useful location based services. These solutions will be different from each other and they will adopt different hardware and processing techniques. This paper describes the proposal of a unified approach for Indoor Localization Systems that enables the cooperation between heterogeneous solutions and their functional modules. To this end, we designed an integrated architecture that, abstracting its main components, allows a seamless interaction among them. Finally, we present a working prototype of such architecture, which is based on the popular Telegram application for Android, as an integration demonstrator. The integration of the three main phases –namely the discovery phase, the User Agent self-configuration, and the indoor map retrieval/rendering– demonstrates the feasibility of the proposed integrated architecture

وصف الملف: application/pdf

العلاقة: European Union’s H2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant agreement No. 813278; Internet of Things Vol. 13, 100334 (March 2021); Francesco Furfari, Antonino Crivello, Paolo Baronti, Paolo Barsocchi, Michele Girolami, Filippo Palumbo, Darwin Quezada-Gaibor, Germán M. Mendoza Silva, Joaquín Torres-Sospedra, Discovering location based services: A unified approach for heterogeneous indoor localization systems, Internet of Things, Volume 13, 2021, 100334, ISSN 2542-6605, https://doi.org/10.1016/j.iot.2020.100334Test; http://hdl.handle.net/10234/193375Test; https://doi.org/10.1016/j.iot.2020.100334Test

الإتاحة: https://doi.org/10.1016/j.iot.2020.100334Test
http://hdl.handle.net/10234/193375Test

المؤلفون: Mendoza-Silva, Germán Martín, Torres-Sospedra, Joaquín, Potortì, Francesco, Moreira, Adriano, Knauth, Stefan, Berkvens, Rafael, Huerta, Joaquin

مصطلحات موضوعية: error measurement, indoor pathfinding, indoor positioning system (IPS) evaluation, Wi-Fi fingerprinting

الوصف: Indoor positioning systems (IPSs) suffer from a lack of standard evaluation procedures enabling credible comparisons: this is one of the main challenges hindering their widespread market adoption. Traditionally, accuracy evaluation is based on positioning errors defined as the Euclidean distance between the true positions and the estimated positions. While Euclidean is simple, it ignores obstacles and floor transitions. In this article, we describe procedures that measure a positioning error defined as the length of the pedestrian path that connects the estimated position to the true position. The procedures apply pathfinding on floor maps using visibility graphs (VGs) or navigational meshes (NMs) for vector maps and fast marching (FM) for raster maps. Multifloor and multibuilding paths use the information on vertical in-building communication ways and outdoor paths. The proposed measurement procedures are applied to position estimates provided by the IPSs that participated in the EvAAL-ETRI 2015 competition. Procedures are compared in terms of pedestrian path realism, indoor model complexity, path computation time, and error magnitudes. The VGs algorithm computes shortest distance paths; NMs produce very similar paths with significantly shorter computation time; and FM computes longer, more natural-looking paths at the expense of longer computation time and memory size. The 75th percentile of the measured error differs among the methods from 2.2 to 3.7 m across the evaluation sets.

وصف الملف: application/pdf

العلاقة: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 70, 2021; https://ieeexplore.ieee.org/document/9186638Test; MENDOZA-SILVA, Germán Martín, et al. Beyond Euclidean Distance for Error Measurement in Pedestrian Indoor Location. IEEE Transactions on Instrumentation and Measurement, 2020, vol. 70, p. 1-11.; http://hdl.handle.net/10234/191365Test; https://doi.org/10.1109/TIM.2020.3021514Test

الإتاحة: https://doi.org/10.1109/TIM.2020.3021514Test
http://hdl.handle.net/10234/191365Test

المؤلفون: Potorti, Francesco, Park, Sangjoon, Crivello, Antonino, Palumbo, Filippo, Girolami, Michele, Barsocchi, Paolo, Lee, Soyeon, Torres-Sospedra, Joaquin, Ruiz, Antonio Ramon Jimenez, Perez-Navarro, Antoni, Mendoza-Silva, German Martin, Seco, Fernando, Ortiz, Miguel, Perul, Johan, Renaudin, Valerie, Kang, Hyunwoong, Park, Soyoung, Lee, Jae Hong, Park, Chan Gook, Ha, Jisu, Han, Jaeseung, Park, Changjun, Kim, Keunhye, Lee, Yonghyun, Gye, Seunghun, Lee, Keumryeol, Kim, Eunjee, Choi, Jeong-Sik, Choi, Yang-Seok, Talwar, Shilpa, Cho, Seong Yun, Ben-Moshe, Boaz, Scherbakov, Alex, Antsfeld, Leonid, Sansano-Sansano, Emilio, Chidlovskii, Boris, Kronenwett, Nikolai, Prophet, Silvia, Landay, Yael, Marbel, Revital, Zheng, Lingxiang, Peng, Ao, Lin, Zhichao, Wu, Bang, Ma, Chengqi, Poslad, Stefan, Selviah, David R., Wu, Wei, Ma, Zixiang, Zhang, Wenchao, Wei, Dongyan, Yuan, Hong, Jiang, Jun-Bang, Huang, Shao-Yung, Liu, Jing-Wen, Su, Kuan-Wu, Leu, Jenq-Shiou, Nishiguchi, Kazuki, Bousselham, Walid, Uchiyama, Hideaki, Thomas, Diego, Shimada, Atsushi, Taniguchi, Rin-Ichiro, Puschel, Vicente Cortes, Poulsen, Tomas Lungenstrass, Ashraf, Imran, Lee, Chanseok, Ali, Muhammad Usman, Im, Yeongjun, Kim, Gunzung, Eom, Jeongsook, Hur, Soojung, Park, Yongwan, Opiela, Miroslav, Moreira, Adriano, Nicolau, Maria Joao, Pendao, Cristiano, Silva, Ivo, Meneses, Filipe, Costa, Antonio, Trogh, Jens, Plets, David, Chien, Ying-Ren, Chang, Tzu-Yu, Fang, Shih-Hau, Tsao, Yu

المصدر: IEEE access, 8, 206674–206718 ; ISSN: 2169-3536

مصطلحات موضوعية: ddc:620, Engineering & allied operations, info:eu-repo/classification/ddc/620

الوصف: PIN 2019 Competition, sixth in a series of IPIN competitions, was held at the CNR Research Area of Pisa (IT), integrated into the program of the IPIN 2019 Conference. It included two on-site real-time Tracks and three off-site Tracks. The four Tracks presented in this paper were set in the same environment, made of two buildings close together for a total usable area of 1000 m 2 outdoors and and 6000 m 2 indoors over three floors, with a total path length exceeding 500 m. IPIN competitions, based on the EvAAL framework, have aimed at comparing the accuracy performance of personal positioning systems in fair and realistic conditions: past editions of the competition were carried in big conference settings, university campuses and a shopping mall. Positioning accuracy is computed while the person carrying the system under test walks at normal walking speed, uses lifts and goes up and down stairs or briefly stops at given points. Results presented here are a showcase of state-of-the-art systems tested side by side in real-world settings as part of the on-site real-time competition Tracks. Results for off-site Tracks allow a detailed and reproducible comparison of the most recent positioning and tracking algorithms in the same environment as the on-site Tracks.

وصف الملف: application/pdf

العلاقة: info:eu-repo/semantics/altIdentifier/wos/000594446900001; info:eu-repo/semantics/altIdentifier/issn/2169-3536; https://publikationen.bibliothek.kit.edu/1000130123Test; https://publikationen.bibliothek.kit.edu/1000130123/104023450Test; https://doi.org/10.5445/IR/1000130123Test

الإتاحة: https://doi.org/10.5445/IR/1000130123Test
https://doi.org/10.1109/ACCESS.2020.3037221Test
https://publikationen.bibliothek.kit.edu/1000130123Test
https://publikationen.bibliothek.kit.edu/1000130123/104023450Test