Ensembling multiple radio maps with dynamic noise in fingerprint-based indoor positioning

التفاصيل البيبلوغرافية
العنوان: Ensembling multiple radio maps with dynamic noise in fingerprint-based indoor positioning
المؤلفون: Torres-Sospedra, Joaquín, Aranda, Fernando J., Alvarez, Fernando J., Quezada-Gaibor, Darwin, Silva, Ivo Miguel Menezes, Pendão, Cristiano Gonçalves, Moreira, Adriano
المساهمون: Universidade do Minho
بيانات النشر: IEEE, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Indoor Positioning, Fingerprinting, Radio Map, Noisy samples, Ensemble, Science & Technology
الوصف: Fingerprint-based indoor positioning is widely used in many contexts, including pedestrian and autonomous vehicles navigation. Many approaches have used traditional Machine Learning models to deal with fingerprinting, being k-NN the most common used one. However, the reference data (or radio map) is generally limited, as data collection is a very demanding task, which degrades overall accuracy. In this work, we propose a novel approach to add random noise to the radio map which will be used in combination with an ensemble model. Instead of augmenting the radio map, we create n noisy versions of the same size, i.e. our proposed Indoor Positioning model will combine n estimations obtained by independent estimators built with the n noisy radio maps. The empirical results have shown that our proposed approach improves the baseline method results in around 10% on average.
الوصف (مترجم): The authors gratefully acknowledge funding from Ministerio de Ciencia, Innovacion y Universidades (INSIGNIA, PTQ2018-009981 and MICROCEBUS, RTI2018-095168-B-C54); Ministerio de Economia, Industria y Competitividad (REPNIN+, TEC2017-90808-REDT); European Union's H2020 Research and Innovation programme under the Marie SklodowskaCurie grant agreement No.813278 (A-WEAR, http://www.a-wear.euTest/); FCT Fundacao para a Ciencia e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020 and the PhD fellowship PD/BD/137401/2018
وصف الملف: application/pdf
اللغة: English
العلاقة: J. Torres-Sospedra et al., "Ensembling Multiple Radio Maps with Dynamic Noise in Fingerprint-based Indoor Positioning," 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), Helsinki, Finland, 2021, pp. 1-5, doi: 10.1109/VTC2021-Spring51267.2021.9448947; 9781728189642; 1550-2252; https://ieeexplore.ieee.org/document/9448947Test
DOI: 10.1109/VTC2021-Spring51267.2021.9448947
الإتاحة: https://hdl.handle.net/1822/82113Test
حقوق: open access
رقم الانضمام: rcaap.com.repositorium.repositorium.sdum.uminho.pt.1822.82113
قاعدة البيانات: RCAAP
الوصف
DOI:10.1109/VTC2021-Spring51267.2021.9448947