Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 Competition
Impacto
Scholar |
Otros documentos de la autoría: Potortì, Francesco; Torres-Sospedra, Joaquín; Quezada Gaibor, Darwin; Jimenez Ruiz, Antonio Ramon; Seco, Fernando; Perez-Navarro, Antoni; ortiz, miguel; Zhu, Ni; Renaudin, Valerie; Ichikari, Ryosuke
Metadatos
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INVESTIGACIONMetadatos
Título
Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 CompetitionAutoría
Fecha de publicación
2022-03Editor
Institute of Electrical and Electronics EngineersISSN
1530-437X; 1558-1748Cita bibliográfica
F. Potortì et al., "Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 Competition," in IEEE Sensors Journal, vol. 22, no. 6, pp. 5011-5054, 15 March15, 2022, doi: 10.1109/JSEN.2021.3083149.Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with realistic movement, using the EvAAL framework. The ... [+]
Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with realistic movement, using the EvAAL framework. The competition provided a unique overview of the state-of-the-art of systems, technologies, and methods for indoor positioning and navigation purposes. Through fair comparison of the performance achieved by each system, the competition was able to identify the most promising approaches and to pinpoint the most critical working conditions. In 2020, the competition included 5 diverse off-site off-site Tracks, each resembling real use cases and challenges for indoor positioning. The results in terms of participation and accuracy of the proposed systems have been encouraging. The best performing competitors obtained a third quartile of error of 1 m for the Smartphone Track and 0.5 m for the Foot-mounted IMU Track. While not running on physical systems, but only as algorithms, these results represent impressive achievements. [-]
Publicado en
IEEE Sensors Journal, vol. 22, no. 6, pp. 5011-5054, 15 March 15, 2022Entidad financiadora
European Union’s Horizon 2020 Research and Innovation programme | Ministerio de Ciencia e Innovación | Ministry of Science and Technology (MOST) of Taiwan | Ministry of Education and Academy of Science, Slovakia | Slovak Research and Development Agency | National Natural Science Foundation of China | Tianjin Research Funding | JSPS KAKENHI | National Key Research and Development Program of China
Código del proyecto o subvención
RTI2018-095168-B-C55 | PTQ2018-009981 | TEC2017-90808-REDT | UIDB/00319/2020 | PD/BD/137401/2018 | 109-2221-E-197-026 | 1/0177/21 | APVV-15-0091 | 61771338 | 18ZXRHSY00190 | JP17H01762 | 2016YFB0502202 | Marie Skłodowska Curie Grant 813278
Derechos de acceso
info:eu-repo/semantics/openAccess
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Excepto si se señala otra cosa, la licencia del ítem se describe como: http://creativecommons.org/licenses/by/4.0/
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