Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets
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Otros documentos de la autoría: Torres-Sospedra, Joaquín; Silva, Ivo; Klus, Lucie; Quezada Gaibor, Darwin; Crivello, Antonino; Barsocchi, Paolo; Pendão, Cristiano; Lohan, Elena Simona; Nurmi, Jari; Moreira, Adriano
Metadatos
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Título
Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous DatasetsAutoría
Fecha de publicación
2021-11-29Editor
IEEECita bibliográfica
TORRES-SOSPEDRA, Joaquín, et al. Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets. En 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2021. p. 1-8.Tipo de documento
info:eu-repo/semantics/conferenceObjectVersión
info:eu-repo/semantics/submittedVersionPalabras clave / Materias
Resumen
The evaluation of Indoor Positioning Systems (IPSs)
mostly relies on local deployments in the researchers’ or partners’
facilities. The complexity of preparing comprehensive experiments, collecting data, and consi ... [+]
The evaluation of Indoor Positioning Systems (IPSs)
mostly relies on local deployments in the researchers’ or partners’
facilities. The complexity of preparing comprehensive experiments, collecting data, and considering multiple scenarios usually
limits the evaluation area and, therefore, the assessment of the
proposed systems. The requirements and features of controlled
experiments cannot be generalized since the use of the same
sensors or anchors density cannot be guaranteed. The dawn of
datasets is pushing IPS evaluation to a similar level as machinelearning models, where new proposals are evaluated over many
heterogeneous datasets. This paper proposes a way to evaluate
IPSs in multiple scenarios, that is validated with three use cases.
The results prove that the proposed aggregation of the evaluation
metric values is a useful tool for high-level comparison of IPSs. [-]
Descripción
Ponencia presentada en 11th International Conference on Indoor Positioning and Indoor Navigation (IPIN), 29 November - 2 December 2021, Lloret de Mar, Spain
Publicado en
2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN). Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781665447348Entidad financiadora
European Union’s Horizon 2020 Research and Innovation programme, Marie Sklodowska Curie grant | FCT – Fundaçao para a Ciência e Tecnologia within the R&D Units Project Scope | Ministerio de Ciencia, Innovación y Universidades (Spain)
Código del proyecto o subvención
813278 | UIDB/00319/2020 | PD/BD/137401/2018 | INSIGNIA, PTQ2018-009981
Url de la subvención
http://www.a-wear.eu/
Título del proyecto o subvención
A-WEAR: A network for dynamic wearable applications with privacy constraints
Derechos de acceso
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess