Adaptive Indoor Area Localization for Perpetual Crowdsourced Data Collection

The accuracy of fingerprinting-based indoor localization correlates with the quality and up-to-dateness of collected training data. Perpetual crowdsourced data collection reduces manual labeling effort and provides a fresh data base. However, the decentralized collection comes with the cost of heter...

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Detalles Bibliográficos
Autores principales: Laska, Marius, Blankenbach, Jörg, Klamma, Ralf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085741/
https://www.ncbi.nlm.nih.gov/pubmed/32155807
http://dx.doi.org/10.3390/s20051443

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085741/
https://www.ncbi.nlm.nih.gov/pubmed/32155807
http://dx.doi.org/10.3390/s20051443

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