ListarInstitute of New Imaging Technologies (INIT) por tema "localization"

Mostrando ítems 1-3 de 3

    • openAccess   A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges 

      Ometov, Aleksandr; Shubina, Viktoriia; Klus, Lucie; Skibińska, Justyna; Saafi, Salwa; Pascacio, Pavel; Flueratoru, Laura; Quezada Gaibor, Darwin; Chukhno, Nadezhda; Chukhno, Olga; Ali, Asad; Channa, Asma; Svertoka, Ekaterina; QAIM, WALEED BIN; Casanova-Marqués, Raúl; Holcer, Sylvia; Torres-Sospedra, Joaquín; Casteleyn, Sven; Ruggeri, Giuseppe; ARANITI, Giuseppe; Burget, Radim; Hosek, Jiri Elsevier (2021-04-08)
      Technology is continually undergoing a constituent development caused by the appearance of billions new interconnected “things” and their entrenchment in our daily lives. One of the underlying versatile technologies, namely ...

    • closedAccess   Towards Accelerated Localization Performance Across Indoor Positioning Datasets 

      Klus, Lucie; Quezada Gaibor, Darwin; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Granell, Carlos; Nurmi, Jari IEEE (2022)
      The localization speed and accuracy in the indoor scenario can greatly impact the Quality of Experience of the user. While many individual machine learning models can achieve comparable positioning performance, their ...

    • openAccess   TUJI1 Dataset: Multi-device dataset for indoor localization with high measurement density 

      Klus, Lucie; Klus, Roman; Lohan, Elena Simona; Nurmi, Jari; Granell, Carlos; Valkama, Mikko; Talvitie, Jukka; Casteleyn, Sven; Torres-Sospedra, Joaquín Elsevier (2024-03-22)
      Positioning in indoor scenarios using signals of opportunity is an effective solution enabling accurate and reliable performance in Global Navigation Satellite System (GNSS)-obscured scenarios. Despite the availability of ...