Towards Accelerated Localization Performance Across Indoor Positioning Datasets

Lucie Klus, Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Elena Simona Lohan, Carlos Granell, Jari Nurmi

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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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 prediction mechanisms offer different complexity to the system. In this work, we propose a fingerprinting positioning method for multi-building and multi-floor deployments, composed of a cascade of three models for building classification, floor classification, and 2D localization regression. We conduct an exhaustive search for the optimally performing one in each step of the cascade while validating on 14 different openly available datasets. As a result, we bring forward the best-performing combination of models in terms of overall positioning accuracy and processing speed and evaluate on independent sets of samples. We reduce the mean prediction time by 71% while achieving comparable positioning performance across all considered datasets. Moreover, in case of voluminous training dataset, the prediction time is reduced down to 1% of the benchmark's.

Original languageEnglish
Title of host publication2022 International Conference on Localization and GNSS, ICL-GNSS 2022 - Proceedings
EditorsJari Nurmi, Elena-Simona Lohan, Joaquin Torres Sospedra, Heidi Kuusniemi, Aleksandr Ometov
Number of pages7
ISBN (Electronic)9781665405751
ISBN (Print)9781665405768
Publication statusPublished - 2022
Publication typeA4 Article in conference proceedings
EventInternational Conference on Localization and GNSS - Tampere, Finland
Duration: 7 Jun 20229 Jun 2022

Publication series

NameInternational Conference on Localization and GNSS
ISSN (Print)2325-0747
ISSN (Electronic)2325-0771


ConferenceInternational Conference on Localization and GNSS


  • Cascade
  • Fingerprinting
  • Indoor positioning
  • Localization
  • Machine learning
  • Prediction speed

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Aerospace Engineering


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