Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets

Joaquín Torres-Sospedra, Ivo Silva, Lucie Klus, Darwin Quezada-Gaibor, Antonino Crivello, Paolo Barsocchi, Cristiano Pendão, Elena Simona Lohan, Jari Nurmi, Adriano Moreira

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

Abstract

The evaluation of Indoor Positioning Systems (IPS) 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 machine-learning 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.
Original languageEnglish
Title of host publication2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
PublisherIEEE
Number of pages8
ISBN (Electronic)978-1-6654-0402-0
DOIs
Publication statusPublished - 4 Jan 2022
Publication typeA4 Article in conference proceedings
EventInternational Conference on Indoor Positioning and Indoor Navigation - Lloret de Mar, Spain
Duration: 29 Nov 20212 Dec 2021

Publication series

NameInternational Conference on Indoor Positioning and Indoor Navigation
ISSN (Electronic)2471-917X

Conference

ConferenceInternational Conference on Indoor Positioning and Indoor Navigation
Country/TerritorySpain
CityLloret de Mar
Period29/11/212/12/21

Keywords

  • eess.SY
  • cs.LG
  • cs.PF
  • cs.SY

Publication forum classification

  • Publication forum level 1

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