Indoor Positioning and Indoor Navigation
Published May 31, 2023 | Version 1.0
Software Open

Supplementary Materials for ≪Let's Talk about k-NN for Indoor Positioning: Myths and Facts in RF-based Fingerprinting≫

Authors/Creators

  • 1. Universidade do Minho
  • 2. Universitat Jaume I
  • 3. Consiglio Nazionale delle Ricerche
  • 4. Universitat Oberta de Catalunya

Description

This package incldudes the Supplementary Materials for the paper  ≪Let's Talk about k-NN for Indoor Positioning: Myths and Facts in RF-based Fingerprinting≫

Files

Zenodo 7599736 - Datasets and Methods.zip

Files (1.5 GB)

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Additional details

Funding

European Commission
ORIENTATE - Low-cost Reliable Indoor Positioning in Smart Factories 101023072
Fundação para a Ciência e Tecnologia
UIDB/00319/2020 - ALGORITMI Research Center UIDB/00319/2020