Published June 6, 2022 | Version 1.0
Software Open

Supplementary materials for "Towards Accelerated Localization Performance Across Indoor Positioning Datasets"

Authors/Creators

  • 1. Tampere University, Universitat Jaume I
  • 2. Universitat Jaume I, Tampere University
  • 3. Algoritmi Research Centre, Universitat Jaume I

Description

The file includes source code for the method described in "Towards Accelerated Localization Performance
Across Indoor Positioning Datasets" (10.1109/ICL-GNSS54081.2022.9797035), example dataset, and readme file with all necessary information.

Files

Towards Accelerated Localization Performance Across Indoor Positioning Datasets - Supplementary materials.zip

Files (59.2 kB)

Additional details

Funding

European Commission
A-WEAR - A network for dynamic WEarable Applications with pRivacy constraints 813278
European Commission
ORIENTATE - Low-cost Reliable Indoor Positioning in Smart Factories 101023072