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LocaRDS: A Localization Reference Data Set.

Matthias Schäfer1,2, Martin Strohmeier2,3,4, Mauro Leonardi5

  • 1Department of Computer Science, University of Kaiserslautern, 67663 Kaiserslautern, Germany.

Sensors (Basel, Switzerland)
|August 28, 2021
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Summary

Researchers developed LocaRDS, a large, open flight data set, to scientifically evaluate wireless localization methods. This enables better real-world performance assessment and comparison of positioning technologies.

Keywords:
TDoAaircraft localizationdata setlocalizationpositioningself-positioning

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Geospatial Science

Background:

  • Wireless signal localization is crucial for applications like radar and satellite navigation.
  • Existing research lacks standardized methods for real-world performance assessment and comparison of localization techniques.
  • There is a need for a robust scientific methodology to evaluate and compare diverse localization solutions.

Purpose of the Study:

  • To establish a solid scientific foundation for localization research.
  • To introduce LocaRDS, an open reference dataset for crowdsourced flight data.
  • To enable rigorous testing, analysis, and direct comparison of localization methods.

Main Methods:

  • Developed LocaRDS, an open dataset comprising over 222 million real-world crowdsourced flight measurements.
  • Collected data from over 50 million transmissions recorded by 323 sensors.
  • Demonstrated methods for verifying data quality within LocaRDS.

Main Results:

  • LocaRDS provides a verified dataset suitable for scientific evaluation of localization techniques.
  • The dataset facilitates direct comparison of different localization algorithms.
  • An example implementation for aircraft localization and relevant metrics were provided.

Conclusions:

  • LocaRDS significantly advances the methodology for localization research by providing a standardized, real-world dataset.
  • The dataset enables objective performance assessment and comparison of wireless localization methods.
  • Future investigations in localization can leverage LocaRDS for enhanced scientific rigor.