Analyzing Risks in GNSS: A Data-Driven Approach

Aktivität: Vortrag oder Präsentation › Posterpräsentation › Science to science

Beschreibung

GNSS (Global Navigation Satellite System) is a satellite-based navigation system that has become an essential part of our everyday lives, providing worldwide information about our current geographical position and the exact time. The areas of application for GNSS services are nearly limitless.
However, the potential impacts of GNSS failure or defectiveness could result in significant financial, material, and personal damages. Identifying such issues is crucial.
This poster focuses on a data-driven approach for identifying malfunctions in GNSS signals. By incorporating diverse levels of GNSS data and utilizing machine-learning techniques such as transfer learning, autoencoders, and clustering algorithms, the aim is to detect GNSS interferences and issue timely warnings to users.
Zeitraum8 Feb. 2024
EreignistitelGraz Center for Machine Learning Conference
VeranstaltungstypKonferenz
OrtGraz, ÖsterreichAuf Karte anzeigen
BekanntheitsgradRegional

ASJC Scopus Sachgebiete

  • Artificial intelligence
  • Signalverarbeitung

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Experimental

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