Analyzing Risks in GNSS: A Data-Driven Approach

Activity: Talk or presentation › Poster presentation › Science to science

Description

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.
Period8 Feb 2024
Event titleGraz Center for Machine Learning Conference
Event typeConference
LocationGraz, AustriaShow on map
Degree of RecognitionRegional

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Experimental

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