activity
20242026
most citedEvaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies

12 citations · 19 across the 14 of their papers we have counts for

collaborators
Showing cs.AIShow all

2 papers · 1 filter

cs.AI2025

Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization

Harshith Manjunath, Lucas Heublein, Tobias Feigl +1

Large language models (LLMs) are advanced AI systems applied across various domains, including NLP, information retrieval, and recommendation systems. Despite their adaptability an…

cs.AI2024

Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization

Lucas Heublein, Tobias Feigl, Thorsten Nowak +3

Jamming devices disrupt signals from the global navigation satellite system (GNSS) and pose a significant threat, as they compromise the robustness of accurate positioning. The det…