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Intelligente Trainingsdatenpipeline für autonome Fahrfunktionen

  • 01-12-2025
  • Forschung
Published in:
Authors
Azarm Nowzad
Torsten Stiehm
Thomas Limbrunner
Hendrik Königshof
Published in
ATZ - Automobiltechnische Zeitschrift | Issue 12/2025

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Excerpt

Bei der Entwicklung von Fahrfunktionen auf Basis künstlicher Intelligenz entscheidet die Verfügbarkeit und Relevanz von Daten über die Robustheit und Skalierbarkeit von Wahrnehmungssystemen. Das Framework für eine optimale Datenpipeline aus dem FAT-Projekt „just better DATA“ verbessert die Modelle durch datenzentrierte Abläufe. Die hier von Aumovio, Luxoft, Technische Hochschule Deggendorf und FZI vorgestellte smarte Datenschleife verwendet Triggerfunktionen als zentrale Entscheidungslogik, um dynamische Abläufe auf Grundlage der realen Modellleistung oder des im Backend aufgedeckten Datenbedarfs zu ermöglichen. …

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Title
Intelligente Trainingsdatenpipeline für autonome Fahrfunktionen
Authors
Azarm Nowzad
Torsten Stiehm
Thomas Limbrunner
Hendrik Königshof
Publication date
01-12-2025
Publisher
Springer Fachmedien Wiesbaden
Published in
ATZ - Automobiltechnische Zeitschrift / Issue 12/2025
Print ISSN: 0001-2785
Electronic ISSN: 2192-8800
DOI
https://doi.org/10.1007/s35148-025-2297-9

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