Ensemble Learning Framework for Anomaly Detection in Autonomous Driving Systems

The inherent limitations of individual AI models underscore the need for robust anomaly detection techniques for securing autonomous driving systems. To address these limitations, we propose a comprehensive ensemble learning framework specifically designed for anomaly detection in autonomous driving...

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Hlavní autoři:	Sazid Nazat, Walaa Alayed, Lingxi Li, Mustafa Abdallah
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-08-01
Edice:	Sensors
Témata:	anomaly detection ensemble learning autonomous driving systems VANET security data engineering machine learning
On-line přístup:	https://www.mdpi.com/1424-8220/25/16/5105
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