Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection
Published:Dec 17, 2025 14:45
•1 min read
•ArXiv
Analysis
This article presents research on using Transformer models for detecting misbehavior in platooning, a critical aspect of autonomous vehicle safety. The focus on security and the application of a cutting-edge AI architecture (Transformers) suggests a potentially significant contribution to the field. The title clearly indicates the core topic and the methodology.
Key Takeaways
Reference
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