AI RESEARCH
SDVDiag: Using Context-Aware Causality Mining for the Diagnosis of Connected Vehicle Functions
arXiv CS.LG
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ArXi:2604.03391v1 Announce Type: cross Real-world implementations of connected vehicle functions are spreading steadily, yet operating these functions reliably remains challenging due to their distributed nature and the complexity of the underlying cloud, edge, and networking infrastructure. Quick diagnosis of problems and understanding the error chains that lead to failures is essential for reducing downtime.