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This study proposes a novel context-aware knowledge graph (CKG) framework to enhance traffic speed forecasting by effectively modeling spatial and temporal contexts.

Object detection is a critical component of autonomous vehicle perception systems. However, domain shifts between training environments and real-world scenarios often degrade detector performance.