Real-world hardware deployment of a lane change prediction architecture using KGE and Bayesian inference that anticipates target vehicle maneuvers 3-4 seconds in advance.
Explainable lane change prediction for near-crash scenarios using knowledge graph embeddings and retrieval augmented generation
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Real-World Deployment of a Lane Change Prediction Architecture Based on Knowledge Graph Embeddings and Bayesian Inference
Real-world hardware deployment of a lane change prediction architecture using KGE and Bayesian inference that anticipates target vehicle maneuvers 3-4 seconds in advance.