Changjiu Ning

Integrating Expert Knowledge and Traffic Data for Lane-Changing Intention Prediction in Autonomous Vehicles

Integrating Expert Knowledge and Traffic Data for Lane-Changing Intention Prediction in Autonomous Vehicles

Accurate vehicle intention prediction is critical for autonomous driving safety in complex traffic environments. To address the interpretability limitations of data-driven methods while maintaining high accuracy, this letter proposes a knowledge-data co-learning framework featuring: (1) a knowledge-