Yue Yao

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving

This thesis demonstrates that moderate-degree polynomials capture real-world motion dynamics with high fidelity without constraining predictive performance, and shows that standard in-distribution evaluation and regression-based metrics may fail to reflect true model generalization and prediction plausibility.