A CPT-based hierarchical model for interactive driving behavior is learned from real data and matches neural network accuracy on roundabout merging while using less data and offering interpretability over TTC baselines.
Modeling and Recognizing Driver Behavior Based on Driving Data: A Survey,
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Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory
A CPT-based hierarchical model for interactive driving behavior is learned from real data and matches neural network accuracy on roundabout merging while using less data and offering interpretability over TTC baselines.