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Structured Representation Probing for Risk Anticipation in End-to-End Autonomous Driving
End-to-end driving policies form structured internal representations of traffic, ego behavior, and road constraints. These representations offer a monitoring interface for anticipating failures, complementing risk signals from trajectories, controls, and manually designed features. We introduce the
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