ClarusC64/autonomous-driving-driver-vehicle-coherence-optimal-policy-selection-v0.1

What this dataset tests Whether a system can choose a vehicle policy that maximizes coherence across: driver state vehicle behavior scene context. This is not a single driving style. It is policy manifold navigation. Required outputs selected_policy_id policy_mode predicted_coherence_trajectory intervention_intensity communication_strategy policy_switch_trigger Scoring conventions trajectory is a sequence of coherence values 0 to 1 intensity is low, medium, or high switch… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-driver-vehicle-

<iframe src="https://silytics.si/embed/item/2bb40456-966e-4178-9119-9c6c34fc8eae" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.