Datasetpublic

ClarusC64/autonomous-driving-multisensor-coherence-baseline-modeling-v0.1

What this dataset tests Whether a system can model the expected coherence of a sensor suite for a given driving context. The output is a baseline and tolerance band. This is the reference for later decoherence detection. Required outputs baseline_coherence_score expected_sensor_alignment cross_modal_correlation stability_band drift_tolerance baseline_confidence Scoring conventions all scores range 0 to 1 stability band is a low-high interval drift tolerance encodes how much… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-multisensor-coherence-baseline-modeling-v0.1.

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Dataset Card

What this dataset tests

Whether a system can model the expected coherence of a sensor suite for a given driving context.

The output is a baseline and tolerance band. This is the reference for later decoherence detection.

Required outputs

—baselinecoherencescore
—expectedsensoralignment
—crossmodalcorrelation
—stability_band
—drift_tolerance
—baseline_confidence

Scoring conventions

—all scores range 0 to 1
—stability band is a low-high interval
—drift tolerance encodes how much map/sensor mismatch is normal in context

Use case

Layer one of Anomaly Detection via System-Wide Decoherence.

Supports:

—early decoherence onset detection
—sensor health monitoring
—graceful degradation triggers