metadata
language:
- en
license: mit
pretty_name: Pilot–Vehicle Loop Coherence State Estimation v0.1
dataset_name: aviation-pilot-vehicle-loop-coherence-state-estimation-v0.1
tags:
- clarusc64
- aviation
- flight-safety
- human-machine
- control-loop
task_categories:
- tabular-regression
- tabular-classification
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: data/train.csv
- split: test
path: data/test.csv
What this dataset tests
Whether a system can estimate the coherence
of the pilot–aircraft control loop
during abnormal phases.
Key insight
Loss of control begins
with loop misalignment
before any hard limits are exceeded.
Required outputs
- loop_coherence_index
- resonance_stability_band
- control_lag_profile
- correction_efficiency_score
- baseline_deviation
Use case
Layer one of Pilot–Vehicle Loop Coherence Under Stress.
Feeds attribution and adaptive intervention systems.