Total runs: 2000 seed x scenario pairs
5 of 5 sensors selected
Estimated total: ~2,000 tracks
Monte Carlo analysis runs multiple independent seeds per scenario and aggregates results across all runs to produce statistically stable SAFE vs BASELINE comparisons.
Each seed produces a fresh synthetic track sequence. Results are pooled across seeds to compute per-(scenario, tier) mean and standard deviation of RMS error, NEES, fusion-mode distribution, and response lag.
With 5 seeds x 20 tracks x 3 sensor types x 2 modes, each scenario cell has ~300 observations before aggregation.
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Select scenarios and seeds per scenario, then click Run Monte Carlo to generate cross-seed aggregate statistics.