Datasets:

spiderpilot89
/

marine-dead-reckoning-failure-envelope

drift_rate_ms float64 0 0.02	mission_duration_hr float64 2 48	turbulence_std float64 0.01 0.46	pressure_noise_std float64 100 1.6k	final_error_m float64 0.05 708	lost_nav_lock bool 2 classes
0.001	2	0.01	100	1.50213	false
0.001	2	0.01	200	1.732371	false
0.001	2	0.01	400	1.224485	false
0.001	2	0.01	800	1.254813	false
0.001	2	0.01	1,600	0.434706	false
0.001	2	0.06	100	9.778301	false
0.001	2	0.06	200	2.334128	false
0.001	2	0.06	400	2.316535	false
0.001	2	0.06	800	8.026766	false
0.001	2	0.06	1,600	1.128305	false
0.001	2	0.11	100	10.750667	false
0.001	2	0.11	200	15.539227	false
0.001	2	0.11	400	8.688043	false
0.001	2	0.11	800	6.635812	false
0.001	2	0.11	1,600	12.596687	false
0.001	2	0.16	100	7.023063	false
0.001	2	0.16	200	17.402617	false
0.001	2	0.16	400	1.997985	false
0.001	2	0.16	800	4.995647	false
0.001	2	0.16	1,600	30.473437	false
0.001	2	0.21	100	3.049636	false
0.001	2	0.21	200	8.529751	false
0.001	2	0.21	400	15.009595	false
0.001	2	0.21	800	21.71006	false
0.001	2	0.21	1,600	38.781622	false
0.001	2	0.26	100	7.992595	false
0.001	2	0.26	200	43.495747	false
0.001	2	0.26	400	30.463678	false
0.001	2	0.26	800	22.552126	false
0.001	2	0.26	1,600	63.255901	false
0.001	2	0.31	100	18.270656	false
0.001	2	0.31	200	40.054651	false
0.001	2	0.31	400	5.614185	false
0.001	2	0.31	800	48.088072	false
0.001	2	0.31	1,600	30.519947	false
0.001	2	0.36	100	68.552694	false
0.001	2	0.36	200	16.584608	false
0.001	2	0.36	400	30.897197	false
0.001	2	0.36	800	30.930829	false
0.001	2	0.36	1,600	10.056403	false
0.001	2	0.41	100	7.128248	false
0.001	2	0.41	200	25.876797	false
0.001	2	0.41	400	46.866299	false
0.001	2	0.41	800	15.879352	false
0.001	2	0.41	1,600	63.047861	false
0.001	2	0.46	100	62.783657	false
0.001	2	0.46	200	48.739662	false
0.001	2	0.46	400	177.867341	false
0.001	2	0.46	800	13.814967	false
0.001	2	0.46	1,600	84.497127	false
0.001	4	0.01	100	2.879224	false
0.001	4	0.01	200	4.170409	false
0.001	4	0.01	400	1.786814	false
0.001	4	0.01	800	2.253855	false
0.001	4	0.01	1,600	2.501427	false
0.001	4	0.06	100	10.663103	false
0.001	4	0.06	200	5.014657	false
0.001	4	0.06	400	18.136536	false
0.001	4	0.06	800	17.374137	false
0.001	4	0.06	1,600	12.42039	false
0.001	4	0.11	100	8.219081	false
0.001	4	0.11	200	15.469856	false
0.001	4	0.11	400	4.615339	false
0.001	4	0.11	800	13.466324	false
0.001	4	0.11	1,600	19.139383	false
0.001	4	0.16	100	10.757969	false
0.001	4	0.16	200	24.963343	false
0.001	4	0.16	400	45.398725	false
0.001	4	0.16	800	38.722808	false
0.001	4	0.16	1,600	26.30445	false
0.001	4	0.21	100	7.231493	false
0.001	4	0.21	200	31.797641	false
0.001	4	0.21	400	48.854819	false
0.001	4	0.21	800	47.124152	false
0.001	4	0.21	1,600	25.082735	false
0.001	4	0.26	100	32.665167	false
0.001	4	0.26	200	22.067399	false
0.001	4	0.26	400	23.862981	false
0.001	4	0.26	800	9.60943	false
0.001	4	0.26	1,600	39.478242	false
0.001	4	0.31	100	15.500699	false
0.001	4	0.31	200	60.279565	false
0.001	4	0.31	400	24.393269	false
0.001	4	0.31	800	80.345359	false
0.001	4	0.31	1,600	44.870018	false
0.001	4	0.36	100	77.00957	false
0.001	4	0.36	200	44.160921	false
0.001	4	0.36	400	61.458152	false
0.001	4	0.36	800	125.999221	false
0.001	4	0.36	1,600	21.878143	false
0.001	4	0.41	100	49.322647	false
0.001	4	0.41	200	40.503126	false
0.001	4	0.41	400	32.633256	false
0.001	4	0.41	800	30.158527	false
0.001	4	0.41	1,600	51.630704	false
0.001	4	0.46	100	50.644816	false
0.001	4	0.46	200	82.038022	false
0.001	4	0.46	400	19.606699	false
0.001	4	0.46	800	29.310964	false
0.001	4	0.46	1,600	59.622187	false

End of preview. Expand in Data Studio

Zero-Trust Physics: Marine Dead-Reckoning Failure Envelope (G^G)

24,000 UUV dead-reckoning navigation runs mapping the exact boundary where navigation fails past the 500m target acquisition threshold.

This is a decision boundary dataset — each row is a run summary, not a timestep. It answers: at what combination of DVL drift rate, mission duration, turbulence, and pressure sensor noise does autonomous underwater navigation fail?

Headline: 26 of 24,000 profiles (0.1%) exceeded the 500m boundary. The failure envelope is tight and well-defined.

Master sweep hash: ac25bcb16353877f618709387028e23bc374c7516fc8c95b50d4048fb3bc6653

Parameter Space

Parameter	Range	Description
`drift_rate_ms`	variable	DVL drift rate (m/s)
`mission_duration_hr`	up to 48h	Mission duration
`turbulence_std`	variable	Ocean current turbulence standard deviation
`pressure_noise_std`	variable	Depth sensor noise (Pa)

Schema

Column	Description
`drift_rate_ms`	DVL sensor drift rate (m/s)
`mission_duration_hr`	Mission duration (hours)
`turbulence_std`	Tidal turbulence standard deviation
`pressure_noise_std`	Hydrostatic pressure sensor noise
`final_error_m`	Final navigation error at mission end (m)
`lost_nav_lock`	Whether error exceeded 500m acquisition threshold

Loading

from datasets import load_dataset
df = load_dataset("spiderpilot89/marine-dead-reckoning-failure-envelope", split="train").to_pandas()

# Find the failure boundary
failures = df[df["lost_nav_lock"] == True]
print(f"Failure rate: {len(failures)/len(df)*100:.2f}%")
print(failures[["drift_rate_ms", "mission_duration_hr", "turbulence_std"]].describe())

John Kruze · kruze@zerotrustphysics.com

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