Sources
Document GNSS, inertial, visual, acoustic, depth, chart and traffic inputs.
System anatomy · 06
Design for GNSS loss or spoofing, acoustic uncertainty, turbidity, multipath, drift and conflicting observations.
FUURAA thesis
Engineering map
Each layer states the boundary to establish and the evidence needed for the next decision.
Document GNSS, inertial, visual, acoustic, depth, chart and traffic inputs.
Set uncertainty, consistency and timeliness thresholds for each mission phase.
Define hold, slow, reroute, surface, return or abort when integrity falls.
Verification questions
Each question needs an object, conditions, denominator, threshold and accountable decision owner.
How is corrupted navigation detected?
Which sensors share a common failure?
Can the vehicle bound its own uncertainty?
What happens before a geofence is crossed?
Evidence to preserve
A conclusion alone loses reviewability; raw records, configuration and exclusions matter too.
Navigation dependency and threat model
Injected-fault and disagreement results
Integrity alert and response trace
Scope boundary
Nominal waypoint accuracy cannot establish integrity under corrupted, unavailable or conflicting signals.
This is an engineering reading and decision framework; it does not replace application-specific risk assessment, conformity work, procurement acceptance or professional advice.
Sources and evidence status
Source dates and review status remain visible; external sources open in a new tab.
Specifies requirements for safe commercial UAS operations, including external safety-critical command-and-control services.
Separates remote piloting from several autonomy levels and links supervision to traffic, hazards, weather, sensors, communications and recovery.
Describes untethered AUVs executing planned missions, storing payload data, surfacing for communications and requiring later recovery and processing.