State estimation declares sensor fusion inputs and estimate types for mission assurance.
state_estimator RoverState {
inputs [gps.fix, imu.data, wheel_odometry];
output StateEstimate;
}
| Type | Role |
|---|---|
StateEstimate |
Named estimate with confidence and source attribution |
BeliefState |
Aggregated estimates from all estimators |
SensorFusionState |
Per-estimator fusion snapshot |
spanda state estimate <file.sd> runs static analysis:
Results are also included in spanda assure JSON under state.
At robot setup, each state_estimator registers a SensorFusion binding. A single estimator
aliases fusion (same as observe { }). fusion.read() / {Name}.read() perform weighted
fusion by sensor type (GPS, Lidar, IMU, …), include sources and estimator fields, and populate
state_estimate.confidence.
Optional spanda-fusion package (import assurance.fusion;) exposes the same weight table via
weight_for_sensor and confidence_for_types for custom tooling.
See examples/assurance/rover_assurance.sd.