A provider-neutral PoseProvider contract would give DVSA the greatest architectural benefit. The request could carry sensor assets, rig and calibration identifiers, synchronization metadata, navigation priors, requested processing mode, and optional dynamic masks; the response could carry a timestamped SE(3) trajectory, covariance or quality fields, landmark and loop-closure metadata, calibration corrections, diagnostics, and artifact references. A separate GeoRegistrationProvider could align that trajectory to ENU, NED, ECEF, or a site frame, and a GroundingService could combine poses with detections, depth, tracks, zones, and maps. This separation would make GroundedSLAM one implementation of geometric estimation rather than a new organizing principle for every DVSA subsystem.
RoboCap’s transferable lesson is that commodity vision becomes metrically useful only when the surrounding acquisition and estimation contracts are treated as measurement infrastructure. Multiple inexpensive cameras do not by themselves produce grounded video; synchronization, per-device calibration, exposure behavior, inertial characterization, observable baseline, session-level correction, loop closure, and offline refinement determine whether pixels can be assigned defensible positions over time. For drone fleet delivery and AirData-adjacent workflows, the highest-value customization is consequently not the cap’s hand-tracking model or near-field stereo geometry, but a drone-calibrated visual-inertial pose service whose outputs are fused with aircraft telemetry, georeferenced with explicit uncertainty, linked to DVSA’s semantic events, and summarized into fleet and flight records without entering the safety-critical control path.
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