The evidence is proven or strong, but this capability still needs a capability-specific ESP32 or Rust runtime adapter.
Intended capability
Evaluate the sensing evidence for “Cargo Shift Radar — Load Geometry Monitoring In Transit” in a stationary, controlled, ground-truthed vehicle study. This is not a vehicle, occupant, child, pet, or driver-safety system.
This describes the intended outcome. Readiness is needs edge adapter, evidence is class B, and a catalog mapping or recording is not proof of this outcome at a real site.
Solution blueprint
See the environment before installing it.
This exact kit is one of 191 first-class designs. It includes geometry, objects, nodes, wording, scenarios, installation, limitations, and catalog-bound readiness.
No rendered revision is available yet.
Bundled recording
A related Automotive scene
This is one recorded vertical scenario. It is not separate validation of every capability in the catalog.
01 The physics
Cargo defines the multipath skeleton of the trailer cavity: each pallet face is a reflector with a specific path delay. A 20cm pallet shift changes specific CIR tap delays by ~1.3ns and re-weights amplitudes; empty volume shows as long-delay reverberant taps. Fill fraction maps monotonically to RMS delay spread.
02 Shared processing path
CIR sparse recovery of tap delays -> per-tap compartment Kalman tracking during transit -> CUSUM on tap-delay residuals for shift events; RFF/NeRF reconstruction at depot stops for a 3D fill map.
This is a capability design path. Components may be shared with other catalog entries; it is not presented as a unique algorithm.
03 Validation plan
Own-hardware: instrumented box trailer, scripted pallet moves (10/20/50cm) and fill fractions 0-100%, regress delay-spread vs fill; road test on cobblestone route to establish vibration null model.
04 Commercial hypothesis
Real-time load-shift alarms plus automatic cube-utilization scoring per trailer — sold to LTL logistics operations VPs who currently discover shifted loads only when the doors open.