Capability
Multi-Sensor Fusion
Fuse information. Preserve provenance.
Evidence levelE1Architecture Defined
The functional gap
Merging data is easy. Merging it so that the origin of every part survives is the hard part, and without it nobody can tell what a combined result rests on.
From inputs to outputs
Takes in
- Candidate relationships from correlation
- Observations with their sources
- The confidence each source supports
Does
Combines related observations into one estimate and keeps a link from the estimate back to each contribution.
Hands on
- One estimate per object
- Per-source contribution that can be inspected
- Observations that stayed unfused, with the reason
A worked example
Three steps from a synthetic scenario, in relative terms.
| Step | What is seen | What is stated |
|---|---|---|
| 1 | Three related observations arrive | They enter one estimate |
| 2 | One source contributes more than the others | The share is shown, not hidden |
| 3 | A fourth observation does not fit | It stays outside and is listed |
- Source A
- Source B
- Source C
| Time (relative) | Source A | Source B | Source C |
|---|---|---|---|
| 1 | 10 | 6 | 0 |
| 2 | 12 | 8 | 0 |
| 3 | 13 | 10 | 2 |
| 4 | 12 | 12 | 4 |
| 5 | 11 | 13 | 7 |
| 6 | 10 | 13 | 10 |
| 7 | 9 | 14 | 13 |
| 8 | 10 | 13 | 16 |
Confidence and uncertainty in this function
The estimate is only as certain as the contributions behind it, and the page shows which contribution carries how much.
Evidence and maturity
This page claims nothing above the level of the projects it rests on.
- Airspace Intelligence Core PlatformEvidence level: E1 · Architecture Defined
- Multi-Sensor Fusion EngineEvidence level: E0 · Concept
What this does not claim
- Fusion states a relationship between observations; it does not identify the object.
- The page describes how contributions are kept, not how accurate the estimate is.
- An observation left out of the estimate stays visible instead of being dropped silently.