# Input Data Parameters

Describes the **categories of input data** the system consumes at runtime, and the **categories of reference data** tests need. Internal component names, programming languages, IPC mechanisms, schema class names, and specific model choices are design and live in `_docs/02_document/architecture.md` — they do not belong in this file (per `.cursor/rules/artifact-srp.mdc`).

Local fixtures live in `fixtures/`; see `fixtures/README.md` for the manifest. External-service test-mock requirements live in `services.md`; the per-row binding to AC criteria lives in `expected_results/results_report.md`.

## Runtime inputs (what the system consumes when flying)

| Input | Source | Format | Cadence | Notes |
|---|---|---|---|---|
| Camera frames | ViewPro A40 (or alternative ViewPro Z40K) | H.264 / H.265 over RTSP, 1080p (1920×1080) | 30 / 60 fps | Frame timestamps are mandatory. |
| Primitive (Tier 1) detection responses | `../detections` service over a bi-directional streaming RPC contract | Bounding boxes with class id, confidence, normalised coordinates | Per frame | Same boxes feed Tier-2 ROI selection and the operator overlay. |
| UAV telemetry | Airframe via MAVLink v2 (UDP or serial) | MAVLink messages: position, attitude, velocity, battery, link health, GPS fix | ≥1 Hz (10 Hz target) | Source-of-truth for ego-motion compensation. |
| Gimbal feedback | ViewPro A40 vendor protocol over UDP | Yaw / pitch / zoom angle telemetry | per-tick | Source-of-truth for camera-pose compensation. |
| Mission JSON | `missions` service via HTTPS REST | Shared `mission-schema` JSON | Once at mission start + middle-waypoint updates | Validated against the shared schema. |
| Area-level map state | `missions` service extension `/missions/{id}/mapobjects` (GET) | Map-object records keyed by spatial cell | Once at mission start | Hydrates the system's local copy of the area map; cache-fallback on timeout. |
| Operator commands | Ground Station via modem (return path of the outbound telemetry stream) | Authenticated + signed + replay-protected command envelope (scheme open per Q9) | Event-driven | confirm / decline / target-follow start / target-follow release / abort. |
| Deep-analysis responses (optional) | Local-onboard model accessed via local IPC | Structured assessment schema (validated) | Per zoomed-in endpoint hold (when deep-analysis is enabled) | Schema-violation fails closed. |

## Class catalogue (Tier-1 + Tier-2)

Detection-quality acceptance criteria (`acceptance_criteria.md → Detection Quality`) are evaluated against a class catalogue that combines pre-existing suite-level classes with new autopilot-driven additions. Class IDs are governed at the suite level (`../detections` owns the catalogue); autopilot only consumes the IDs.

### New Tier-1 (YOLO primitive) classes — to be added to the suite catalogue

| # | Class name | Annotation hint | Motivated by |
|---|---|---|---|
| 1 | Black entrances | Bounding box; various sizes (small hideout openings to dugout entrances) | Concealed-position detection (D3, D4) |
| 2 | Branch piles | Bounding box | Concealment material around hideouts (D3, D4) |
| 3 | Footpaths | **Polyline / segmentation preferred over bbox** for linear features | Footpath recall gate (D5) |
| 4 | Roads | Polyline / segmentation | Distinguishing roads from footpaths in the same scene |
| 5 | Trees / tree blocks | Bounding box; tree-block annotation may use larger box for clusters | Concealment-context anchor; reduces false positives around tree-rows in movement detection (M1) |

### Tier-2 semantic attributes — composed by `semantic_analyzer`, NOT added to YOLO catalogue

| # | Attribute | Composed from | Used by |
|---|---|---|---|
| 1 | Footpath freshness (fresh / stale) | Footpath bbox + texture/edge analysis + seasonal context | Decision-window scoring, D5 partial coverage |
| 2 | Concealed-structure inference | Black-entrance + branch-piles + footpath-approach proximity | POI surfacing for D3/D4 (the structure itself is composed, not directly labelled) |
| 3 | Open clearing connected to path | Cleared-terrain texture + footpath endpoint | FPV-launch-point flagging |

### Existing classes (already in the suite catalogue)

The existing-class baseline (P=0.816, R=0.852 per the AC) covers the suite's pre-autopilot class set (vehicles, military equipment, etc.). Autopilot must not degrade these — see D2.

### Reference for IDs

The 19-id catalogue (0..18) is owned by `../detections`. Autopilot's normalised-box output uses the same IDs. When `../detections` ships a new model or renumbers IDs, the `expected_detections.json` baseline goes stale and D1, D2, D6 rows must be re-recorded.

## Reference data needed for testing

### Local fixtures already on disk

See `fixtures/README.md` for the SHA-pinned manifest. Categorised summary:

| Local fixture category | Files | Purpose | Bound to AC rows |
|---|---|---|---|
| `fixtures/images/*.jpg` | 5 aerial frames | Tier-1 detection contract; existing-class regression; normalised-box conformance | L1, D2, D6 |
| `fixtures/videos/94d42580bd1ad6ff.mp4` | 1 reconnaissance clip | Frame-rate floor scenario, reserved for future movement-sequence tests | T3 |
| `fixtures/schemas/expected_detections.{json,schema.json}` | 2 schema files | Detection-result contract shape reference | D6 |
| `fixtures/sql/init.sql` | 1 SQL file | Suite-e2e DB seed reference | (suite-only; no autopilot AC) |
| `fixtures/movement/video0[1-4].mp4` | 4 wide-area clips | Visual reference for movement-detection scenarios — **no paired telemetry CSVs**, ego-motion assertions unfalsifiable until those land | M1–M4 (visual reference only) |
| `fixtures/semantic/semantic0[1-4].png` | 4 reference frames | Visual reference for concealed-position semantic targets — **starter set only, not a graded eval set** | D3, D4, D5 (starter only) |

### Reference shapes still needed but not yet on disk

The per-service mock catalogue is in `services.md` (authoritative). Summary of categories tests need:

| Reference shape | Why it's needed | See |
|---|---|---|
| Frame sequences with synchronised `gimbal.csv` + `telemetry.csv` | Ego-motion compensation at zoom-out AND zoomed-in inspection | `services.md §6 Gimbal telemetry CSV` |
| Concealed-position image set across all four seasons (annotated) | Concealed-position recall ≥60% and precision ≥20% | `services.md §5 Camera frame sequences` |
| Footpath sequences (fresh, stale, all four seasons, polyline-annotated) | Footpath recall ≥70% | `services.md §5` |
| New-class evaluation set (5 new classes above) | New-class per-class P/R ≥80% without degrading existing-class performance | `services.md §1 Tier-1 detection replay` (plus annotation campaign owned by `../ai-training` repo) |
| Mock Tier-1 streaming-RPC replays | Detection-consumer isolation tests | `services.md §1` |
| Mock Ground Station session traces | Lost-link failsafe ladder + operator-link reconnect | `services.md §3` |
| MAVLink SITL traces | MAVLink conformance + waypoint insertion + geofence enforcement | `services.md §4` |
| Mock central area-map service responses | Pre-flight pull / post-flight push round-trip; conflict cases (Q8) | `services.md §2` |
| Operator-command envelopes | Signature + replay-protection tests (once Q9 resolves) | `services.md §8` |
| VLM I/O pairs | Bounded ROI inputs + structured assessment outputs + schema-violation cases | `services.md §7` |
| GPS / NTP drift scenarios | Wall-clock drift health-yellow gate | `services.md §9` |

## Data volume targets

- Training data: hundreds to thousands of annotated images/sequences total.
- Seasonal coverage: winter (snow), spring (mud), summer (vegetation), autumn (mixed leaf + partial snow).
- Available assembly effort: 1.5 months at 5 hours/day.
- Movement detection requires **frame sequences** (not still images only) with synchronised camera + gimbal + UAV telemetry.
- Footpaths require polyline or segmentation annotation rather than bounding boxes (see "Class catalogue" above).

## Gaps that block `/test-spec` downstream

`/test-spec` Phase 1 will pass on prerequisite existence (`expected_results/results_report.md` is non-empty). Phase 3 has a **hard 75% coverage gate** on rows with real input fixtures + real expected results.

**Current coverage state** (re-computed 2026-05-19 after fixture restoration):

- Rows bound to real local fixtures: L1, D2, D6, T3 (~4 rows) — these are also the rows whose fixtures were restored on 2026-05-19 from sibling repos.
- Rows bound to **starter-only** fixtures (insufficient on their own): D3, D4, D5 (semantic PNGs), M1–M4 (movement videos without CSV).
- Rows still deferred for fixture acquisition: see `fixtures/README.md → "Gaps still pending fixture acquisition"` and `services.md` for the authoritative list.

**Project policy on the Phase 3 gate**: rather than block `/test-spec` at the 75% gate, the autodev flow registers each deferred row with a structured `<DEFERRED: needs <shape>; blocks AC <id>>` tag in `expected_results/results_report.md`. Test-spec authoring proceeds; deferred rows become release-gate items, not development-gate items. The acceptance_criteria.md project-level gate ("MUST pass before product implementation begins") still applies for the hardware/replay benchmark — that remains a hard release blocker, not deferred.
