[AZ-626] Decompose complete: 47 tasks + docs + module layout

Greenfield Steps 1-6 baseline for the autopilot rewrite from legacy
Qt/C++ to a Rust workspace.

- Remove legacy Qt/C++ tree (ai_controller, drone_controller,
  misc/camera, python_scaffold, root Dockerfile, autopilot.pro,
  legacy main.py / requirements.txt).
- Add _docs/00_problem (problem, restrictions, acceptance criteria,
  security approach, input data + fixtures).
- Add _docs/01_solution/solution_draft01.
- Add _docs/02_document (architecture, system-flows, data_model,
  glossary, decision-rationale, deployment, 13 component descriptions,
  tests/ specs, FINAL_report, module-layout).
- Add _docs/02_tasks/todo with 47 task specs (AZ-640..AZ-686, one
  bootstrap + 46 component tasks) and _dependencies_table.md.
- Add .cursor/rules/artifact-srp.mdc (single-responsibility rule for
  canonical _docs artifacts).
- Track autodev state in _docs/_autodev_state.md (Step 6 completed,
  ready for Step 7 Implement).

Jira: bootstrap AZ-626; component epics AZ-627..AZ-639; tasks
AZ-640..AZ-686. Total complexity 173 points across 12 epics.

Co-authored-by: Cursor <cursoragent@cursor.com>

_docs/00_problem/input_data/fixtures/semantic/data_parameters.md

@@ -0,0 +1,45 @@
+# Semantic And Movement Detection Training Data
+
+# Source
+- Aerial imagery from reconnaissance winged UAVs at 600–1000m altitude
+- ViewPro A40 camera, 1080p resolution, various zoom levels
+- Extracted from video frames and still images
+- Movement detection requires frame sequences, not still images only; include camera/gimbal telemetry where available to separate target motion from UAV motion.
+
+# Target Classes
+- Footpaths / trails (linear features on snow, mud, forest floor)
+- Fresh footpaths (distinct edges, undisturbed surroundings, recent track marks)
+- Stale footpaths (partially covered by snow/vegetation, faded edges)
+- Concealed structures: branch pile hideouts, dugout entrances, squared/circular openings
+- Tree rows (potential concealment lines)
+- Open clearings connected to paths (FPV launch points)
+- Moving point/cluster candidates at wide or light/medium zoom
+
+# YOLO Primitive Classes (new)
+- Black entrances to hideouts (various sizes)
+- Piles of tree branches
+- Footpaths
+- Roads
+- Trees, tree blocks
+
+# Annotation Format
+- Managed by existing annotation tooling in separate repository
+- Expected: bounding boxes and/or segmentation masks depending on model architecture
+- Footpaths may require polyline or segmentation annotation rather than bounding boxes
+
+# Seasonal Coverage Required
+- Winter: snow-covered terrain (footpaths as dark lines on white)
+- Spring: mud season (footpaths as compressed/disturbed soil)
+- Summer: full vegetation (paths through grass/undergrowth)
+- Autumn: mixed leaf cover, partial snow
+
+# Volume
+- Target: hundreds to thousands of annotated images/sequences
+- Available effort: 1.5 months, 5 hours/day
+- Potential for annotation process automation
+
+# Reference Examples
+- semantic01.png — footpath leading to branch-pile hideout in winter forest
+- semantic02.png — footpath to FPV launch clearing, branch mass at forest edge
+- semantic03.png — footpath to squared hideout structure
+- semantic04.png — footpath terminating at tree-branch concealment