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# Autopilot State
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## Current Step
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step: 3
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name: Decompose
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status: in_progress
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sub_step: 1 — Bootstrap Structure Plan
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## Completed Steps
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| Step | SubStep | Name | Completed | Key Outcome |
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| ---- | ------- | -------------------- | ---------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
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| 0 | 4/4 | Problem | 2026-03-19 | Semantic detection for camouflaged positions via two-level scan, 3 submodules |
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| 1 | 4/4 | Research (Mode A) | 2026-03-19 | Draft01: three-tier architecture (YOLOE-26 + CNN + VLM) |
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| 1 | 8/8 | Research (Mode B R1) | 2026-03-19 | Draft02: 11 weak points addressed — thermal, robustness, degradation, VLM availability hedge |
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| 1 | 8/8 | Research (Mode B R2) | 2026-03-19 | Draft03: 11 more weak points — vLLM replaced with NanoLLM, dual backbone, NVMe mandatory, CRC UART, recording/logging, power management |
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| 2 | 6/6 | Plan | 2026-03-20 | 6 components + 2 helpers, 93 tests across 6 specs, 8 epics (42-68 pts), 96% AC coverage, FINAL_report.md complete |
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## Key Decisions
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- Three-tier architecture with graceful degradation
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- YOLOE backbone configurable: benchmark YOLO11 vs YOLO26 before committing
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- FP16 TRT only for initial deployment (INT8 unstable on Jetson)
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- NanoLLM replaces vLLM as VLM runtime (vLLM unstable on Jetson)
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- VILA1.5-3B primary VLM via NanoLLM; UAV-VL-R1 via llama.cpp if GGUF available
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- NVMe SSD mandatory (SD card corruption documented)
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- UART integrity: check ViewLink spec first for native checksum, then add CRC-16 if needed
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- Detection logger + frame recorder for post-flight review and training data
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- Power monitoring via INA sensors + load shedding
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- Ruggedized carrier board (MILBOX-ORNX or similar)
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- V1 path tracing: minimal heuristic, no CNN (ship fast, validate)
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- **V2 CNN removed from plan** — heuristic + VLM sufficient; CNN adds unnecessary complexity
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- Version pinning: Ultralytics, JetPack, NanoLLM
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- E2E test coverage of 76% accepted
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- Data model simplified: no traditional DB, only runtime structs + persistent flat files (NVMe)
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- Architecture simplified: 5 system flows, inline health checks, capability flags, 2 environments
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- ScanController: Behavior Tree (py_trees 2.4.0) — ADR-008
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- **Dynamic Search Scenarios** — data-driven YAML configs with 4 investigation types (path_follow, cluster_follow, area_sweep, zoom_classify)
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- **GIL is not a concern** — all compute-heavy ops release GIL; VLM in separate process; single-threaded by design
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- **Tier2PathTracer generalized to Tier2SpatialAnalyzer** — supports mask tracing (footpaths) and cluster tracing (AA networks, vehicle groups) via unified SpatialAnalysisResult/Waypoint output
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- Jira epics created: AZ-130 (Bootstrap), AZ-131 (Tier1), AZ-132 (Tier2), AZ-133 (VLM), AZ-134 (Gimbal), AZ-135 (Output), AZ-136 (ScanController), AZ-137 (Integration Tests)
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## Last Session
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date: 2026-03-20
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ended_at: Step 2 Plan — SubStep 6/6 complete
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reason: Plan step completed, auto-chaining to Step 3 Decompose
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notes: Steps 5 (Test Specifications) and 6 (Jira Epics) completed. 93 tests written across 6 component test specs (50 integration, 14 performance, 9 security, 20 acceptance). 8 epics documented in epics.md (Jira MCP auth skipped). FINAL_report.md written. 96% AC coverage (27/28 — AC-28 training dataset is data annotation scope, not runtime).
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## Blockers
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- R05 (Critical): Seasonal generalization — mitigated by phased rollout (winter first)
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