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Yuzviak
094895b21b
Phase 2 — Visual Odometry: - ORBVisualOdometry (dev/CI), CuVSLAMVisualOdometry (Jetson) - TRTInferenceEngine (TensorRT FP16, conditional import) - create_vo_backend() factory Phase 3 — Satellite Matching + GPR: - SatelliteDataManager: local z/x/y tiles, ESKF ±3σ tile selection - GSD normalization (SAT-03), RANSAC inlier-ratio confidence (SAT-04) - GlobalPlaceRecognition: Faiss index + numpy fallback Phase 4 — MAVLink I/O: - MAVLinkBridge: GPS_INPUT 15+ fields, IMU callback, 1Hz telemetry - 3-consecutive-failure reloc request - MockMAVConnection for CI Phase 5 — Pipeline Wiring: - ESKF wired into process_frame: VO update → satellite update - CoordinateTransformer + SatelliteDataManager via DI - MAVLink state push per frame (PIPE-07) - Real pixel_to_gps via ray-ground projection (PIPE-06) - GTSAM ISAM2 update when available (PIPE-03) Phase 6 — Docker + CI: - Multi-stage Dockerfile (python:3.11-slim) - docker-compose.yml (dev), docker-compose.sitl.yml (ArduPilot SITL) - GitHub Actions: ci.yml (lint+pytest+docker smoke), sitl.yml (nightly) - tests/test_sitl_integration.py (8 tests, skip without SITL) Phase 7 — Accuracy Validation: - AccuracyBenchmark + SyntheticTrajectory - AC-PERF-1: 80% within 50m ✅ - AC-PERF-2: 60% within 20m ✅ - AC-PERF-3: p95 latency < 400ms ✅ - AC-PERF-4: VO drift 1km < 100m ✅ (actual ~11m) - scripts/benchmark_accuracy.py CLI Tests: 195 passed / 8 skipped Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>