Project Schedule

Development Phases

Phase Focus Subsystems
1a Virtual Environment + Communication UE5, Simulink
1b Jetson Setup + NN Training Edge Device, GCS
2 LiDAR Vector Training + Procurement Full System
3 Dynamic Spoofing Simulations Full System
4 Physical System Testing UAV Platform
Final Presentation & Reporting Full System

Phase 1A – Virtual System Foundation (Jan 20 – Feb 2)

  • UE5 LiDAR generation
  • TCP communication to Simulink
  • Data schema + CRC validation
  • GitHub Pages site launch

Milestone: End-to-end UE5 → Simulink → Jetson pipeline operational

Phase 1B – Edge AI Bring-Up (Feb 3 – Feb 13)

  • Jetson setup and inference engine
  • HAL protocol stub
  • Baseline NN model

Milestone: Real-time inference at ≥20 Hz

Phase 2 – Dataset & Procurement (Feb 14 – Mar 1)

  • Spoof dataset generation
  • Livox sensor configuration
  • Training pipeline

Milestone: Labeled spoof/real LiDAR dataset complete

Phase 3 – Dynamic Spoofing (Mar 2 – Mar 20)

  • Selective spoofing
  • Adaptive attack simulation
  • NN accuracy testing

Milestone: ≥90% detection accuracy

Phase 4 – HIL Validation (Mar 21 – Apr 10)

  • Simulated UAV flight in UE5
  • Telemetry and failover testing
  • Verification documentation

Milestone: Stable inference under motion and fault conditions

Final – Expo & Handoff (Apr 11 – Apr 23)

  • Poster and presentation
  • Sponsor handoff
  • Final system archive

UAV Sensor Spoofing Detection Project | Virginia Tech | Sponsored Research

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