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FusionFly: GNSS and IMU Data Processing System

Welcome to the FusionFly wiki! This documentation provides comprehensive information about the FusionFly system architecture, implementation details, configuration, and troubleshooting.

Wiki Contents

• System Overview
• Architecture
• Data Flow
• AI Integration
• Azure Services Integration
• Conversion Prompts
• Configuration Guide
• Troubleshooting

Quick Start

To start the system:

1. Configure environment variables (see Configuration Guide)
2. Start the backend server:

   cd backend
   npm run build
   PORT=8001 node server.js
   

3. Start the frontend:

   cd frontend
   npm start
   

System Status

Current implementation status:

• ✅ Frontend UI (90% complete)
• ✅ Backend API (85% complete)
• ✅ Data Processing (75% complete)
• ✅ AI-Assisted Parsing (80% complete)
• ✅ Schema Conversion (100% complete)
  • ✅ Submodule 1: Direct Schema Conversion (100% complete)
  • ✅ Submodule 2: Transformation Script Generation (100% complete)
• ⚠️ User Authentication (70% complete)
• ❌ GNSS+IMU Fusion with FGO (0% complete)
• ❌ Visualization (0% complete)
• ⚠️ Batch Processing (5% complete)

Recent Updates

• Third LLM Two-Submodule Implementation: The schema conversion process now uses a fully implemented two-submodule approach:

  1. Submodule 1 performs direct schema conversion on a small sample
  2. Submodule 2 uses this sample to generate a transformation script for the entire dataset

• Enhanced Validation: Added comprehensive validation for all conversion stages

• Improved Error Handling: Implemented detailed error feedback loops for the AI-assisted conversion pipeline

See AI Integration for more details on the implementation.