Indoor AR Mall Navigation

# Senior Android AR Indoor Navigation Developer (CameraX + Sensor Fusion + AR) We are building an advanced Android AR Indoor Navigation App for malls and large indoor spaces. The app combines: * AR navigation * Indoor localization * Landmark/logo detection * Sensor fusion * Real-time navigation * Dead reckoning * Graph-based routing ## Project Overview The application uses the smartphone camera to detect indoor landmarks/logos and estimate the user's position inside a mall using computer vision and graph-constrained localization. The system then provides: * AR navigation overlays * Indoor map navigation * Real-time rerouting * Continuous tracking ## Core Features ### Localization Pipeline * CameraX live camera preview * Multi-landmark/logo detection * Embeddings database matching * Similarity scoring * Image-space coordinate extraction * Graph-constrained PnP solver * Confidence scoring & validation ### Navigation System * A* pathfinding * Waypoint generation * Shared navigation session state * Real-time rerouting * Drift correction * Corridor/path constraints ### Sensor Fusion Using: * Accelerometer * Gyroscope * Compass * Step detector Includes: * Dead reckoning * Continuous indoor tracking * Relocalization logic ### AR Navigation * AR arrows * Waypoint indicators * Turn guidance * Coordinate transformation * Projection engine * Screen-space overlay rendering ## Required Skills Must have experience with: * Android native development (Kotlin) * CameraX * OpenCV * ARCore * Sensor fusion * Real-time tracking systems * Indoor navigation * Computer vision * Graph/pathfinding algorithms * SQLite / local databases * Performance optimization Preferred: * Experience with SLAM * PnP pose estimation * ML model integration * TensorFlow Lite / ONNX * Navigation engines * 3D math & coordinate systems ## Deliverables * Full Android source code * Clean architecture * Modular codebase * Documentation * Localization pipeline * AR navigation system * Indoor map system * Error handling & recovery system * Production-ready UI implementation ## App Flow 1. Detect indoor landmarks using camera 2. Estimate user position 3. Validate confidence 4. User selects destination 5. Generate shortest route 6. Start AR navigation 7. Real-time indoor tracking 8. Drift monitoring & relocalization 9. Navigation completion ## Important This is NOT a simple map app. The project requires strong understanding of: * Computer vision * Real-time positioning * AR rendering * Sensor fusion * Indoor navigation systems Please share: * Relevant portfolio/projects * GitHub * AR/computer vision experience * Estimated timeline * Technology recommendations * Similar apps you worked on Long-term collaboration possible for future updates.