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.