Welcome to our official thread for Indoor-Positioning-And-Navigation-Algorithms—a powerhouse repository that forms the heart of our indoor navigation stack.
This repo contains the building blocks behind Navigine’s high-precision location technology. Whether you’re a seasoned developer, curious researcher, or just exploring RTLS solutions, this is your go-to codebase.
What’s Inside
- src – Our core positioning algorithms
- standalone_algorithms – Ready-to-use components for standalone navigation tasks
- tools – Utilities for map and settings extraction
- tests – Evaluation suites for source code quality
How to Get Started
Here’s a simplified example of how you’ll interact with the SDK:
- Set up key navigation elements: GeoLevel, LevelCollector, NavigationSettings, and NavigationClient
- Add transmitters from your location: Beacon, Eddystone, Wi-Fi, Wi-Fi RTT
- Define barriers and map geometry for accurate routing
- Build your client using CMake:
cmake -H. -Bbuild cmake --build build cd build/ ./navigation_test location.geojson log.json settings.json
Measuring Navigation Accuracy
The repo includes tools for evaluating navigation performance. Key metrics:
| Error Metric | Description |
|---|---|
| nav_err | Average error in meters |
| q_75_err | 75% quantile error |
| avr_fi | Average angle error in degrees |
| level_err | Incorrect level percentage |
| exec_time | Algorithm execution time |
Dive Deeper into Algorithms
Learn from our tutorials and algorithm explainers:
- WIFI-RTT Demo
- Pedometer Algorithm
- Complementary Filter
- Particle Filter
Let’s Collaborate!
Have questions? Feedback? Ideas to improve this repo? Drop them below or open a thread in SDK & Open Source. We’re here to build together.
Feel free to:
Star the repo
Fork it
Submit issues or improvements
Share how you’re using it in your projects
Looking forward to your contributions and conversations!
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