gnssmetrics.com is a web application designed to provide comprehensive metrics and analysis for GNSS (Global Navigation Satellite System) testing. It accepts Excel and CSV sheets containing latitude, longitude, and altitude data from a static GNSS test and calculates various metrics using both user-provided ground truth coordinates and the mean of the provided data.
- Maximum Fix Error: Calculates the maximum distance to ground truth coordinates.
- Minimum Fix Error: Calculates the minimum distance to ground truth coordinates.
- Average Fix Error: Calculates the average distance to ground truth coordinates.
- CEP 50%: Provides 2D accuracy based on ground truth coordinates with a 50% confidence level.
- CEP 90%: Provides 2D accuracy based on ground truth coordinates with a 90% confidence level.
- CEP 98%: Provides 2D accuracy based on ground truth coordinates with a 98% confidence level.
- Mean CEP 50%: Provides 2D accuracy based on the mean of data coordinates with a 50% confidence level.
- Mean CEP 90%: Provides 2D accuracy based on the mean of data coordinates with a 90% confidence level.
- Mean CEP 98%: Provides 2D accuracy based on the mean of data coordinates with a 98% confidence level.
- SEP 50%: Provides 3D accuracy based on ground truth coordinates with a 50% confidence level.
- SEP 90%: Provides 3D accuracy based on ground truth coordinates with a 90% confidence level.
- SEP 98%: Provides 3D accuracy based on ground truth coordinates with a 98% confidence level.
- Mean SEP 50%: Provides 3D accuracy based on the mean of data coordinates with a 50% confidence level.
- Mean SEP 90%: Provides 3D accuracy based on the mean of data coordinates with a 90% confidence level.
- Mean SEP 98%: Provides 3D accuracy based on the mean of data coordinates with a 98% confidence level.
- Visit gnssmetrics.com in your web browser.
- Upload your Excel or CSV sheet containing latitude, longitude, and altitude data.
- Enter your ground truth coordinates (latitude, longitude, and altitude).
- Click on the "Calculate Metrics" button.
- View the calculated metrics and analysis on the dashboard.
- React.js for the frontend.
- Node.js for the backend.
- Firebase for hosting.
- Implement maps view on result dashboard
- Add data export of result in different formats (html, csv, xlsx, etc)
- Implement user sign in and data persistence
- Implement analysis of live tests
- Clone the repository:
git clone <repository-url> - Navigate to the project directory:
cd gnssmetrics - Install dependencies:
npm install - Start the development server:
npm start - Open your web browser and visit http://localhost:3000
Contributions are welcome! If you'd like to contribute to gnssmetrics.com, please follow these guidelines:
- Fork the repository.
- Create a new branch:
git checkout -b feature-name - Make your changes and commit them:
git commit -m 'Add new feature' - Push to the branch:
git push origin feature-name - Submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.