sensor_based_nav 1.0.3

A Flutter package for sensor-based navigation using ONNX models.

Make predictions using a .onnx model file directly in the Flutter app.

Key Files

• onnx_model.dart: Loads model.onnxand provides apredict()` function.
• sensor_based_nav_controller.dart: Collects sensor data and triggers the prediction.

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How It Works

1. HardwareSensorService provides sensor data (accelerometer, gyroscope, magnetometer).

2. SensorBasedNavController:

   • Collects 10 current sensor values (_currentSensorSamples)
   • Stores historical values (_historicalBursts) and past predictions (_historicalDeltas)
   • Prediction Trigger: Once 10 samples are collected, OnnxModel.predict() is called with both current and historical data
     [Code Reference] on GitLab: Sensor-Based-Navigation -> MainBranch
   • After prediction, old data stores are updated
   • Data is updated every 100ms

3. The prediction result is displayed or used within the app.

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Usage (App Team)

• Subscribe to predictions:

  controller = SensorBasedNavController.instance;
  controller.predictions.listen((predictedValues) {
    print('Predicted values: $predictedValues');
  });
  

• Add as dependency

    dependencies:
    sensor_based_nav: 1.0.0