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This PR adds a new track fusion module that implements multiple methods for combining
tracking data from different sources to produce more accurate trajectories. This
addresses issue #271.

Key features:

  • Multiple fusion methods: mean, median, weighted average, reliability-based, and Kalman filter
  • Handles alignment of datasets with different time coordinates
  • Provides a high-level interface through the fuse_tracks function
  • Includes comprehensive unit tests
  • Includes an example script demonstrating usage with sample datasets

@demoncoder-crypto
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@niksirbi Please review this on your time. Thanks

@sonarqubecloud
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@demoncoder-crypto
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Screenshot 2025-03-25 155721

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