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Implement Noise Filtering for IMU Sensor Data #18

@umarkhan135

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@umarkhan135

Reduce noise in raw sensor data by implementing appropriate filtering algorithms to improve measurement accuracy.

  • research noise filtering techniques applicable to IMU sensors (low-pass, band-pass, Kalman filters)
  • select a suitable algorithm based on sensor data characteristics
  • implement chosen filtering techniques and integrate them into the exisitng flow for processing IMU data
  • include a test file (look for instructions on Gtest in repo) that is automatically triggered within the build pipeline

Success Criteria:

  • quick summary to justify design decisions (which filtering technique was chosen)
  • implementation of a filtering function/module
  • test that confirm filtered data is smoother and more stable than raw data
  • test file is executed as part of build pipeline

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sensor inputPart of the series of issues handling sensor input

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