A complementary filter is a mathematical algorithm used to combine data from multiple sensors, typically by merging low-pass filtered data from one sensor with high-pass filtered data from another. This technique is often employed to achieve a more accurate estimation of an object's state by effectively leveraging the strengths of each sensor type, especially in scenarios involving noise and drift.
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