Bayesian Fusion is a statistical method that combines multiple sources of information or sensor data to produce a more accurate estimate of a variable or state. This approach utilizes Bayes' theorem to update the probability of hypotheses as more evidence is acquired, making it especially useful in situations with uncertainty and noise in sensor readings.
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