Sensor data fusion is the process of combining data from multiple sensors to produce more accurate and reliable information than that provided by individual sensors. This technique enhances the interpretation of sensor data, allowing for improved decision-making, perception, and understanding of complex environments. By integrating diverse sensor inputs, it can help filter out noise and inconsistencies, ultimately leading to a more comprehensive view of the monitored phenomena.
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