Data redundancy refers to the unnecessary duplication of data within a database or system, where the same piece of information is stored in multiple places. This can lead to increased storage costs and complications in data management, as updates may need to be made in several locations, raising the risk of inconsistency. In sensor fusion, managing data redundancy is crucial to ensure efficient integration of information from multiple sensors while minimizing errors and maximizing data reliability.
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