Multi-source information fusion

Multi-source information fusion is the process of combining data from different sources to create a more accurate and comprehensive understanding of a situation. By integrating diverse information—such as sensors, reports, or images—it reduces uncertainty and improves decision-making. This technique is used in various fields like surveillance, healthcare, and robotics, helping systems interpret complex environments more reliably than relying on a single source. Essentially, it synthesizes multiple perspectives to form a clearer, more confident picture of the data at hand.