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	Fuzja danych	Fuzja sensorów
Dziedzina	Fuzja danych	Fuzja danych
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	1997	2013
Twórca	David Hall & James Llinas	Khaleghi, Khamis, Karray & Razavi
Typ	Multi-level information integration pipeline	Multi-source information integration pipeline
Źródło pierwotne	Hall, D. L., & Llinas, J. (1997). An introduction to multisensor data fusion. Proceedings of the IEEE, 85(1), 6–23.	Khaleghi, B., Khamis, A., Karray, F. O., & Razavi, S. N. (2013). Multisensor data fusion: A review of the state-of-the-art. Information Fusion, 14(1), 28–44.
Inne nazwy	Sensor Data Fusion, Information Fusion, Multi-source Data Fusion, Veri Füzyonu	Multisensor Data Fusion, Multi-Sensor Integration, Information Fusion, Sensör Füzyonu
Pokrewne	3	3
Podsumowanie	Data fusion is a multi-level process that combines data and information from multiple sensors and sources to achieve improved accuracy, completeness, and confidence in estimates that cannot be obtained from any single source alone. Formally introduced as the Joint Directors of Laboratories (JDL) model by Hall and Llinas in 1997, the framework organizes fusion into hierarchical processing levels ranging from raw signal combination to higher-order situation and threat assessment.	Sensor fusion is a computational process that combines data from multiple heterogeneous sensors to produce an estimate of the environment that is more accurate, complete, and reliable than any single source alone. Systematized as a formal field by Khaleghi, Khamis, Karray, and Razavi in their 2013 state-of-the-art review in Information Fusion, the discipline addresses imperfections such as noise, incompleteness, temporal misalignment, and conflicting readings that arise whenever multiple sensing modalities operate in parallel.