Порівняння методів

	Сенсорне злиття	Злиття даних
Галузь	Злиття даних	Злиття даних
Родина	Process / pipeline	Process / pipeline
Рік появи	2013	1997
Автор методу	Khaleghi, Khamis, Karray & Razavi	David Hall & James Llinas
Тип	Multi-source information integration pipeline	Multi-level information integration pipeline
Основоположне джерело	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.	Hall, D. L., & Llinas, J. (1997). An introduction to multisensor data fusion. Proceedings of the IEEE, 85(1), 6–23.
Інші назви	Multisensor Data Fusion, Multi-Sensor Integration, Information Fusion, Sensör Füzyonu	Sensor Data Fusion, Information Fusion, Multi-source Data Fusion, Veri Füzyonu
Пов'язані	3	3
Підсумок	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.	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.