Sammenlign metoder

	Data Fusion	Sensorfusion
Fagområde	Datafusion	Datafusion
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1997	2013
Ophavsperson	David Hall & James Llinas	Khaleghi, Khamis, Karray & Razavi
Type	Multi-level information integration pipeline	Multi-source information integration pipeline
Oprindelig kilde	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.
Aliasser	Sensor Data Fusion, Information Fusion, Multi-source Data Fusion, Veri Füzyonu	Multisensor Data Fusion, Multi-Sensor Integration, Information Fusion, Sensör Füzyonu
Relaterede	3	3
Resumé	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.