Editing Sensor fusion (section)

== Algorithms ==

Sensor fusion is a term that covers a number of methods and algorithms, including:

* [[Kalman filter]]<ref>{{Cite journal|last1=Li|first1=Wangyan|last2=Wang|first2=Zidong|last3=Wei|first3=Guoliang|last4=Ma|first4=Lifeng|last5=Hu|first5=Jun|last6=Ding|first6=Derui|date=2015|title=A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks|journal=Discrete Dynamics in Nature and Society|language=en|volume=2015|pages=1–12|doi=10.1155/2015/683701|issn=1026-0226|doi-access=free}}</ref>
* [[Bayesian network]]s
* [[Dempster–Shafer theory|Dempster–Shafer]]
* [[Convolutional neural network]]
* [[Gaussian process]]es<ref>{{Cite journal|last1=Badeli|first1=Vahid|last2=Ranftl|first2=Sascha|last3=Melito|first3=Gian Marco|last4=Reinbacher-Köstinger|first4=Alice|last5=Von Der Linden|first5=Wolfgang|last6=Ellermann|first6=Katrin|last7=Biro|first7=Oszkar|date=2021-01-01|title=Bayesian inference of multi-sensors impedance cardiography for detection of aortic dissection|url=https://doi.org/10.1108/COMPEL-03-2021-0072|journal=COMPEL - the International Journal for Computation and Mathematics in Electrical and Electronic Engineering|volume=41 |issue=3 |pages=824–839 |doi=10.1108/COMPEL-03-2021-0072|s2cid=245299500 |issn=0332-1649|url-access=subscription}}</ref><ref>{{Cite journal|last1=Ranftl|first1=Sascha|last2=Melito|first2=Gian Marco|last3=Badeli|first3=Vahid|last4=Reinbacher-Köstinger|first4=Alice|last5=Ellermann|first5=Katrin|last6=von der Linden|first6=Wolfgang|date=2019-12-31|title=Bayesian Uncertainty Quantification with Multi-Fidelity Data and Gaussian Processes for Impedance Cardiography of Aortic Dissection|journal=Entropy|volume=22|issue=1|pages=58|doi=10.3390/e22010058|pmid=33285833 |pmc=7516489 |issn=1099-4300|doi-access=free |bibcode=2019Entrp..22...58R }}</ref>