liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Fusion of Data from Different Sources
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2009 (English)Report (Other academic)
Abstract [en]

The use of data from different, often complementary sources in order to obtain a better estimate of the state of the system under consideration has recently become very popular within many scientific areas. We will in this talk provide a framework, including the popular Kalman and particle filters for fusing data from different, complementary sources. The theory will be illustrated using several application examples from the automotive and the aerospace industry. Possible applications for 3D analysis of human motion will be discussed.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2009. , 3 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2874
Keyword [en]
Sensor fusion, Nonlinear estimation, Kalman filter, Particle filter
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-56190ISRN: LiTH-ISY-R-2874OAI: diva2:316981
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-10-01Bibliographically approved

Open Access in DiVA

fulltext(257 kB)50 downloads
File information
File name FULLTEXT01.pdfFile size 257 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Schön, Thomas
By organisation
Automatic ControlThe Institute of Technology
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 50 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 72 hits
ReferencesLink to record
Permanent link

Direct link