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

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
On Fusion of Sensor Measurements and Observation with Uncertain Timestamp for Target Tracking
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-1971-4295
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
2016 (English)In: Proceedings of the 19th International Conference on Information Fusion, Institute of Electrical and Electronics Engineers (IEEE), 2016, 1268-1275 p.Conference paper, Published paper (Refereed)
Abstract [en]

We consider a target tracking problem where, in addition to the usual sensor measurements, accurate observations with uncertain timestamps are available. Such observations could, \eg, come from traces left by a target or from witnesses of an event, and have the potential in some scenarios to improve the accuracy of an estimate significantly. The Bayesian solution to the smoothing problem for one observation with uncertain timestamp is derived for a linear Gaussian state space model. The joint and marginal distributions of the states and uncertain time are derived, as well as the minimum mean squared error (MMSE) and maximum a posteriori (MAP) estimators. To attain an intuition for the problem in consideration a simple first-order example is presented and its posterior distributions and point estimators are compared and examined in some depth.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. 1268-1275 p.
Keyword [en]
Uncertain timestamp, target tracking
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-130349ISI: 000391273400168ISBN: 978-0-9964527-4-8 (print)OAI: oai:DiVA.org:liu-130349DiVA: diva2:950644
Conference
19th International Conference on Information Fusion, Heidelberg, Germany, July 5-8, 2016
Projects
LINK-SIC, Scalable Kalman Filters
Funder
VINNOVASwedish Research CouncilSecurity Link
Available from: 2016-08-01 Created: 2016-08-01 Last updated: 2017-02-03Bibliographically approved

Open Access in DiVA

fulltext(2957 kB)128 downloads
File information
File name FULLTEXT02.pdfFile size 2957 kBChecksum SHA-512
80d8d0afa1c38da653dad947aaaa0ff87f544a1919943d67bf1f566c1e022c7a68c2169217636c0b019d675bdb8b01900911f2d86c99265f75abedbd7cbf321b
Type fulltextMimetype application/pdf

Other links

Link to publication

Authority records BETA

Veibäck, ClasHendeby, GustafGustafsson, Fredrik

Search in DiVA

By author/editor
Veibäck, ClasHendeby, GustafGustafsson, Fredrik
By organisation
Automatic ControlFaculty of Science & Engineering
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 128 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

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 286 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf