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Road Geometry Estimation and Vehicle Tracking using a Single Track Model
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2008 (English)In: Proceedings of the 2008 IEEE Intelligent Vehicles Symposium, 2008, p. 144-149Conference paper, Published paper (Refereed)
Abstract [en]

This paper is concerned with the, by now rather well studied, problem of integrated road geometry estimation and vehicle tracking. The main differences to the existing approaches are that we make use of an improved host vehicle model and a new dynamic model for the road. The problem is posed within a standard sensor fusion framework, allowing us to make good use of the available sensor information. The performance of the solution is evaluated using measurements from real and relevant traffic environments from public roads in Sweden. The experiments indicates that the gain in using the extended host vehicle model is most prominent when driving on country roads without any vehicles in front.

Place, publisher, year, edition, pages
2008. p. 144-149
Keywords [en]
Road geometry, Vehicle tracking, Sensor fusion, Kalman Filter, Single track model
National Category
Engineering and Technology Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-44271DOI: 10.1109/IVS.2008.4621231Local ID: 76149ISBN: 978-1-4244-2568-6 (print)ISBN: 978-1-4244-2569-3 (print)OAI: oai:DiVA.org:liu-44271DiVA, id: diva2:265133
Conference
2008 IEEE Intelligent Vehicles Symposium, Eindhoven, The Netherlands, June, 2008
Available from: 2011-12-16 Created: 2009-10-10 Last updated: 2013-02-23Bibliographically approved

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Lundquist, ChristianSchön, Thomas

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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