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Combined Road Prediction and Target Tracking in Collision Avoidance
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.
2004 (English)Report (Other academic)
Abstract [en]

Detection and tracking of other vehicles and lane geometry will be required for many future intelligent driver assistance systems. By integrating the estimation of these two features into a single filter, a more optimal utilization of the available information can be achieved. For example, it is possible to improve the lane curvature estimate during bad visibility by studying the motion of other vehicles. This paper derives and evaluates various approximations that are needed in order to deal with the non-linearities that are introduced by such an approach.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2004. , 9 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2686
Keyword [en]
Automotive tracking, Extended Kalman filter, Lane geometry, Collision avoidance
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55813ISRN: LiTH-ISY-R-2686OAI: oai:DiVA.org:liu-55813DiVA: diva2:316517
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-07-29Bibliographically approved

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fulltext(764 kB)200 downloads
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Eidehall, AndreasGustafsson, Fredrik

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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