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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)In: Proceedings of the 2004 IEEE Intelligent Vehicles Symposium, 2004, 619-624 p.Conference paper, Published paper (Refereed)
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
2004. 619-624 p.
Keyword [en]
Automotive tracking, Extended Kalman filter, Lane geometry, Collision avoidance
National Category
Engineering and Technology Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-22835DOI: 10.1109/IVS.2004.1336455Local ID: 2173ISBN: 0-7803-8310-9 (print)OAI: oai:DiVA.org:liu-22835DiVA: diva2:243148
Conference
2004 IEEE Intelligent Vehicles Symposium, Parma, Italy, June, 2004
Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2013-03-26

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Eidehall, AndreasGustafsson, Fredrik

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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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