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Random Set Based Road Mapping using Radar Measurements
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Chalmers University of Technology, Sweden.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2010 (English)Report (Other academic)
Abstract [en]

This work is concerned with the problem of multi-sensor multi-target tracking of stationary road side objects, i.e. guard rails and parked vehicles, in the context of automotive active safety systems. Advanced active safety applications, such as collision avoidance by steering, rely on obtaining a detailed map of the surrounding infrastructure to accurately assess the situation. Here, this map consists of the position of objects, represented by a random finite set (RFS) of multi-target states and we propose to describe the map as the spatial stationary object intensity. This intensity is the first order moment of a multi-target RFS representing the position of stationary objects and it is calculated using a Gaussian mixture probability hypothesis density (GM-PHD) filter.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2010. , 8 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2962
Keyword [en]
Radar measurements- -Active safety systems--Gaussian mixture
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-97600ISRN: LiTH-ISY-R-2962OAI: oai:DiVA.org:liu-97600DiVA: diva2:649231
Available from: 2013-09-17 Created: 2013-09-17 Last updated: 2014-09-01Bibliographically approved

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Lundquist, ChristianGustafsson, 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