Dynamic-preserving qualitative motion description for intelligent vehicles

Andrea Miene, Andreas D. Lattner, Ubbo Visser, Otthein Herzog

Research output: Contribution to conferencePaperpeer-review

10 Scopus citations


Planning, acting, and recognizing intentions of participants in traffic situations requires the processing of complex spatio-temporal situations. If spatio-temporal information was represented quantitatively it would result in a huge amount of data. We claim that an abstraction to a qualitative description leads to more stable representations as similar situations at the quantitative level are mapped to one qualitative representation. Our approach is evaluated by emulating traffic situations with settings in the Robocup small-sized league.

Original languageEnglish (US)
Number of pages5
StatePublished - Sep 27 2004
Externally publishedYes
Event2004 IEEE Intelligent Vehicles Symposium - Parma, Italy
Duration: Jun 14 2004Jun 17 2004


Other2004 IEEE Intelligent Vehicles Symposium

ASJC Scopus subject areas

  • Modeling and Simulation
  • Automotive Engineering
  • Computer Science Applications


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