Qualitative egocentric updating for autonomous automobiles

Thomas Wagner, Ubbo Visser, Andreas D. Lattner, Otthein Herzog

Research output: Contribution to journalConference articlepeer-review

Abstract

Navigation is one of the most fundamental tasks to be accomplished by robots, autonomous vehicles as well as cognitive systems. In this paper we propose an egocentric, qualitative approach to navigation based on ordering information. It allows qualitative navigation in combination with path integration and supports validation of path integration data. We claim that such a representation in combination with path integration provides sufficient information to guide navigation with limited effort to the vision process.

Original languageEnglish (US)
Pages (from-to)90-95
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume37
Issue number8
StatePublished - 2004
Externally publishedYes
EventIFAC/EURON Symposium on Intelligent Autonomous Vehicles - Lisbon, Portugal
Duration: Jul 5 2004Jul 7 2004

Keywords

  • Autonomous Systems
  • Egocentric spatial representation
  • Localization
  • Qualitative Navigation

ASJC Scopus subject areas

  • Control and Systems Engineering

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