Acquisition of qualitative spatial representation by visual observation

Takushi Sogo, Hiroshi Ishiguro, Toru Ishida

Research output: Contribution to journalConference articlepeer-review

22 Citations (Scopus)

Abstract

In robot navigation, one of the important and fundamental issues is to reconstruct positions of landmarks or vision sensors locating around the robot. This paper proposes a method for reconstructing qualitative positions of multiple vision sensors from qualitative information observed by the vision sensors, i.e., motion directions of moving objects. The process iterates the following steps: (1) observing motion directions of moving objects from the vision sensors, (2) classifying the vision sensors into spatially classified pairs, (3) acquiring three point constraints, and (4) propagating the constraints. The method have been evaluated with simulations.

Original languageEnglish
Pages (from-to)1054-1060
Number of pages7
JournalIJCAI International Joint Conference on Artificial Intelligence
Volume2
Publication statusPublished - 1999 Dec 1
Externally publishedYes
Event16th International Joint Conference on Artificial Intelligence, IJCAI 1999 - Stockholm, Sweden
Duration: 1999 Jul 311999 Aug 6

ASJC Scopus subject areas

  • Artificial Intelligence

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