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.
|Number of pages||7|
|Journal||IJCAI International Joint Conference on Artificial Intelligence|
|Publication status||Published - 1999 Dec 1|
|Event||16th International Joint Conference on Artificial Intelligence, IJCAI 1999 - Stockholm, Sweden|
Duration: 1999 Jul 31 → 1999 Aug 6
ASJC Scopus subject areas
- Artificial Intelligence