TY - JOUR
T1 - Acquisition of qualitative spatial representation by visual observation
AU - Sogo, Takushi
AU - Ishiguro, Hiroshi
AU - Ishida, Toru
PY - 1999/12/1
Y1 - 1999/12/1
N2 - 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.
AB - 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.
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M3 - Conference article
AN - SCOPUS:0002424722
VL - 2
SP - 1054
EP - 1060
JO - IJCAI International Joint Conference on Artificial Intelligence
JF - IJCAI International Joint Conference on Artificial Intelligence
SN - 1045-0823
T2 - 16th International Joint Conference on Artificial Intelligence, IJCAI 1999
Y2 - 31 July 1999 through 6 August 1999
ER -