Acquisition of Qualitative Spatial Representation by Visual Observation
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence. Qualitative Reasoning and Diagnosis. Pages 1054-1059.
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.
@inproceedings{ijcai1999p150,
title = {Acquisition of Qualitative Spatial Representation by Visual Observation},
author = {Sogo, Takushi and Ishiguro, Hiroshi and Ishida, Toru},
booktitle = {Proceedings of the Sixteenth International Joint Conference on
Artificial Intelligence, {IJCAI-99}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Thomas Dean},
pages = {1054--1059},
year = {1999},
note = {Qualitative Reasoning and Diagnosis},
url = {https://ijcai.org/proceedings/1999/150},
}
TY - CPAPER TI - Acquisition of Qualitative Spatial Representation by Visual Observation AU - Sogo, Takushi AU - Ishiguro, Hiroshi AU - Ishida, Toru T2 - Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99 PB - International Joint Conferences on Artificial Intelligence PY - 1999 SP - 1054 EP - 1059 UR - https://ijcai.org/proceedings/1999/150 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: