Publication 2001 Issue No. 3 - March Abstract - Acquisition and Propagation of Spatial Constraints Based on Qualitative Information
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Acquisition and Propagation of Spatial Constraints Based on Qualitative Information
March 2001 (vol. 23 no. 3)
pp. 268-278
 ASCII Text x Takushi Sogo, Hiroshi Ishiguro, Toru Ishida, "Acquisition and Propagation of Spatial Constraints Based on Qualitative Information," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 3, pp. 268-278, March, 2001.
 BibTex x @article{ 10.1109/34.910879,author = {Takushi Sogo and Hiroshi Ishiguro and Toru Ishida},title = {Acquisition and Propagation of Spatial Constraints Based on Qualitative Information},journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},volume = {23},number = {3},issn = {0162-8828},year = {2001},pages = {268-278},doi = {http://doi.ieeecomputersociety.org/10.1109/34.910879},publisher = {IEEE Computer Society},address = {Los Alamitos, CA, USA},}
 RefWorks Procite/RefMan/Endnote x TY - JOURJO - IEEE Transactions on Pattern Analysis and Machine IntelligenceTI - Acquisition and Propagation of Spatial Constraints Based on Qualitative InformationIS - 3SN - 0162-8828SP268EP278EPD - 268-278A1 - Takushi Sogo, A1 - Hiroshi Ishiguro, A1 - Toru Ishida, PY - 2001KW - Qualitative spatial representationKW - qualitative observationKW - spatially classified pairKW - three point constraintKW - constraint propagationKW - map building.VL - 23JA - IEEE Transactions on Pattern Analysis and Machine IntelligenceER -

Abstract—In robot navigation, one of the important and fundamental issues is to find positions of landmarks or vision sensors located 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. In order to directly acquire the qualitative positions of points, the method proposed in this paper iterates the following steps: 1) observing motion directions (left or right) of moving objects with the vision sensors, 2) classifying the vision sensors into spatially classified pairs based on the motion directions, 3) acquiring three point constraints, and 4) propagating the constraints. Compared with the previous methods, which reconstruct the environment structure from quantitative measurements and acquire qualitative representations by abstracting it, this paper focuses on how to acquire qualitative positions of landmarks from low-level, simple, and reliable information (that is, “qualitative”). The method has been evaluated with simulations and also verified with observation errors.

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Index Terms:
Qualitative spatial representation, qualitative observation, spatially classified pair, three point constraint, constraint propagation, map building.
Citation:
Takushi Sogo, Hiroshi Ishiguro, Toru Ishida, "Acquisition and Propagation of Spatial Constraints Based on Qualitative Information," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 3, pp. 268-278, March 2001, doi:10.1109/34.910879