Abstract
The 2-D orientation model of Freksa and Zimmerman has been extended by us into a 3-D orientation model for fine information. When the information provided to the system is coarse or it is advisable to reduce the processing time of the reasoning process, it is necessary to define a coarse 3-D orientation model. Our orientation model has been coarse into three models, (a length coarse model, a height coarse model and a general coarse model) which have been explained in this paper. The management of different levels of granularity and the integration between the coarse and the fine 3-D orientation models has also been explained.
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Pacheco, J., Monferrer, M.T.E., Lobo, F.T. (2002). Integrating 3D Orientation Models. In: Escrig, M.T., Toledo, F., Golobardes, E. (eds) Topics in Artificial Intelligence. CCIA 2002. Lecture Notes in Computer Science(), vol 2504. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36079-4_8
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DOI: https://doi.org/10.1007/3-540-36079-4_8
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