Temporal reasoning based on semi-intervals
Artificial Intelligence
A spatial knowledge structure for image information systems using symbolic projections
ACM '86 Proceedings of 1986 ACM Fall joint computer conference
Qualitative Representation of Spatial Knowledge
Qualitative Representation of Spatial Knowledge
Using Orientation Information for Qualitative Spatial Reasoning
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
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The 2-D orientation model of Freksa and Zimmerman has been extended into a 3-D orientation model by Pacheco, Escrig and Toledo for fine information. W hen 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. The 3-D Pacheco et al.'s orientation model has been coarsen into three models, (a length coarse model, a height coarse model and a general coarse model). In this paper the algorithm which integrates the coarse and the fine 3-D orientation models has also been explained.