Abstract
This paper presents the implementation of a qualitative spatial reasoning formalism called Interval Occlusion Calculus based on Allen’s Algebra, that considers multiple viewpoints in a scene and the interpretation of the observations made from each point from the perspective of other agents. Furthermore we present a mechanism to check consistency for the information provided by the agents using a constraint satisfaction process. This formalism was tested in a 3D domain with real and simulated robot’s viewpoints.
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Martin, A.P., Santos, P.E., Safi-Samghabadi, M. (2017). Consistency Check in a Multiple Viewpoint System for Reasoning About Occlusion. In: Benferhat, S., Tabia, K., Ali, M. (eds) Advances in Artificial Intelligence: From Theory to Practice. IEA/AIE 2017. Lecture Notes in Computer Science(), vol 10350. Springer, Cham. https://doi.org/10.1007/978-3-319-60042-0_58
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