High resolution remote sensing (HR RS) images allow discriminating between different objects in a scene. Spatial reasoning techniques can be used to interpret and describe the sce...
Maria Carolina Vanegas, Isabelle Bloch, Jordi Ingl...
In many approaches for qualitative spatial reasoning, navigation of an agent in a more or less static environment is considered (e.g. in the double-cross calculus [12]). However, i...
Spatial reasoning is a major source of difficulties for strategy game AIs. We conjecture that qualitative spatial reasoning techniques can help overcome these difficulties. We bri...
Qualitative temporal and spatial reasoning is in many cases based on binary relations such as before, after, starts, contains, contact, part of, and others derived from these by r...
In spatial reasoning, in particular for applications in image understanding, structure recognition and computer vision, a lot of attention has to be paid to spatial relationships ...
Topological relations are important in various tasks of spatial reasoning, scene description and object recognition. The RCC8 spatial constraint language developed by Randell, Cui...
It is widely accepted that spatial reasoning plays a central role in artificial intelligence, for it has a wide variety of potential applications, e.g., in robotics, geographical...
Antonio Morales, Isabel Navarrete, Guido Sciavicco
In fields such as medicine, geography, and mechanics, spatial reasoning involves reasoning about entities—for example cavities and invading particles—that may coincide without...
This paper presents arguments for the application of a multiagent approach to spatial reasoning, and it is shown how spatial reasoning benefits from an agent-based implementation....
ion Framework for Compositional Modeling 36 Diane Chi and Yumi Iwasaki Model Decomposition and Simulation 45 Daniel J. Clancy and Benjamin Kuipers A Distance Measure for Attention ...