Qualitative representation of positional information

Clementini, Eliseo; Felice, Paolino Di; Hernández, Daniel

doi:10.1016/s0004-3702(97)00046-5

Cited by 227 publications

(139 citation statements)

References 18 publications

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“…Combining both yields the qualitative abstraction of the relation of two objects in the plane. Our abstraction of positional information is based on the work of Hernández (1991) Hernández et al (1995), and Clementini et al (1997) who present a unified framework for qualitative positional information. The position of a primary object is represented by a pair of distance and orientation relations with respect to a reference object.…”

Section: Modeling Relative Positional Informationmentioning

confidence: 99%

Robot Controllers for Highly Dynamic Environments with Real-time Constraints

Ferrein

2010

Künstl Intell

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Section: Modeling Relative Positional Informationmentioning

confidence: 99%

Robot Controllers for Highly Dynamic Environments with Real-time Constraints

Ferrein

2010

Künstl Intell

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“…• range in four equally sized sectors is used, which describes where the primary object p is placed relative to the reference object r [10]. For distance relations, Euclidean distances are used under the assumption of an isotropic space (i.e.…”

Section: Qualitative Spatial Relationsmentioning

confidence: 99%

Using Spatial Abstractions in Industrial Environments

Holzmann

Ferscha

Hechinger

et al. 2008

2008 the Fourth International Conference on Wireless and Mobile Communications

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The invisible integration of technology in literally everything, which is the fundament of research on pervasive and ubiquitous computing, leads to huge quantities of smart objects which are distributed in physical space. They should operate autonomously, namely with as little human intervention as possible, and interact with humans in a more implicit way. Spatial properties and relations are important context information in this regard, as they allow them to automatically adapt to spatial changes in their environment in a semantically meaningful way. We propose novel concepts and a framework for exploiting qualitative abstractions of relationships between smart objects, which are specific to an application domain and facilitate the development of spatially-aware applications, and demonstrate their use with four industrial application scenarios.

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“…Of particular interest is the framework for representing distance [113] which has been extended to include orientation [40]. A distance system is composed of an ordered sequence of distance relations and a set of structure relations which give additional information about how the distance relations relate to each other.…”

Section: Direction and Orientationmentioning

confidence: 99%

Qualitative Spatial Representation and Reasoning

2002

Qualitative Spatial Reasoning With Topological Information

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Qualitative representation of positional information

Cited by 227 publications

References 18 publications

Robot Controllers for Highly Dynamic Environments with Real-time Constraints

Robot Controllers for Highly Dynamic Environments with Real-time Constraints

Using Spatial Abstractions in Industrial Environments

Qualitative Spatial Representation and Reasoning

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