liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
A Representation Scheme for Description and Reconstruction of Object Configurations Based on Qualitative Relations
Linköping University, Department of Computer and Information Science, CASL - Cognitive Autonomous Systems Laboratory. Linköping University, The Institute of Technology.
2008 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

One reason Qualitative Spatial Reasoning (QSR) is becoming increasingly important to Artificial Intelligence (AI) is the need for a smooth ‘human-like’ communication between autonomous agents and people. The selected, yet general, task motivating the work presented here is the scenario of an object configuration that has to be described by an observer on the ground using only relational object positions. The description provided should enable a second agent to create a map-like picture of the described configuration in order to recognize the configuration on a representation from the survey perspective, for instance on a geographic map or in the landscape itself while observing it from an aerial vehicle. Either agent might be an autonomous system or a person. Therefore, the particular focus of this work lies on the necessity to develop description and reconstruction methods that are cognitively easy to apply for a person.

This thesis presents the representation scheme QuaDRO (Qualitative Description and Reconstruction of Object configurations). Its main contributions are a specification and qualitative classification of information available from different local viewpoints into nine qualitative equivalence classes. This classification allows the preservation of information needed for reconstruction nto a global frame of reference. The reconstruction takes place in an underlying qualitative grid with adjustable granularity. A novel approach for representing objects of eight different orientations by two different frames of reference is used. A substantial contribution to alleviate the reconstruction process is that new objects can be inserted anywhere within the reconstruction without the need for backtracking or rereconstructing. In addition, an approach to reconstruct configurations from underspecified descriptions using conceptual neighbourhood-based reasoning and coarse object relations is presented.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press , 2008. , 178 p.
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1204
Keyword [en]
Qualitative Reasoning, Spatial Reasoning, Cognitive Modeling, Human-Machine Interaction, Coarse Reasoning, Artificial Intelligence
National Category
Computer Science
URN: urn:nbn:se:liu:diva-12446ISBN: 978-91-7393-823-5 (print)OAI: diva2:97
Public defence
2008-09-29, Visionen, Hus B, Campus Valla, Linköpings universitet, Linköping, 10:15 (English)
Available from: 2008-09-12 Created: 2008-09-04 Last updated: 2009-05-14Bibliographically approved

Open Access in DiVA

fulltext(2082 kB)359 downloads
File information
File name FULLTEXT01.pdfFile size 2082 kBChecksum SHA-512
Type fulltextMimetype application/pdf
cover(121 kB)60 downloads
File information
File name COVER01.pdfFile size 121 kBChecksum SHA-512
Type coverMimetype application/pdf

Search in DiVA

By author/editor
Steinhauer, Heike Joe
By organisation
CASL - Cognitive Autonomous Systems LaboratoryThe Institute of Technology
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 359 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 2696 hits
ReferencesLink to record
Permanent link

Direct link