Spatial reasoning via active observation

Venkatesh, Svetha, Kieronska, Dorota and Smith, Stewart 1995, Spatial reasoning via active observation, Applied artificial intelligence, vol. 9, no. 5, pp. 495-524, doi: 10.1080/08839519508945487.

Attached Files
Name Description MIMEType Size Downloads

Title Spatial reasoning via active observation
Author(s) Venkatesh, SvethaORCID iD for Venkatesh, Svetha
Kieronska, Dorota
Smith, Stewart
Journal name Applied artificial intelligence
Volume number 9
Issue number 5
Start page 495
End page 524
Total pages 30
Publisher Taylor & Francis
Place of publication Philadelphia, Pa.
Publication date 1995-09
ISSN 0883-9514
Keyword(s) artificial intelligence
knowledge representation
mathematical models
Summary This paper presents a model for space in which an autonomous agent acquires information about its environment. The agent uses a predefined exploration strategy to build a map allowing it to navigate and deduce relationships between points in space. The shapes of objects in the environment are represented qualitatively. This shape information is deduced from the agent's motion. Normally, in a qualitative model, directional information degrades under transitive deduction. By reasoning about the shape of the environment, the agent can match visual events to points on the objects. This strengthens the model by allowing further relationships to be deduced. In particular, points that are separated by long distances, or complex surfaces, can be related by line-of-sight. These relationships are deduced without incorporating any metric information into the model. Examples are given to demonstrate the use of the model.
Language eng
DOI 10.1080/08839519508945487
Field of Research 080104 Computer Vision
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©1995, Taylor & Francis
Persistent URL

Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 587 Abstract Views, 16 File Downloads  -  Detailed Statistics
Created: Thu, 05 Apr 2012, 16:02:42 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact