Göm menyn
Files: Description Format
Fulltext PDF (requires Acrobat Reader)
Fulltext PostScript (requires a PostScript Reader)
   
Authors: Thord Andersson, Silvia Coradeschi, and Alessandro Saffiotti
Article title: Fuzzy matching of visual cues in an unmanned airborne vehicle
Publ. type: Article
Volume: 4
Article No: 8
Language: English
Abstract [en]: Computer vision systems used in autonomous mobile vehicles are typically linked to higher-level deliberation processes. One important aspect of this link is how to connect, or anchor, the symbols used at the higher level to the objects in the vision system that these symbols refer to. Anchoring is complicated by the fact that the vision data are inherently affected by uncertainty. We propose an anchoring technique that uses fuzzy sets to represent the uncertainty in the perceptual data. We show examples where this technique allows a deliberative system to reason about the objects (cars) detected by a vision system embarked in an unmanned helicopter, in the framework of the Witas project.
Publisher: Linköping University Electronic Press
Year: 1999
Available: 1999-08-16
No. of pages: 12
Series: Linköping Electronic Articles in Computer and Information Science
ISSN: 1401-9841


Responsible for this page: Peter Berkesand
Last updated: 2017-02-21