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

Direct link
Stream-Based Hierarchical Anchoring
2013 (English)In: Künstliche Intelligenz, ISSN 0933-1875, Vol. 27, no 2, 119-128Article in journal (Refereed) Published
Abstract [en]

Autonomous systems situated in the real world often need to recognize, track, and reason about various types of physical objects. In order to allow reasoning at a symbolic level, one must create and continuously maintain a correlation between symbols denoting physical objects and sensor data being collected about them, a process called anchoring.In this paper we present a stream-based hierarchical anchoring framework. A classification hierarchy is associated with expressive conditions for hypothesizing the type and identity of an object given streams of temporally tagged sensor data. The anchoring process constructs and maintains a set of object linkage structures representing the best possible hypotheses at any time. Each hypothesis can be incrementally generalized or narrowed down as new sensor data arrives.  Symbols can be associated with an object at any level of classification, permitting symbolic reasoning on different levels of abstraction. The approach is integrated in the DyKnow knowledge processing middleware and has been applied to an unmanned aerial vehicle traffic monitoring application.

National Category
Computer and Information Science Engineering and Technology
URN: urn:nbn:se:liu:diva-89895DOI: 10.1007/s13218-013-0239-2OAI: diva2:610375
eLLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsLinnaeus research environment CADICSSwedish Foundation for Strategic Research Swedish Research Council
Available from2013-03-11 Created:2013-03-11 Last updated:2013-08-29Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Heintz, FredrikKvarnström, JonasDoherty, Patrick
By organisation
KPLAB - Knowledge Processing LabThe Institute of TechnologyUASTECH - Autonomous Unmanned Aircraft Systems Technologies
In the same journal
Künstliche Intelligenz
Computer and Information ScienceEngineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
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

Altmetric score

Total: 46 hits
ReferencesLink to record
Permanent link

Direct link