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Using Ontologies to Aid Navigation Planning in Autonomous Vehicles

Published

Author(s)

Craig I. Schlenoff, Stephen B. Balakirsky, M Uschold, R Provine, S J. Smith

Abstract

This paper describes a system whose overall goal is to utilize ontologies to enhance the capabilities and performance of autonomous vehicles, particularly in the area of navigation planning. Our approach is to develop an ontology of objects based upon a theory of obstacles. Automated reasoning over the ontology will estimate the damage that would be incurred by collisions with different types of objects that could be encountered during on-road driving. The supporting autonomous vehicle infrastructure is based on the 4D/RCS architecture developed at NIST.
Citation
Special Issue of the Knowledge Engineering Review journal
Volume
18
Issue
No. 3

Keywords

autonomous vehicle, collisions, navigation planning, obstacles, ontologies, planning

Citation

Schlenoff, C. , Balakirsky, S. , Uschold, M. , Provine, R. and Smith, S. (2003), Using Ontologies to Aid Navigation Planning in Autonomous Vehicles, Special Issue of the Knowledge Engineering Review journal (Accessed May 20, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created September 1, 2003, Updated February 17, 2017