Abstract
This paper gives the implementation architecture for a multilevel knowledge representation scheme, aimed at sensor fusion of 3-dimensional scenes. PROLOG procedures are given for the extraction of edge, vertex, and region attributes of the corresponding software objects, from each sensor. Sensor-fusion is carried out by a truth maintenance procedure operating a classification of all objects into non-contradicting scene contexts. Context filtering gives the attributes of the sensor fusion region objects, which themselves are used in scripts for later scene evaluation. Implementation considerations are discussed in relation to an object oriented PROLOG environment. This architecture is being used in target classification, vision, mapping, threat assessment and change of activity [12,13]
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© 1988 Springer-Verlag Berlin Heidelberg
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Pau, L.F. (1988). Knowledge Representation for Three-Dimensional Sensor Fusion with Context Truth Maintenance. In: Jain, A.K. (eds) Real-Time Object Measurement and Classification. NATO ASI Series, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83325-0_25
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DOI: https://doi.org/10.1007/978-3-642-83325-0_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-83327-4
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