Abstract
Multisensor fusion may be suitable at a variety of levels: from the preprocessed signal up to the symbolic level in which partial models of the environment are expressed. This paper addresses the problem of fusing together pieces of information at etherogeneous levels. This problem is encountered while integrating new sensor information with an already constructed symbolic model. These pieces of information can even derive from “snapshots” taken at different times.
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© 1993 Springer-Verlag Berlin Heidelberg
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Caglioti, V., Somalvico, M. (1993). Distributing Inferential Activity for Synchronic and Diachronic Data Fusion. In: Aggarwal, J.K. (eds) Multisensor Fusion for Computer Vision. NATO ASI Series, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-02957-2_16
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DOI: https://doi.org/10.1007/978-3-662-02957-2_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-08135-4
Online ISBN: 978-3-662-02957-2
eBook Packages: Springer Book Archive