Abstract
Machines will be able to act intelligently in the environment when they exhibit human-like capabilities such as the capacity to think, plan, reason, learn and solve problems. These capabilities use knowledge intensively. This knowledge, in turn, is acquired through perception, and the data for this perception is provided by sensors. To be successful, therefore, these machines will require an array of sensors which enable them to access various components of the environment. This poses a problem of multi-sensor fusion: the construction of a single model of the environment from the data supplied by this array of sensors.
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© 1993 Springer-Verlag Berlin Heidelberg
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McKee, G.T. (1993). What Can be Fused?. 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_5
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DOI: https://doi.org/10.1007/978-3-662-02957-2_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-08135-4
Online ISBN: 978-3-662-02957-2
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