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Bayesian Knowledge Propagation

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Tracking and Sensor Data Fusion

Part of the book series: Mathematical Engineering ((MATHENGIN))

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Abstract

Within the general framework of Bayesian reasoning and based on object evolution models and sensor likelihood functions, such as those previously discussed, we proceed along the following lines.

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Authors and Affiliations

  1. SDF, Fraunhofer FKIE, Neuenahrer Straße 20, 53343, Wachtberg, Germany

    Wolfgang Koch

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  1. Wolfgang Koch
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Correspondence to Wolfgang Koch .

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Koch, W. (2014). Bayesian Knowledge Propagation. In: Tracking and Sensor Data Fusion. Mathematical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39271-9_3

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  • DOI: https://doi.org/10.1007/978-3-642-39271-9_3

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  • Print ISBN: 978-3-642-39270-2

  • Online ISBN: 978-3-642-39271-9

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