Abstract
We propose an anytime fusion setup of anonymous distributed information sources with spatial affiliation. For this approach we use the evidence grid mapping algorithm which allows to fuse sensor information by their inverse sensor model. Furthermore, we apply an online Mixture of Experts training such that faulty voters are detected and suppressed during runtime by a gating function.
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Korthals, T., Krause, T., Rückert, U. (2016). Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor Networks. In: Niggemann, O., Beyerer, J. (eds) Machine Learning for Cyber Physical Systems. Technologien für die intelligente Automation. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48838-6_2
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DOI: https://doi.org/10.1007/978-3-662-48838-6_2
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