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Multilevel Sensor Fusion With Deep Learning
2019
IEEE Sensors Letters
In the context of deep learning, this article presents an original deep network, namely CentralNet, for the fusion of information coming from different sensors. This approach is designed to efficiently and automatically balance the trade-off between early and late fusion (i.e. between the fusion of low-level vs high-level information). More specifically, at each level of abstraction -the different levels of deep networks -unimodal representations of the data are fed to a central neural network
doi:10.1109/lsens.2018.2878908
fatcat:3zchoz3vvffadnvs4atus23ptq