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SYSTEM AND METHOD FOR SENSOR FUSION SYSTEM HAVING DISTRIBUTED CONVOLUTIONAL NEURAL NETWORK
SYSTEM AND METHOD FOR SENSOR FUSION SYSTEM HAVING DISTRIBUTED CONVOLUTIONAL NEURAL NETWORK
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机译:具有分布式卷积神经网络的传感器融合系统的系统和方法
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摘要
An early fusion network is provided that reduces network load and enables easier design of specialized ASIC edge processors through performing a portion of convolutional neural network layers at distributed edge and data-network processors prior to transmitting data to a centralized processor for fully-connected/deconvolutional neural networking processing. Embodiments can provide convolution and downsampling layer processing in association with the digital signal processors associated with edge sensors. Once the raw data is reduced to smaller feature maps through the convolution-downsampling process, this reduced data is transmitted to a central processor for further processing such as regression, classification, and segmentation, along with feature combination of the data from the sensors. In some embodiments, feature combination can be distributed to gateway or switch nodes closer to the edge sensors, thereby further reducing the data transferred to the central node and reducing the amount of computation performed there.
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