Millimetre Wave Receiver of Radar Detection with Deep Learning for ADAS Edge Computing Vision

This article introduces integrated millimeter wave receiver of radar detection with deep learning, performance optimization and low power dissipation. The proposed pedestrian detection system (PDS) on embedded platform used as edge computing vision for advanced driver assistance systems (ADAS). The proposed millimeter wave receiver can reduce image amount of calculation with featured object and enhance throughput with parallel processing on deep convolutional layer of ARM Neon to comparison with produce MobileNet and traditional convolutional neural network (CNN).