Implementation of Millimetre Wave Receiver for Radar Detection and Image Fusion on Embedded Vehicle

The proposed article presents integrated millimeter wave receiver with hybrid beamforming of radar detection with neural network, optimized power dissipation and enhance performance. The embedded platform of vehicle adopts edge computing vision and deep learning for advanced driver assistance systems (ADAS). Implementation of millimetre wave receiver of radar detection promoted to decrease image computation with featured object and excellent throughput with parallel achieving in multiple convolutional layers of ARM Neon to comparison with MobileNet and training of deep neural network.