Millimeter Wave Receiver Of Radar And Lidar Detection With Deep Neural Network For Edge Electromobility

This article proposed integrated millimeter wave receiver with hybrid beamforming of radar detection with deep learning, high performance, and low power dissipation. The microsystem also designs lidar detection to upgrade accuracy on embedded electromobility. The traditional pedestrian detection system (PDS) on embedded platform introduced as edge computing vision for advanced driver assistance systems (ADAS). The millimeter wave receiver promoted to reduce image computation with featured object and enhance throughput with parallel processing on deep convolutional layers of ARM Neon to comparison with produce MobileNet and training of others neural network.