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JSSC 2023第1期Other

DSPU An Efficient Deep Learning-Based Dense RGB-D Data Acquisition With Sensor Fu

提出一种低功耗实时深度信号处理SoC,用于高效获取密集RGB-D数据。
RGB-D深度信号处理低功耗实时处理传感器融合
基于CNN的单目深度估计与ToF传感器融合
统一点处理单元简化算法复杂度
统一矩阵处理单元加速矩阵运算
Abstract
3-D red, green, blue, and depth (RGB-D) and 3-D perception are essential information for 3-D applications such as autonomous driving and augmented reality (AR)/virtual reality (VR) systems. However, battery- and resource-limited mobile devices face difficulties in obtaining dense RGB-D data and 3-D perception information in low-power (LP) and real-time. Specifically, an RGB-D sensor is used to acquire 3-D RGB-D data, but it consumes high power and produces sparse depth data. Moreover, preprocessin