基于深度学习的计算机视觉应用和医学应用中的传感器数据融合。
Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications.
机构信息
School of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea.
Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea.
出版信息
Sensors (Basel). 2022 Oct 21;22(20):8058. doi: 10.3390/s22208058.
Abstract
Sensor fusion is the process of merging data from many sources, such as radar, lidar and camera sensors, to provide less uncertain information compared to the information collected from single source [...].
摘要
传感器融合是将来自多个源（如雷达、激光雷达和相机传感器）的数据融合在一起的过程，与从单个源收集的信息相比，提供的信息不确定性更小。
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