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METHOD OF SEMI-SUPERVISED DATA COLLECTION AND MACHINE LEARNING LEVERAGING DISTRIBUTED COMPUTING DEVICES

机译:半监控数据收集和机器学习的方法利用分布式计算设备

摘要

Systems and methods for creating a view of an environment are disclosed. Exemplary implementations may: receive parameters and measurements from at least two of one or more microphones, one or more imaging devices, a radar sensor, a lidar sensor, and/or one or more infrared imaging devices located in a computing device; analyze the parameters and measurements received from the one or more multimodal input devices, the one or more multimodal input devices including the one or more microphones, one or more imaging devices, a radar sensor, a lidar sensor, and/or one or more infrared imaging devices; generate a world map of an environment around the computing device; and repeat the receiving of parameters and measurements from the multimodal input.
机译:公开了用于创建环境视图的系统和方法。 示例性实现可以:接收来自一个或多个麦克风,一个或多个成像装置,雷达传感器,LIDAR传感器和/或位于计算装置中的一个或多个红外成像装置的至少两个的参数和测量; 分析从一个或多个多模式输入设备,一个或多个多模式输入装置接收的参数和测量,包括一个或多个麦克风,一个或多个成像装置,雷达传感器,雷达传感器和/或一个或多个红外线 成像装置; 生成计算设备周围环境的世界地图; 并重复从多模式输入接收参数和测量值。

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