公开(公告)号：US20180189647A1

公开(公告)日：2018-07-05

申请号：US15393322

申请日：2016-12-29

Applicant: Google, Inc.

Inventor： Marcos Calvo ,  Victor Carbune ,  Pedro Gonnet Anders ,  Thomas Deselaers

IPC: G06N3/08 ,  G06N5/02

CPC classification number: G06N3/08 ,  G05B13/0265 ,  G06N3/00 ,  G06N5/022

Abstract: The present disclosure provides systems and methods that leverage machine learning to refine and/or predict sensor outputs for multiple sensors. In particular, systems and methods of the present disclosure can include and use a machine-learned virtual sensor model that has been trained to receive sensor data from multiple sensors that is indicative of one or more measured parameters in each sensor's physical environment, recognize correlations among sensor outputs of the multiple sensors, and in response to receipt of the sensor data from multiple sensors, output one or more virtual sensor output values. The one or more virtual sensor output values can include one or more of refined sensor output values and one or more predicted future sensor output value.