Google Inc.

Bhaskar Mehta

Ying Zhang

Xiao Meng Zhang

Chetan Bhadricha

Gabriel Leblanc

Brian Coopersmith

Giovanni Botta

Alexander Varshavsky

Robert Fraser

Smruti Parichha

Jieru Cheng

Xiao Zhang

The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.

Smart context subsampling on-device system

Systems and methods for determining an improved user location using real world map data and/or sensor data are provided. In one embodiment, the method can include obtaining an initial estimate of a location of a user device and maps information corresponding to a geographic area at least partially surrounding the initial estimate of the location of the user device. The maps information can include one or more physical boundaries located at least in part within the geographic area at least partially surrounding the initial estimate. The method can further include determining a set of permissible areas that can potentially include the user device. The set of permissible areas can be determined based at least in part on the one or more physical boundaries. The method can further include revising the initial estimate to provide a revised estimate for the location of the user device based at least in part on the set of permissible areas.

Systems and methods of determining an improved user location using real world map and sensor data

Growing community of inventors

Menlo Park, CA, United States of America

Bhaskar Mehta