PREDICTIVE WIRELESS CHARGING OF ELECTRONIC DEVICES

    公开(公告)号:US20220294278A1

    公开(公告)日:2022-09-15

    申请号:US17249065

    申请日:2021-02-18

    Applicant: Google LLC

    Abstract: Techniques of wireless charging involve a charging base configured to predict when the user is about to charge a device based on a state of the device. For example, the state of the device may be defined by inertial measurement units (IMUs). The charging base then activates in response to predicting that the user intends to charge the device. In some implementations, the prediction is based on a machine learning (ML) engine trained to classify a movement of a device by a user as being about to charge or not being about to charge. If a movement of a device is classified as being about to charge, the charging base activates before the device is detected by the charging base.

    Scenic Route-Based Navigation Directions

    公开(公告)号:US20210172753A1

    公开(公告)日:2021-06-10

    申请号:US16707408

    申请日:2019-12-09

    Applicant: GOOGLE LLC

    Abstract: To provide navigation directions for a scenic route, a machine learning model is trained using (i) characteristics of road segments that have been assigned a scenic metric and (ii) the scenic metrics for the road segments. In response to a request for navigation directions, a set of candidate routes for navigating from the starting location to the destination location is identified. Then for each road segment within each candidate route, characteristics of the road segment are applied to the machine learning model to generate the scenic metric for the road segment. A route is then selected from the set of candidate routes based at least in part on the scenic metrics of the road segments within the route. A set of navigation directions is provided for presentation on a client device for navigating from the starting location to the destination location via the selected route.

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