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    Radar-based object detection for vehicles
    1.
    发明授权
    Radar-based object detection for vehicles 有权

    公开(公告)号：US10459080B1

    公开(公告)日：2019-10-29

    申请号：US15287155

    申请日：2016-10-06

    Applicant: Google Inc.

    Inventor： Carsten C. Schwesig ,  Ivan Poupyrev

    IPC: G01S13/93 ,  G01S7/41

    Abstract: This document describes techniques and devices for radar-based object detection for vehicles. A radar-based object detection component implemented in a vehicle is configured to detect characteristics of persons within the vehicle, such as a driver or other passengers. Based on the detected characteristics, an activity of the person can be determined and various operations can be initiated based on the activity, such as initiating a warning when the driver is not paying attention to driving or automatically slowing down the vehicle. In some cases, the radar-based object detection component can also be implemented to detect characteristics of objects positioned external to the vehicle, such as pedestrians, other vehicles, or objects in the road. The radar-based object detection component may also be implemented to authenticate a driver of the vehicle, such as by detecting biometric characteristics of the driver or recognizing a series of gestures corresponding to an authentication sequence.

    Gesture component with gesture library
    5.
    发明授权
    Gesture component with gesture library 有权

    公开(公告)号：US10379621B2

    公开(公告)日：2019-08-13

    申请号：US15286152

    申请日：2016-10-05

    Applicant: Google Inc.

    Inventor： Carsten C. Schwesig ,  Ivan Poupyrev

    IPC: G01S7/41 ,  G01S13/56 ,  G06F1/16 ,  G06F3/01 ,  G06K9/62 ,  G01S13/86 ,  G06F16/245 ,  G06K9/00 ,  H04Q9/00 ,  G08C17/02 ,  G06F3/0484

    Abstract: A gesture component with a gesture library is described. The gesture component is configured to expose operations for execution by application of a computing device based on detected gestures. In one example, an input is detected using a three dimensional object detection system of a gesture component of the computing device. A gesture is recognized by the gesture component based on the detected input through comparison with a library of gestures maintained by the gesture component. An operation is then recognized that corresponds to the gesture by the gesture component using the library of gestures. The operation is exposed by the gesture component via an application programming interface to at least one application executed by the computing device to control performance of the operation by the at least one application.

    Gesture Detection Haptics and Virtual Tools
    6.
    发明申请
    Gesture Detection Haptics and Virtual Tools 审中-公开
    手势检测触觉和虚拟工具

    公开(公告)号：US20160349845A1

    公开(公告)日：2016-12-01

    申请号：US15166198

    申请日：2016-05-26

    Applicant: Google Inc.

    Inventor： Ivan Poupyrev ,  Timo Arnall ,  Carsten C. Schwesig ,  Jack Schulze

    IPC: G06F3/01 ,  G06F3/0485 ,  G06F3/0484 ,  G06F3/0488 ,  G06F3/0481

    CPC classification number: G06F3/016 ,  G06F3/017 ,  G06F3/04815 ,  G06F3/04842 ,  G06F3/04845 ,  G06F3/0485 ,  G06F3/04886

    Abstract: Gesture detection haptics and virtual tools are described. In one example, movements are detected that involve contact in three-dimensional space, such as through use of radio waves, camera based techniques, and so forth. The contact provides haptic feedback to the user as part of making the movements. In another example, movements are detected that are used to both identify a virtual tool and a gesture that corresponds to the virtual tool. From these movements, gestures are identified that are used to initiate operations of a computing device.

    Abstract translation: 描述手势检测触觉和虚拟工具。 在一个示例中，检测涉及三维空间中的接触的运动，例如通过使用无线电波，基于摄像机的技术等。 联系人提供触觉反馈给用户作为进行动作的一部分。 在另一示例中，检测到用于识别虚拟工具和对应于虚拟工具的手势的运动。 从这些移动中，识别用于启动计算设备的操作的手势。

    Interactive fabric
    7.
    发明授权
    Interactive fabric 有权

    公开(公告)号：US10285456B2

    公开(公告)日：2019-05-14

    申请号：US15595649

    申请日：2017-05-15

    Applicant: Google Inc.

    Inventor： Ivan Poupyrev ,  Carsten C. Schwesig ,  Mustafa Emre Karagozler ,  Hakim K. Raja ,  David Scott Allmon ,  Gerard George Pallipuram ,  Shiho Fukuhara ,  Nan-Wei Gong

    IPC: A41D1/00 ,  D02G3/12 ,  D03D1/00 ,  G06F3/041 ,  G06F3/044 ,  G06F3/0488 ,  G06F1/16

    Abstract: This document describes techniques using, and objects embodying, an interactive fabric which is configured to sense user interactions in the form of single or multi-touch-input (e.g., gestures). The interactive fabric may be integrated into a wearable interactive garment (e.g., a jacket, shirt, or pants) that is coupled (e.g., via a wired or wireless connection) to a gesture manager. The gesture manager may be implemented at the interactive garment, or remote from the interactive garment, such as at a computing device that is wirelessly paired with the interactive garment and/or at a remote cloud based service. Generally, the gesture manager recognizes user interactions to the interactive fabric, and in response, triggers various different types of functionality, such as answering a phone call, sending a text message, creating a journal entry, and so forth.

    Radar-based contextual sensing
    8.
    发明授权
    Radar-based contextual sensing 有权

    公开(公告)号：US10222469B1

    公开(公告)日：2019-03-05

    申请号：US15287200

    申请日：2016-10-06

    Applicant: Google Inc.

    Inventor： Nicholas Edward Gillian ,  Carsten C. Schwesig ,  Jaime Lien ,  Patrick M. Amihood ,  Ivan Poupyrev

    IPC: G01S13/90 ,  G01S13/86 ,  G06F21/62 ,  G06F3/16 ,  G06T7/00 ,  G06F3/0346 ,  G01S13/93 ,  G01S19/42

    Abstract: This document describes apparatuses and techniques for radar-based contextual sensing. In some aspects, a radar sensor of a device is activated to obtain radar data for a space of interest. Three-dimensional (3D) radar features are extracted from the radar data and positional data is received from sensors. Based on the positional data, spatial relation of the 3D radar features is determined to generate a set of 3D landmarks for the space. This set of 3D landmarks is then compared with known 3D context models to identify a 3D context model that matches the 3D landmarks. Based on a matching 3D context model, a context for the space is retrieved and used to configure contextual settings of the device. By so doing, contextual settings of the device be dynamically configured to address changes in context or for different device environments.

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