INERTIAL MEASUREMENT UNIT FOR ELECTRONIC DEVICES
    13.
    发明申请
    INERTIAL MEASUREMENT UNIT FOR ELECTRONIC DEVICES 审中-公开
    电子设备的惯性测量单元

    公开(公告)号:US20170010126A1

    公开(公告)日:2017-01-12

    申请号:US15119251

    申请日:2014-03-31

    CPC classification number: G01C25/00 G01C21/16 G01C21/165

    Abstract: In one example an inertial measurement unit comprises an autocalibration module to compute a covariance matrix from data received from a plurality of sensors, an adaptive weight control module to determine state-based feedback parameters for the gyroscope sensor, accelerometer sensor, and magnetometer sensor, and a sensor characteristic adjustment module to determine a modified covariance matrix based on an input from the adaptive weight control module. Other examples may be described.

    Abstract translation: 在一个示例中,惯性测量单元包括自动校准模块,用于根据从多个传感器接收的数据计算协方差矩阵;自适应加权控制模块,用于确定陀螺仪传感器,加速度计传感器和磁力计传感器的基于状态的反馈参数;以及 传感器特性调整模块,用于基于来自所述自适应加权控制模块的输入来确定修正的协方差矩阵。 可以描述其他示例。

    Heading estimation for determining a user's location

    公开(公告)号:US10852140B2

    公开(公告)日:2020-12-01

    申请号:US16200758

    申请日:2018-11-27

    Abstract: Technologies for determining a user's location by a mobile computing device include detecting, based on sensed inertial characteristics of the mobile computing device, that a user of the mobile computing device has taken a physical step in a direction. The mobile computing device determines a directional heading of the mobile computing device in the direction and a variation of an orientation of the mobile computing device relative to a previous orientation of the mobile computing device at a previous physical step of the user based on the sensed inertial characteristics. The mobile computing device further applies a Kalman filter to determine a heading of the user based on the determined directional heading of the mobile computing device and the variation of the orientation and determines an estimated location of the user based on the user's determined heading, an estimated step length of the user, and a previous location of the user at the previous physical step.

    HEADING ESTIMATION FOR DETERMINING A USER'S LOCATION

    公开(公告)号:US20180058855A1

    公开(公告)日:2018-03-01

    申请号:US15797646

    申请日:2017-10-30

    CPC classification number: G01C21/16

    Abstract: Technologies for determining a user's location by a mobile computing device include detecting, based on sensed inertial characteristics of the mobile computing device, that a user of the mobile computing device has taken a physical step in a direction. The mobile computing device determines a directional heading of the mobile computing device in the direction and a variation of an orientation of the mobile computing device relative to a previous orientation of the mobile computing device at a previous physical step of the user based on the sensed inertial characteristics. The mobile computing device further applies a Kalman filter to determine a heading of the user based on the determined directional heading of the mobile computing device and the variation of the orientation and determines an estimated location of the user based on the user's determined heading, an estimated step length of the user, and a previous location of the user at the previous physical step.

    Mobile device positioning system
    18.
    发明授权
    Mobile device positioning system 有权
    移动设备定位系统

    公开(公告)号:US09288629B2

    公开(公告)日:2016-03-15

    申请号:US13977021

    申请日:2013-03-18

    CPC classification number: H04W4/028 H04W4/026 H04W4/029 H04W64/00 H04W64/006

    Abstract: Techniques for predicting a future location of a mobile device are included herein in which a previous location of the mobile device can be detected. Additionally, a current location of the mobile device can be detected. Furthermore, the future location of the mobile device can be predicted based at least in part on the previous location of the mobile device, the current location of the mobile device, and a location history.

    Abstract translation: 这里包括用于预测移动设备的未来位置的技术,其中可以检测移动设备的先前位置。 此外,可以检测移动设备的当前位置。 此外,可以至少部分地基于移动设备的先前位置,移动设备的当前位置和位置历史来预测移动设备的未来位置。

    Techniques for interactive image segmentation networks

    公开(公告)号:US12112482B2

    公开(公告)日:2024-10-08

    申请号:US17161139

    申请日:2021-01-28

    CPC classification number: G06T7/11 G06N3/045 G06T2207/20081 G06T2207/20084

    Abstract: Various embodiments are generally directed to techniques for image segmentation utilizing context, such as with a machine learning (ML) model that injects context into various training stages. Many embodiments utilize one or more of an encoder-decoder model topology and select criteria and parameters in hyper-parameter optimization (HPO) to conduct the best model neural architecture search (NAS). Some embodiments are particularly directed to resizing context frames to a resolution that corresponds with a particular stage of decoding. In several embodiments, the context frames are concatenated with one or more of data from a previous decoding stage and data from a corresponding encoding stage prior to being provided as input to a next decoding stage.

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