Method and apparatus for estimating location of pedestrian using step length estimation model parameters
    6.
    发明授权
    Method and apparatus for estimating location of pedestrian using step length estimation model parameters 有权
    使用步长估计模型参数估计行人位置的方法和装置

    公开(公告)号:US09526082B2

    公开(公告)日:2016-12-20

    申请号:US13843749

    申请日:2013-03-15

    CPC classification number: H04W64/00 G01C21/165 G01C22/006 G01S5/0257

    Abstract: Disclosed herein is a method and apparatus for estimating the location of a pedestrian using step length estimation model parameters. In the method of estimating a location of a pedestrian according to the present invention, mobile User Equipment (UE) having sensors generates positioning measurement information. The mobile UE requests positioning assistance information from a positioning server. The positioning server generates the positioning assistance information. The positioning server provides the positioning assistance information to the mobile UE. The mobile UE performs location estimation of the pedestrian using the positioning measurement information and the positioning assistance information.

    Abstract translation: 本文公开了一种使用步长估计模型参数来估计行人位置的方法和装置。 在根据本发明的估计行人位置的方法中,具有传感器的移动用户设备(UE)产生定位测量信息。 移动UE从定位服务器请求定位辅助信息。 定位服务器生成定位辅助信息。 定位服务器向移动UE提供定位辅助信息。 移动UE使用定位测量信息和定位辅助信息来执行行人的位置估计。

    Location estimation apparatus and method using combination of different positioning resources

    公开(公告)号:US10123176B2

    公开(公告)日:2018-11-06

    申请号:US15401585

    申请日:2017-01-09

    Abstract: Disclosed herein are a location estimation apparatus and method using a combination of different positioning resources. The location estimation apparatus includes a motion model generation unit for generating a motion model corresponding to a state variable of a terminal based on a current time, a weight calculation unit for extracting a dynamic location database (DB) from a location DB based on multiple pieces of measurement information received from the terminal, and calculating a weight proportional to a likelihood of the multiple pieces of measurement information based on the dynamic location DB, and a location estimation unit for estimating a location and direction of the terminal by applying the weight to at least one sample value corresponding to the motion model.

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