METHOD FOR ACCELEROMETER-ASSISTED NAVIGATION

    公开(公告)号:US20170314929A1

    公开(公告)日:2017-11-02

    申请号:US15652558

    申请日:2017-07-18

    Applicant: Zendrive, Inc.

    CPC classification number: G01C21/165 G01C21/30

    Abstract: A method for primarily sensor-based navigation includes: in a first time period, collecting geophysical position data using a GPS receiver of a navigation device; in the first time period, collecting a first set of accelerometer data using an accelerometer of the navigation device; analyzing the first set of accelerometer data to produce a first set of vertical vehicular motion data; generating a mapping association between the first set of vertical vehicular motion data and the geophysical position data; in a second time period after the first time period, collecting a second set of accelerometer data using the accelerometer; analyzing the second set of accelerometer data to produce a second set of vertical vehicular motion data; and calculating an estimated location of the vehicle by analyzing the second set of vertical vehicular motion data in light of the mapping association.

    Method for accelerometer-assisted navigation

    公开(公告)号:US11079235B2

    公开(公告)日:2021-08-03

    申请号:US16240183

    申请日:2019-01-04

    Applicant: Zendrive, Inc.

    Abstract: A method for primarily sensor-based navigation includes: in a first time period, collecting geophysical position data using a GPS receiver of a navigation device; in the first time period, collecting a first set of accelerometer data using an accelerometer of the navigation device; analyzing the first set of accelerometer data to produce a first set of vertical vehicular motion data; generating a mapping association between the first set of vertical vehicular motion data and the geophysical position data; in a second time period after the first time period, collecting a second set of accelerometer data using the accelerometer; analyzing the second set of accelerometer data to produce a second set of vertical vehicular motion data; and calculating an estimated location of the vehicle by analyzing the second set of vertical vehicular motion data in light of the mapping association.

    METHOD FOR ACCELEROMETER-ASSISTED NAVIGATION

    公开(公告)号:US20190137275A1

    公开(公告)日:2019-05-09

    申请号:US16240183

    申请日:2019-01-04

    Applicant: Zendrive, Inc.

    Abstract: A method for primarily sensor-based navigation includes: in a first time period, collecting geophysical position data using a GPS receiver of a navigation device; in the first time period, collecting a first set of accelerometer data using an accelerometer of the navigation device; analyzing the first set of accelerometer data to produce a first set of vertical vehicular motion data; generating a mapping association between the first set of vertical vehicular motion data and the geophysical position data; in a second time period after the first time period, collecting a second set of accelerometer data using the accelerometer; analyzing the second set of accelerometer data to produce a second set of vertical vehicular motion data; and calculating an estimated location of the vehicle by analyzing the second set of vertical vehicular motion data in light of the mapping association.

    Method for accelerometer-assisted navigation

    公开(公告)号:US10209077B2

    公开(公告)日:2019-02-19

    申请号:US15652558

    申请日:2017-07-18

    Applicant: Zendrive, Inc.

    Abstract: A method for primarily sensor-based navigation includes: in a first time period, collecting geophysical position data using a GPS receiver of a navigation device; in the first time period, collecting a first set of accelerometer data using an accelerometer of the navigation device; analyzing the first set of accelerometer data to produce a first set of vertical vehicular motion data; generating a mapping association between the first set of vertical vehicular motion data and the geophysical position data; in a second time period after the first time period, collecting a second set of accelerometer data using the accelerometer; analyzing the second set of accelerometer data to produce a second set of vertical vehicular motion data; and calculating an estimated location of the vehicle by analyzing the second set of vertical vehicular motion data in light of the mapping association.

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