METHOD FOR MOBILE DEVICE-BASED COOPERATIVE DATA CAPTURE

    公开(公告)号:US20200213825A1

    公开(公告)日:2020-07-02

    申请号:US16814444

    申请日:2020-03-10

    Applicant: Zendrive, Inc.

    Abstract: Embodiments of a method for improving movement characteristic determination using a plurality of mobile devices associated with a vehicle can include: collecting a first movement dataset corresponding to at least one of a first location sensor and a first motion sensor of a first mobile device of the plurality of mobile devices; collecting a second movement dataset corresponding to at least one of a second location sensor and a second motion sensor of a second mobile device of the plurality of mobile devices; determining satisfaction of a device association condition indicative of the first and the second mobile devices as associated with the vehicle, based on the first and the second movement datasets; and after determining the satisfaction of the device association condition, determining a vehicle movement characteristic based on the first and the second movement datasets.

    METHOD FOR ACCELEROMETER-ASSISTED NAVIGATION
    25.
    发明申请

    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.

Patent Agency Ranking