METHOD AND SYSTEM FOR RISK MODELING IN AUTONOMOUS VEHICLES

    公开(公告)号:US20180292835A1

    公开(公告)日:2018-10-11

    申请号:US16000675

    申请日:2018-06-05

    Applicant: Zendrive, Inc.

    Abstract: A method for adaptive risk modeling for an autonomous vehicle, the method comprising: retrieving parameters of an identified driving mission of the autonomous vehicle; in response to the parameters of the identified driving mission, generating values of: a comparative autonomous parameter, a mix model parameter, a surrounding risk parameter, a geographic operation parameter, and a security risk parameter upon evaluating situational inputs associated with the identified driving mission with a comparative autonomous model, a mix model, a sensor-surrounding model, a geography-dependent model, and a security risk model generated using sensor and supplementary data extraction systems associated with the autonomous vehicle; upon generating values, generating a risk analysis with a rule-based algorithm; and contemporaneously with execution of the identified driving mission, implementing a response action associated with control of the autonomous vehicle, based upon the risk analysis.

    METHOD FOR ACCELEROMETER-ASSISTED NAVIGATION
    13.
    发明申请

    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 MOBILE DEVICE-BASED COOPERATIVE DATA CAPTURE

    公开(公告)号:US20230254673A1

    公开(公告)日:2023-08-10

    申请号:US18135597

    申请日:2023-04-17

    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

    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 AND SYSTEM FOR VEHICULAR COLLISION RECONSTRUCTION

    公开(公告)号:US20210225094A1

    公开(公告)日:2021-07-22

    申请号:US17222406

    申请日:2021-04-05

    Applicant: Zendrive, Inc.

    Abstract: A system for accident reconstruction can include and/or be configured to interface with any or all of: a set of models, a set of modules, a processing system, client application, a user device (equivalently referred to herein as a mobile device), a set of sensors, a vehicle, and/or any other suitable components. A method for accident reconstruction includes collecting a set of inputs; detecting a collision and/or one or more features of the collision; reconstructing the collision; and producing an output based on the reconstruction. Additionally or alternatively, the method can include training a set of models and/or modules, and/or any other suitable processes.

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