Method and system for risk modeling in autonomous vehicles

    公开(公告)号:US10012993B1

    公开(公告)日:2018-07-03

    申请号:US15835284

    申请日:2017-12-07

    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 MOBILE DEVICE-BASED COOPERATIVE DATA CAPTURE

    公开(公告)号:US20180077538A1

    公开(公告)日:2018-03-15

    申请号:US15702601

    申请日:2017-09-12

    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:US11927447B2

    公开(公告)日:2024-03-12

    申请号:US17360769

    申请日:2021-06-28

    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:US20210325187A1

    公开(公告)日:2021-10-21

    申请号:US17360769

    申请日:2021-06-28

    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 vehicle-related driver characteristic determination

    公开(公告)号:US11151813B2

    公开(公告)日:2021-10-19

    申请号:US16022120

    申请日:2018-06-28

    Applicant: Zendrive, Inc.

    Abstract: A method for characterizing a user associated with a vehicle including collecting a movement dataset sampled at least at one of a location sensor and a motion sensor associated with the vehicle, during a time period associated with movement of the vehicle; extracting a set of movement features associated with movement of at least one of the user and the vehicle during the time period; and determining one or more user characteristics describing the user based on the set of movement features, wherein the one or more user characteristics include a classification of the user as at least one of a passenger and a driver for the time period associated with movement of the vehicle.

    METHOD AND SYSTEM FOR DETERMINING TRAFFIC-RELATED CHARACTERISTICS

    公开(公告)号:US20210304593A1

    公开(公告)日:2021-09-30

    申请号:US17345411

    申请日:2021-06-11

    Applicant: Zendrive, Inc.

    Abstract: A method for traffic characterization associated with a vehicle including collecting a movement dataset sampled at least at one of a location sensor and a motion sensor associated with the vehicle, during a driving session associated with movement of the vehicle; extracting a set of features from the movement dataset associated with movement of the vehicle during the driving session; and determining one or more traffic-related characteristics associated with the vehicle based on the set of features.

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