METHOD AND SYSTEM FOR SELECTIVELY INITIATING ACTIONS IN ACCORDANCE WITH A DRIVER RISK ANALYSIS

    公开(公告)号:US20240230355A9

    公开(公告)日:2024-07-11

    申请号:US18379495

    申请日:2023-10-12

    Applicant: Zendrive, Inc.

    CPC classification number: G01C21/3484 G01C21/3438

    Abstract: A system for driver risk analysis includes and/or interfaces with: a processing subsystem, a set of sensors, and a set of models and/or algorithms. Additionally or alternatively, the system can include and/or interface with any or all of: a software platform, a set of client applications, a set of user devices, and/or any other components. A method for driver risk analysis can include any or all of: collecting a set of data; analyzing the set of data to determine a set of features; analyzing the set of data to produce a set of driver risk outputs; and triggering a set of actions based on the set of driver risk outputs. Additionally or alternatively, the method can include any or all of: determining eligibility criteria associated with a set of end entities; modifying any or all of the collection of data and/or the analysis of data and/or the driver risk outputs based on the eligibility criteria; training and/or updating a set of models and/or algorithms; and/or any other processes.

    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.

    METHOD AND SYSTEM FOR SELECTIVELY INITIATING ACTIONS IN ACCORDANCE WITH A DRIVER RISK ANALYSIS

    公开(公告)号:US20240133702A1

    公开(公告)日:2024-04-25

    申请号:US18379495

    申请日:2023-10-11

    Applicant: Zendrive, Inc.

    CPC classification number: G01C21/3484 G01C21/3438

    Abstract: A system for driver risk analysis includes and/or interfaces with: a processing subsystem, a set of sensors, and a set of models and/or algorithms. Additionally or alternatively, the system can include and/or interface with any or all of: a software platform, a set of client applications, a set of user devices, and/or any other components. A method for driver risk analysis can include any or all of: collecting a set of data; analyzing the set of data to determine a set of features; analyzing the set of data to produce a set of driver risk outputs; and triggering a set of actions based on the set of driver risk outputs. Additionally or alternatively, the method can include any or all of: determining eligibility criteria associated with a set of end entities; modifying any or all of the collection of data and/or the analysis of data and/or the driver risk outputs based on the eligibility criteria; training and/or updating a set of models and/or algorithms; and/or any other processes.

    SYSTEM AND/OR METHOD FOR VEHICLE TRIP CLASSIFICATION

    公开(公告)号:US20230134342A1

    公开(公告)日:2023-05-04

    申请号:US17959067

    申请日:2022-10-03

    Applicant: Zendrive, Inc.

    Abstract: The system can include a plurality of data processing modules, which can include: a feature generation module, a scoring module, an optional decision module, an optional trip detection module, and/or any other suitable data processing modules. The system can optionally include a mobile device (e.g., such as a mobile cellular telephone, user device, etc.) and/or can be used in conjunction with a mobile device (e.g., receive data from an application executing at the mobile device and/or utilize mobile device processing, etc.). The system can function to classify a vehicular transportation modality (e.g., motorcycle transportation) for a vehicle trip.

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