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    SYSTEMS AND METHODS FOR IDENTIFYING TAILGATING
    2.
    发明公开
    SYSTEMS AND METHODS FOR IDENTIFYING TAILGATING 审中-公开

    公开(公告)号：US20240331399A1

    公开(公告)日：2024-10-03

    申请号：US18133835

    申请日：2023-04-12

    Applicant: Geotab Inc.

    Inventor： Joy Mazumder ,  Shashank Saurav ,  Javed Siddique ,  Mohammed Sohail Siddique

    IPC: G06V20/58 ,  G06V10/44

    CPC classification number: G06V20/58 ,  G06V10/44

    Abstract: Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used to in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior.

    SYSTEMS, DEVICES, AND METHODS FOR SYNCHRONIZING DATA FROM ASYNCHRONOUS SOURCES
    5.
    发明公开
    SYSTEMS, DEVICES, AND METHODS FOR SYNCHRONIZING DATA FROM ASYNCHRONOUS SOURCES 审中-公开

    公开(公告)号：US20240275917A1

    公开(公告)日：2024-08-15

    申请号：US18420976

    申请日：2024-01-24

    Applicant: Geotab Inc.

    Inventor： William John Ballantyne ,  Javed Siddique ,  Willem Petersen

    IPC: H04N7/01

    CPC classification number: H04N7/0127 ,  H04N7/0135

    Abstract: A synchronized data set is generated from multiple asynchronous data sets. An interpolated data set is generated for each asynchronous data set, at a higher data rate than recorded data rates for the asynchronous data sets. The interpolated data for each data set is then sampled at a lower data rate which is common to all the interpolated data sets. The sampled data points are synchronized between the different data sets, such that the sampled data points represent a synchronized data set. Input telematic data can be reduced to inflection points in the telematic data, and interpolation and sampling of asynchronous data sets can be limited to threshold time periods around the inflection points.

    AI-based input output expansion adapter for a telematics device and methods for updating an AI model thereon
    6.
    发明授权
    AI-based input output expansion adapter for a telematics device and methods for updating an AI model thereon 有权

    公开(公告)号：US11693920B2

    公开(公告)日：2023-07-04

    申请号：US17714570

    申请日：2022-04-06

    Applicant: Geotab Inc.

    Inventor： William John Ballantyne ,  Javed Siddique

    IPC: G05B13/02 ,  G06N3/08

    CPC classification number: G05B13/0265 ,  G06N3/08

    Abstract: Systems and methods by a telematics server are provided. The method includes receiving, over a network, training data including model input data and a known output label corresponding to the model input data from a first device, training a centralized machine-learning model using the training data, determining, by the centralized machine-learning model, an output label prediction certainty based on the model input data, determining an increase in the output label prediction certainty over a prior predicted output label certainty of the centralized machine-learning model, and sending, over the network, a machine-learning model update to a second device in response to determining that the increase in the output label prediction certainty is greater than an output label prediction increase threshold.

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