SYSTEMS AND METHODS FOR TRAINING IMAGE PROCESSING MODELS FOR VEHICLE DATA COLLECTION

    公开(公告)号:US20220300759A1

    公开(公告)日:2022-09-22

    申请号:US17205961

    申请日:2021-03-18

    Applicant: Geotab Inc.

    Abstract: Systems and methods for training image processing models for vehicle data collection by image analysis are provided. An example method involves accessing an image of a field of interest in a vehicle captured by a camera in the vehicle, providing a user interface to, display the image, receive input that defines a region of interest in the image that is expected to convey vehicle information, and receive input that assigns a label to the region of interest that associates the region of interest with an image processing model that is to be trained to extract a type of vehicle information from the region of interest, and contributing the image, labelled with the region of interest and the label associating the region of interest to the image processing model, to a training data library to train the image processing model.

    Systems for detecting vehicle following distance

    公开(公告)号:US12162509B2

    公开(公告)日:2024-12-10

    申请号:US18620408

    申请日:2024-03-28

    Applicant: Geotab Inc.

    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 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. Following distance over time is determined, and simplified following distance data is generated for use at a management device.

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