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公开(公告)号:US20240412392A1
公开(公告)日:2024-12-12
申请号:US18808429
申请日:2024-08-19
Applicant: Geotab Inc.
Inventor: Cristian Florin Ivascu , Joy Mazumder , Shashank Saurav , Javed Siddique , Mohammed Sohail Siddique , Donghao Qiao
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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公开(公告)号:US20240331402A1
公开(公告)日:2024-10-03
申请号:US18620520
申请日:2024-03-28
Applicant: Geotab Inc.
Inventor: Joy Mazumder , Shashank Saurav , Javed Siddique , Mohammed Sohail Siddique
IPC: G06V20/58 , G06T7/73 , G06V10/774
CPC classification number: G06V20/58 , G06T7/73 , G06V10/774 , G06T2207/20081 , G06T2207/30252
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.
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公开(公告)号:US20240331398A1
公开(公告)日:2024-10-03
申请号:US18133752
申请日:2023-04-12
Applicant: Geotab Inc.
Inventor: Joy Mazumder , Shashank Saurav , Javed Siddique , Mohammed Sohail Siddique
CPC classification number: G06V20/58 , G06T7/73 , G06T2207/20081 , G06T2207/30252
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.
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公开(公告)号:US11800065B2
公开(公告)日:2023-10-24
申请号:US17890550
申请日:2022-08-18
Applicant: Geotab Inc.
Inventor: William John Ballantyne , Javed Siddique
IPC: H04B7/185 , H04N7/18 , G06V20/52 , G06V20/56 , G01C21/36 , G06F3/04842 , G06F3/04847
CPC classification number: H04N7/181 , G01C21/3614 , G01C21/3667 , G06V20/52 , G06V20/56 , G06F3/04842 , G06F3/04847
Abstract: Detection models are distributed as needed to a select subset of image capture devices, based on geographic location and time of the image capture devices. Each image capture device which receives a model processes image data according to the model, and provides a notification of any detected instances of an event the model is trained to detect. Distribution and detection can be based on historical data or live data.
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公开(公告)号:US20220301322A1
公开(公告)日:2022-09-22
申请号:US17553264
申请日:2021-12-16
Applicant: Geotab Inc.
IPC: G06V20/59 , G06V10/22 , G06V10/774 , G06V20/70 , G06V10/74 , G06V10/75 , G06V10/94 , G06V10/70 , H04N7/18 , B60R25/30 , G07C5/00
Abstract: Methods for vehicle data collection by image analysis are provided. An example method involves positioning a camera in a vehicle to be pointed toward a field of interest in the vehicle, capturing an image of the field of interest with the camera, identifying a region of interest in the image that is expected to convey vehicle information, and running an image processing model over the region of interest to extract vehicle information from the image.
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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.
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公开(公告)号:US20220300747A1
公开(公告)日:2022-09-22
申请号:US17205908
申请日:2021-03-18
Applicant: Geotab Inc.
Abstract: Systems and methods for vehicle data collection by image analysis are provided. An example method involves positioning a camera in a vehicle to be pointed toward a field of interest in the vehicle, capturing an image of the field of interest with the camera, identifying a region of interest in the image that is expected to convey vehicle information, and running an image processing model over the region of interest to extract vehicle information from the image.
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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.
Inventor: Joy Mazumder , Shashank Saurav , Javed Siddique , Mohammed Sohail Siddique , Donghao Qiao
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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公开(公告)号:US20240336275A1
公开(公告)日:2024-10-10
申请号:US18620408
申请日:2024-03-28
Applicant: Geotab Inc.
Inventor: Joy Mazumder , Shashank Saurav , Javed Siddique , Mohammed Sohail Siddique , Donghao Qiao
CPC classification number: B60W50/14 , B60W30/16 , G06V10/25 , G06V10/753 , G06V20/58 , G06V20/588 , B60W2050/143 , B60W2050/146 , B60W2420/403 , B60W2552/53 , B60W2554/802
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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公开(公告)号:US20240015265A1
公开(公告)日:2024-01-11
申请号:US18370050
申请日:2023-09-19
Applicant: Geotab Inc.
Inventor: William John Ballantyne , Javed Siddique
CPC classification number: H04N7/181 , G06V20/52 , G06V20/56 , G01C21/3614 , G01C21/3667 , G06F3/04842
Abstract: Detection models are distributed as needed to a select subset of image capture devices, based on geographic location and time of the image capture devices. Each image capture device which receives a model processes image data according to the model, and provides a notification of any detected instances of an event the model is trained to detect. Distribution and detection can be based on historical data or live data.
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