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公开(公告)号:US11651599B2
公开(公告)日:2023-05-16
申请号:US16947780
申请日:2020-08-17
Applicant: Verizon Connect Development Limited
Inventor: Douglas Coimbra De Andrade , Andrea Benericetti , Aurel Pjetri , Leonardo Taccari , Francesco Sambo , Alex Quintero Garcia , Luca Bravi
CPC classification number: G06V20/59 , B60W40/09 , B60W50/14 , G06N20/00 , G06T7/10 , G06V20/40 , G06V40/172 , B60W2540/229 , G06T2207/20081 , G06T2207/20132 , G06T2207/30201
Abstract: A device may process the video data, with a first machine learning model, to identify a driver of a vehicle and may process the video data associated with the driver, with a second machine learning model, to detect behavior data identifying a behavior of the driver. The device may process the behavior data, with a third machine learning model, to determine distraction data identifying whether the behavior is classified as a distracted behavior. The device may process the behavior data, with a fourth machine learning model, to determine policy compliance data identifying whether the behavior satisfies one or more policies. The device may calculate a distraction score based on the distraction data and the video data, and may calculate a policy compliance score based on the policy compliance data and vehicle data. The device may perform one or more actions based on the distraction score and the policy compliance score.
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公开(公告)号:US11651195B2
公开(公告)日:2023-05-16
申请号:US17008398
申请日:2020-08-31
Applicant: Verizon Connect Development Limited
Inventor: Douglas Coimbra De Andrade , Leonardo Taccari
IPC: G06F18/211 , G06N3/045 , G06N3/08 , G06F18/22 , G06F18/214
CPC classification number: G06N3/045 , G06F18/211 , G06F18/214 , G06F18/22 , G06N3/08
Abstract: A device may receive an image. The device may utilize an episodic memory to determine a first classification associated with the image. The device may utilize a semantic memory to determine a second classification associated with the image. The device may determine an accuracy associated with utilizing the semantic memory to determine the second classification. The device may determine that the image is associated with the first classification when the accuracy fails to satisfy a threshold accuracy. The device may determine that the image is associated with the second classification when the accuracy satisfies the threshold accuracy.
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公开(公告)号:US11514276B2
公开(公告)日:2022-11-29
申请号:US17174768
申请日:2021-02-12
Applicant: Verizon Connect Development Limited
Inventor: Samuele Salti , Francesco Sambo , Leonardo Taccari , Luca Bravi , Alessandro Lori
Abstract: A method and system for identifying recurrent stops of a vehicle fleet having a plurality of vehicles. The method comprises retrieving historical GPS tracks of the vehicle fleet over a period of time; detecting stops made by the vehicle fleet along travelled routes that are associated with the historical GPS tracks; constructing a coverage area that covers the travelled routes; discretizing the coverage area into a plurality of cells; determining whether a cell is a recurrent stop based on a fleet stay period associated with that cell; and classifying a determined recurrent stop into a plurality of categories.
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公开(公告)号:US20220084395A1
公开(公告)日:2022-03-17
申请号:US17456405
申请日:2021-11-24
Applicant: VERIZON CONNECT DEVELOPMENT LIMITED
Inventor: Samuele SALTI , Francesco SAMBO , Leonardo TACCARI , Luca BRAVI , Matteo SIMONCINI , Alessandro LORI
Abstract: A method and system for classifying a vehicle based on low frequency GPS tracks. The method and system comprise retrieving a low frequency GPS track having a sampling interval of at least 20 seconds; deriving additional data from the low frequency GPS track, the additional data including interval speed and instantaneous acceleration of the vehicle; extracting a plurality of data sets from the low frequency GPS track and the additional data; generating a plurality of features from the extracted data sets; and providing the plurality of generated features to a classifier that classifies the vehicle into a predetermined class.
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55.
公开(公告)号:US20210366144A1
公开(公告)日:2021-11-25
申请号:US17001166
申请日:2020-08-24
Applicant: Verizon Connect Development Limited
Inventor: Simone MAGISTRI , Francesco SAMBO , Douglas COIMBRA DE ANDRADE , Fabio SCHOEN , Matteo SIMONCINI , Luca BRAVI , Stefano CAPRASECCA , Luca KUBIN , Leonardo TACCARI
Abstract: A device may receive a first image. The device may process the first image to identify an object in the first image and a location of the object within the first image. The device may extract a second image from the first image based on the location of the object within the first image. The device may process the second image to determine at least one of a coarse-grained viewpoint estimate or a fine-grained viewpoint estimate associated with the object. The device may determine an object viewpoint associated with the second vehicle based on the at least one of the coarse-grained viewpoint estimate or the fine-grained viewpoint estimate. The device may perform one or more actions based on the object viewpoint.
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公开(公告)号:US20210354704A1
公开(公告)日:2021-11-18
申请号:US16947918
申请日:2020-08-24
Applicant: Verizon Connect Development Limited
Inventor: Matteo SIMONCINI , Douglas COIMBRA DE ANDRADE , Samuele SALTI , Leonardo TACCARI , Fabio SCHOEN , Francesco SAMBO , Leonardo SARTI
Abstract: A maneuver classification platform may obtain video data and telematic data that are associated with a driving event involving a vehicle. The maneuver classification platform may analyze the video data to identify a path of the vehicle along a roadway during the driving event, and based on markings of a plurality of roadways. The maneuver classification platform may analyze the video data to determine a type of a vehicle maneuver performed by the vehicle during the driving event. The maneuver classification platform may determine a maneuver score of the driving event based on the type of the vehicle maneuver, the path of the vehicle, and the telematic data. The maneuver classification platform may send a message associated with the maneuver score and a vehicle identifier of the vehicle to a client device to permit the client device to use the maneuver score.
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