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公开(公告)号：US20230252800A1
公开(公告)日：2023-08-10
申请号：US18302979
申请日：2023-04-19
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 , G06T7/10 , B60W40/09 , G06N20/00 , B60W50/14 , G06V20/40 , G06V40/172 , G06T2207/20081 , B60W2540/229 , 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：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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3.发明申请公开(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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4.发明申请公开(公告)号：US20230102113A1
公开(公告)日：2023-03-30
申请号：US18061124
申请日：2022-12-02
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：US20220135027A1
公开(公告)日：2022-05-05
申请号：US16949441
申请日：2020-10-29
Applicant: Verizon Connect Development Limited
Inventor： Luca BRAVI , Luca KUBIN , Leonardo SARTI , Leonardo TACCARI , Francesco SAMBO
Abstract: In some implementations, a device may receive video data associated with video frames that depict an environment of a vehicle. The device may identify an object depicted in the video frames, wherein an object detection model indicates bounding boxes associated with the object. The device may determine, based on the bounding boxes, a configuration of the bounding boxes within the video frames. The device may determine, based on the configuration of the bounding boxes, that the object is a vulnerable road user (VRU) that is in the environment. The device may determine a trajectory of the VRU based on a change in the configuration between video frames of a set of the video frames. The device may determine, based on the trajectory, a probability of a collision between the VRU and the vehicle. The device may perform, based on the probability, an action associated with the vehicle.
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Patent Agency Ranking
公开(公告)号：US20240221358A1
公开(公告)日：2024-07-04
申请号：US18411527
申请日：2024-01-12
Applicant: Verizon Connect Development Limited
Inventor： Luca BRAVI , Luca KUBIN , Leonardo TACCARI , Francesco SAMBO , Matteo SIMONCINI , Douglas COIMBRA DE ANDRADE , Stefano CAPRASECCA
IPC: G06V10/764 , B60Q9/00 , G06F18/21 , G06F18/24 , G06N7/01 , G06N20/00 , G06T7/70 , G06V20/58 , G08G1/052 , B60R11/04 , G05D1/227
CPC classification number: G06V10/764 , B60Q9/00 , G06F18/21 , G06F18/24 , G06N7/01 , G06N20/00 , G06T7/70 , G06V20/582 , G08G1/052 , B60R11/04 , G05D1/227 , G06T2207/20084 , G06T2207/30252
Abstract: A system may determine, for each frame of a plurality of frames of image data associated with a vehicle, a probability that each frame of the plurality of frames that includes an image of a stop sign is relevant to the vehicle. The system may determine a longest sequence of consecutive frames of the plurality of frames for which the probability satisfies a probability threshold. The system may determine a maximum probability associated with a frame included in the longest sequence of consecutive frames. The system may determine a time window based on a time associated with the frame associated with the maximum probability. The system may determine location data and sensor data for the vehicle based on the time window. The system may determine an occurrence of a stop sign violation based on the location data and the sensor data.
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公开(公告)号：US20210390856A1
公开(公告)日：2021-12-16
申请号：US17446322
申请日：2021-08-30
Applicant: Verizon Connect Development Limited
Inventor： Luca BRAVI , Tommaso MUGNAI , Alessandro GIANNINI
IPC: G08G1/14 , G05D1/02 , G06N20/00 , G06F16/9537
Abstract: A device may receive geographical data identifying a geographical area, and may receive, from vehicle devices of vehicles, first vehicle data identifying engine off conditions, locations during engine off conditions, and durations of the engine off conditions. The device may divide, based on the geographical data, the geographical area into clusters with particular dimensions, and may process data identifying the clusters and the first vehicle data, with a machine learning model, to determine parking data identifying public parking spaces in the geographical area. The device may receive, from a set of the vehicle devices associated with vehicles parked in the public parking spaces, vehicle data identifying engine on conditions and locations during the engine on conditions, and may identify available public parking spaces based on the second vehicle data and the parking data. The device may perform one or more actions based on data identifying the available public parking spaces.
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公开(公告)号：US20210365700A1
公开(公告)日：2021-11-25
申请号：US17001161
申请日：2020-08-24
Applicant: Verizon Connect Development Limited
Inventor： Luca BRAVI , Luca KUBIN , Leonardo TACCARI , Francesco SAMBO , Matteo SIMONCINI , Douglas COIMBRA DE ANDRADE , Stefano CAPRASECCA
Abstract: A violation detection platform may obtain image data, location data, and sensor data associated with a vehicle. The violation detection platform may determine a probability that a frame of the image data includes an image of a stop sign. The violation detection platform may determine that the probability satisfies a probability threshold. The violation detection platform may identify location data and sensor data associated with the frame of the image data based on the probability satisfying the probability threshold. The violation detection platform may determine an occurrence of a type of a stop sign violation based on the probability, the location data, and the sensor data. The violation detection platform may perform one or more actions based on determining the occurrence of the type of the stop sign violation.
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公开(公告)号：US20230037099A1
公开(公告)日：2023-02-02
申请号：US17938764
申请日：2022-10-07
Applicant: Verizon Connect Development Limited
Inventor： Tommaso BIANCONCINI , Stefano CAPRASECCA , Tommaso MUGNAI , Luca BRAVI , Francesco SAMBO , Leonardo TACCARI
Abstract: A device may obtain video data associated with a driving event involving a first vehicle. The device may determine a vanishing point associated with the video data and may construct a cone of impact of the first vehicle based on the vanishing point. The device may detect a second vehicle within the cone of impact and may analyze the subset of video frames to determine a distance between the first vehicle and the second vehicle. The device may determine a speed of the first vehicle during a time period associated with a subset of video frames. The device may determine a headway score, representative of a severity associated with the first vehicle being within a proximity threshold of the second vehicle during the time period, based on the distance and the speed. The device may determine an occurrence of a tailgating event based on the headway score.
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公开(公告)号：US20220058400A1
公开(公告)日：2022-02-24
申请号：US17001139
申请日：2020-08-24
Applicant: VERIZON CONNECT DEVELOPMENT LIMITED
Inventor： Tommaso BIANCONCINI , Stefano CAPRASECCA , Tommaso MUGNAI , Luca BRAVI , Francesco SAMBO , Leonardo TACCARI
Abstract: A device may obtain video data associated with a driving event involving a first vehicle. The device may determine a vanishing point associated with the video data and may construct a cone of impact of the first vehicle based on the vanishing point. The device may detect a second vehicle within the cone of impact and may analyze the subset of video frames to determine a distance between the first vehicle and the second vehicle. The device may determine a speed of the first vehicle during a time period associated with a subset of video frames. The device may determine a headway score, representative of a severity associated with the first vehicle being within a proximity threshold of the second vehicle during the time period, based on the distance and the speed. The device may determine an occurrence of a tailgating event based on the headway score.
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