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公开(公告)号：US11654924B2
公开(公告)日：2023-05-23
申请号：US17820633
申请日：2022-08-18
Applicant: Verizon Connect Development Limited
Inventor： Matteo Simoncini , Douglas Coimbra De Andrade , Samuele Salti , Leonardo Taccari , Fabio Schoen , Francesco Sambo , Leonardo Sarti
CPC classification number: B60W40/09 , G06F21/35 , G06V20/588 , G07C5/008 , G07C5/0891 , G08G1/20 , B60W2540/30
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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公开(公告)号：US11900657B2
公开(公告)日：2024-02-13
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
IPC: G06V20/58 , G06V10/764 , G06T7/70 , G06N20/00 , B60Q9/00 , G08G1/052 , G06F18/21 , G06F18/24 , G06N7/01 , B60R11/04 , G05D1/00
CPC classification number: G06V10/764 , B60Q9/00 , G06F18/21 , G06F18/24 , G06N7/01 , G06N20/00 , G06T7/70 , G06V20/582 , G08G1/052 , B60R11/04 , G05D1/0061 , G06T2207/20084 , G06T2207/30252
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：US11966236B2
公开(公告)日：2024-04-23
申请号：US17247051
申请日：2020-11-25
Applicant: Verizon Connect Development Limited
Inventor： Valerio Arena , Francesco Sambo , Leonardo Sarti , Matteo Simoncini , Nicola Tommasi
IPC: G05D1/02 , G05D1/00 , G06N20/00 , G06Q10/0833 , G06Q10/0835 , G08G1/00 , G08G1/0967
CPC classification number: G05D1/0291 , G06N20/00 , G06Q10/0833 , G06Q10/08355 , G08G1/096741 , G08G1/202
Abstract: A device can receive a request for a schedule that assigns a fleet of vehicles to a set of deliveries. The device can determine that a parameter is not included in the request that is needed to generate a new schedule or that is needed to generate an existing schedule. The device can obtain the parameter using a historical user request, a historical schedule, or a scheduling template. The device can generate or obtain the schedule based on information included in the request and the obtained parameter. The device can provide the schedule to a user device and/or to one or more devices associated with the fleet of vehicles carrying out the set of deliveries. The device can modify the schedule based on a trigger. The device can provide the modified schedule to the user device and/or to the one or more devices associated with the fleet of vehicles.
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4.发明授权公开(公告)号：US11922651B2
公开(公告)日：2024-03-05
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
CPC classification number: G06T7/70 , G06N3/08 , G06V20/56 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/30252
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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Patent Agency Ranking
公开(公告)号：US11710082B2
公开(公告)日：2023-07-25
申请号：US17227628
申请日：2021-04-12
Applicant: Verizon Connect Development Limited
Inventor： Matteo Simoncini , Aurel Pjetri , Francesco Sambo , Alessandro Lori , Fabio Schoen
CPC classification number: G06N20/20 , B60W40/09 , B60W50/12 , G06F18/21 , G06V20/597 , B60W2050/0071
Abstract: A device may receive vehicle operation data associated with operation of a plurality of vehicles, and may process the vehicle operation data to generate processed vehicle operation data. The device may extract multiple features from the processed vehicle operation data, and may train machine learning models, with the multiple features, to generate trained machine learning models that provide model outputs. The device may process the multiple features, with a feature selection model and based on the model outputs, to select sets of features from the plurality of features, and may process the sets of features, with the trained machine learning models, to generate indications of driving behavior and reliabilities of the indications. The device may select a set of features, from the sets of features, based on the indications and the reliabilities, where the set of features may be calculated by a device associated with a particular vehicle.
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公开(公告)号：US11639857B2
公开(公告)日：2023-05-02
申请号：US17166403
申请日：2021-02-03
Applicant: Verizon Connect Development Limited
Inventor： Luca Bravi , Stefano Caprasecca , Matteo Simoncini , Leonardo Sarti
Abstract: A rating platform can identify a point of interest (POI) among a first plurality of POIs included in a stop cluster. The rating platform can generate a plurality of unweighted user scores for the POI. Respective unweighted user scores, of the plurality of unweighted user scores is associated, can be associated with respective users of a plurality of users. The rating platform can generate a plurality of weighted user scores for the POI based on the plurality of unweighted user scores and respective weights assigned to respective users of the plurality of users. The rating platform can generate a POI score for the POI based on the plurality of weighted user scores. The rating platform can transmit, based on the POI score, an instruction to display, on the client device, information associated with the POI.
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7.发明授权公开(公告)号：US11532096B2
公开(公告)日：2022-12-20
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：US11440555B2
公开(公告)日：2022-09-13
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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公开(公告)号：US11210939B2
公开(公告)日：2021-12-28
申请号：US15518694
申请日：2016-12-02
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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