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.

公开(公告)号：US11798281B2

公开(公告)日：2023-10-24

申请号：US17810003

申请日：2022-06-30

Applicant: Verizon Connect Development Limited

Inventor： Francesco Sambo ,  Leonardo Taccari ,  Marco Boschi ,  Luca De Luigi ,  Samuele Salti

IPC: G06V20/40 ,  G06T7/20 ,  G06T17/20 ,  G07C5/00 ,  G08G1/00

CPC classification number: G06V20/46 ,  G06T7/20 ,  G06T17/20 ,  G07C5/008 ,  G08G1/205 ,  G06T2200/04 ,  G06T2207/20084 ,  G06T2207/30252 ,  G06T2210/12 ,  G06V2201/07

Abstract: A device may receive, from a first vehicle, video data for video captured of a location associated with an accident for a second vehicle, and may process the video data, with a first model, to generate a sparse point cloud of the location associated with the accident. The device may process the video data, with a second model, to generate depth maps for frames of the video data, and may utilize the depth maps with the sparse point cloud to generate a dense point cloud. The device may process the video data, with a third model, to generate a dense semantic point cloud, and may process the dense semantic point cloud, with a fourth model, to determine a dense semantic overhead view of the location associated with the accident. The device may perform actions based on the dense semantic overhead view.

公开(公告)号：US11926318B2

公开(公告)日：2024-03-12

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

IPC: B60W30/095 ,  B60W50/14 ,  G06F18/24 ,  G06T7/20 ,  G06T7/60 ,  G06T7/70 ,  G06V20/58 ,  G08G1/16

CPC classification number: B60W30/0956 ,  B60W50/14 ,  G06F18/24 ,  G06T7/20 ,  G06T7/60 ,  G06T7/70 ,  G06V20/58 ,  G08G1/166 ,  B60W2050/146 ,  B60W2420/42 ,  B60W2554/4042 ,  B60W2554/4044 ,  G06T2207/10016 ,  G06T2207/30241 ,  G06T2207/30261

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.

公开(公告)号：US11747152B2

公开(公告)日：2023-09-05

申请号：US16947502

申请日：2020-08-04

Applicant: Verizon Connect Development Limited

Inventor： Andrea Benericetti ,  David Leonardo Spain Contini ,  Luca Noce ,  Francesca Chiti ,  Andrea Giannoni ,  Francesco Sambo ,  S M Murtoza Habib

IPC: G01C21/34 ,  G01C21/36 ,  B60W60/00

CPC classification number: G01C21/343 ,  B60W60/001 ,  G01C21/3461 ,  G01C21/3476 ,  G01C21/3605

Abstract: A trip planning system may receive, from a user device, trip data identifying a starting point and a destination point for a trip and feature data identifying weights for trip features. The trip planning system may determine a geographical region of interest based on the starting point and the destination point. The trip planning system may receive viewpoint data identifying viewpoints located within the geographical region and may calculate, based on the feature data, viewpoint relevance scores for the viewpoints. The trip planning system may determine, based on the viewpoint data and the trip data, paths for the trip and driving times for the paths. The trip planning system may calculate an optimized path, from the paths, based on the viewpoint relevance scores and the driving times associated with the paths. The trip planning system may perform one or more actions based on the optimized path.

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

IPC: B60W40/09 ,  G06F21/35 ,  G07C5/00 ,  G07C5/08 ,  G08G1/00 ,  G06V20/56

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.

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

IPC: G06T7/70 ,  G06N3/08 ,  G06V20/56

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.

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

IPC: G06N20/20 ,  B60W40/09 ,  B60W50/12 ,  G06V20/59 ,  G06F18/21 ,  B60W50/00

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.

公开(公告)号：US11501538B2

公开(公告)日：2022-11-15

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

IPC: G06T7/536 ,  G06V20/56 ,  G06T7/20 ,  G06K9/62

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.

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.

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

IPC: G06K9/00 ,  G06V20/59 ,  G06T7/10 ,  B60W40/09 ,  G06N20/00 ,  B60W50/14 ,  G06V20/40 ,  G06V40/16

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.