公开(公告)号：US11972773B2

公开(公告)日：2024-04-30

申请号：US18302985

申请日：2023-04-19

Applicant: Verizon Patent and Licensing Inc. ,  Verizon Connect Development Limited

Inventor： Vipul Shyam Javeri ,  Mourya C. Darivemula ,  Jeyanth Paul John Britto ,  Nishitha Reddy Nalla ,  Aaroon Thowfiq Shahul Hameed ,  Douglas Coimbra De Andrade ,  Jin Soo Cho ,  Ianemmanuel P Crueldad

IPC: G10L25/51 ,  B60Q9/00 ,  G06F3/16 ,  G06N20/00 ,  G08G1/0962 ,  G10L21/0232 ,  G10L25/18 ,  G10L25/24 ,  H04R3/04

CPC classification number: G10L25/51 ,  G06F3/165 ,  G06N20/00 ,  G08G1/0962 ,  G10L21/0232 ,  G10L25/18 ,  G10L25/24 ,  H04R3/04 ,  B60Q9/00 ,  H04R2430/01 ,  H04R2499/13

Abstract: A vehicle device may receive audio data and other vehicle data associated with a vehicle and may transform the audio data to transformed audio data in a frequency domain. The vehicle device may segment the transformed audio data into a plurality of audio segments and may process the plurality of audio segments, with different feature extraction techniques, to extract a plurality of feature vectors. The vehicle device may merge the plurality of feature vectors into a merged feature vector and may create an audio signature for the audio data based on the merged feature vector. The vehicle device may process the audio signature and the other vehicle data, with a model, to determine a classification of the audio signature and may perform one or more actions based on the classification of the audio signature.

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：US11727805B2

公开(公告)日：2023-08-15

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

CPC classification number: G08G1/143 ,  G05D1/0221 ,  G06F16/9537 ,  G06N20/00

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.

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

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

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.

公开(公告)号：US11548523B2

公开(公告)日：2023-01-10

申请号：US17313138

申请日：2021-05-06

Applicant: Verizon Connect Development Limited

Inventor： Stefano Caprasecca ,  Tommaso Mugnai

IPC: B60W50/14 ,  G08G1/052 ,  G08G1/01 ,  B60W40/105 ,  G06N20/00

Abstract: A device receives location data that identifies geographic locations of a vehicle at corresponding times, and speed data that identifies respective speeds of the vehicle at the set of corresponding times. The device identifies, based on the location data, speed limit data that identifies respective speed limits at the geographic locations. The device determines, based on the respective speeds and the respective speed limits, a set of respective relative speed values associated with the vehicle. The device identifies respective relative speed values, of the set of respective relative speed values, that exceed a threshold. The device determines, based on the respective relative speed values, a univocal speed indicator that represents an overall degree to which the respective relative speed values exceed the threshold, during a time interval that includes the corresponding times. The device performs a set of actions based on the univocal speed indicator.

公开(公告)号：US20220402505A1

公开(公告)日：2022-12-22

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

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：US11348061B2

公开(公告)日：2022-05-31

申请号：US15851236

申请日：2017-12-21

Applicant: Verizon Connect Development Limited

Inventor： Tommaso Bianconcini ,  Paolo Raiconi ,  David Di Lorenzo ,  Alessio Frusciante ,  Luca Noce ,  Giovanni Pini

IPC: G06Q10/08 ,  G05D1/02 ,  G06Q50/28

Abstract: A device can receive, from a client device, a request to modify a schedule that includes information identifying the set of deliveries that the fleet of vehicles is to perform. The device can generate a set of modified schedules using information included in the request and one or more routing techniques. The device can determine, for each modified schedule, of the set of modified schedules, one or more scores for ranking the set of modified schedules, such as a projected delivery time score, an operational cost score, and/or an overall score. The device can provide the set of modified schedules that have been scored to the client device. The device can receive a modified schedule that has been selected by the client device. The device can deploy the selected modified schedule to instruct the fleet of vehicles to perform an updated set of deliveries associated with the selected modified schedule.

公开(公告)号：US11111090B2

公开(公告)日：2021-09-07

申请号：US16296676

申请日：2019-03-08

Applicant: VERIZON CONNECT DEVELOPMENT LIMITED

Inventor： Marco Gualtieri ,  Leonardo Taccari ,  Andrea Benericetti ,  Tommaso Bianconcini ,  Alessio Frusciante ,  David Di Lorenzo

IPC: G06F7/00 ,  B65G65/30 ,  G09B9/00 ,  G06T19/00

Abstract: A load planning platform generates a preliminary packing solution based on loading constraints for a three-dimensional container and parameters for a set of items to be loaded into the three-dimensional container, wherein the preliminary packing solution simulates placing unpacked items into the three-dimensional container according to one or more loading rules based on a sequence in which the set of items are to be unloaded from the three-dimensional container. The load planning platform generates a set of packing solutions by applying one or more available moves changing a simulated placement for one or more items in the set of items. The load planning platform selects a final packing solution from the set of packing solutions based on one or more optimization criteria and provides access to a three-dimensional rendering of the final packing solution and instructions for implementing the final packing solution.

公开(公告)号：US12243329B2

公开(公告)日：2025-03-04

申请号：US18366291

申请日：2023-08-07

Applicant: Verizon Connect Development Limited

Inventor： Tommaso Mugnai ,  Douglas Coimbra De Andrade ,  Giovanni Morini ,  Andrea Basile

IPC: G06V20/00 ,  G06N7/01 ,  G06N20/00 ,  G06T7/13 ,  G06T11/20 ,  G06V10/20 ,  G06V20/56

Abstract: In some implementations, a device may receive an image that depicts an environment associated with a vehicle. The device may partition the image into a plurality of subsections. The device may analyze the plurality of subsections to determine respective subsection information, wherein subsection information, for an individual subsection, indicates: a probability score that the subsection includes a line segment associated with an object class, a position of a representative point of the line segment, and a direction of the line segment. The device may identify, based on the respective subsection information of the plurality of subsections, a line associated with the object class that is associated with a set of subsections of the plurality of subsections. The device may perform one or more actions based on identifying the line associated with the object class.