公开(公告)号：US11820611B2

公开(公告)日：2023-11-21

申请号：US17446208

申请日：2021-08-27

Applicant: Verizon Connect Development Limited

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

IPC: G06F7/00 ,  B65G15/30 ,  G09B9/00 ,  G06T19/00

CPC classification number: B65G15/30 ,  G06T19/006 ,  G09B9/00 ,  B65G2814/0304

Abstract: A load planning platform may generate, according to one or more loading rules, a preliminary packing solution that simulates placing unpacked items, in a set of items, into a container. The load planning platform may generate a set of packing solutions by applying one or more available moves to the preliminary packing solution. The load planning platform may select a final packing solution from the set of packing solutions based on one or more optimization criteria associated with the container and the set of items. The load planning platform may provide access to a three-dimensional rendering of the final packing solution that differentiates each item in the set of items based on a sequence in which the set of items are to be unloaded from the container.

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：US11328505B2

公开(公告)日：2022-05-10

申请号：US16793829

申请日：2020-02-18

Applicant: Verizon Connect Development Limited

Inventor： Leonardo Taccari ,  Luca Kubin ,  Tommaso Bianconcini ,  Andrea Benericetti ,  Leonardo Sarti ,  Tommaso Innocenti

IPC: G06K9/00 ,  G06V20/10 ,  G06N3/04 ,  B64C39/02 ,  G08G1/16

Abstract: A device may receive sensor data and video data associated with a vehicle, and may process the sensor data, with a rule-based detector model, to determine whether a probability of a vehicle accident satisfies a first threshold. The device may preprocess acceleration data of the sensor data to generate calibrated acceleration data, and may process the calibrated acceleration data, with an anomaly detector model, to determine whether the calibrated acceleration data includes anomalies. The device may filter the sensor data to generate filtered sensor data, and may process the filtered sensor data and anomaly data, with a decision model, to determine whether the probability of the vehicle accident satisfies a second threshold. The device may process the filtered sensor data, the anomaly data, and the video data, with a machine learning model, to determine whether the vehicle accident has occurred, and may perform one or more actions.

公开(公告)号：US11922530B2

公开(公告)日：2024-03-05

申请号：US17103171

申请日：2020-11-24

Applicant: Verizon Connect Development Limited

Inventor： David Di Lorenzo ,  Alessio Sanfratello ,  Tommaso Bianconcini

IPC: G06Q50/30 ,  G01C21/36 ,  G06Q10/047 ,  G06Q10/0631 ,  G06Q10/083 ,  G06Q10/1093 ,  G06Q30/0204 ,  G08G1/00

CPC classification number: G06Q50/30 ,  G01C21/3691 ,  G06Q10/047 ,  G06Q10/063114 ,  G06Q10/063116 ,  G06Q10/06312 ,  G06Q10/083 ,  G06Q10/1093 ,  G06Q30/0205 ,  G08G1/20

Abstract: A device may receive schedule data identifying schedules of appointments for drivers of vehicles and may receive location data identifying geographical locations of the vehicles. The device may receive traffic data identifying traffic conditions, and may process the received data, with a first model, to determine status data identifying estimated statuses of the appointments. The device may process the received data, with a second model, to generate sets of isochrones for destinations of the appointments, and may calculate, based on the sets of isochrones and the location data, estimated travel time data identifying estimated travel times for the appointments. The device may process the status data, the estimated travel time data, and the schedule data, with a third model, to calculate estimated time of arrival data identifying estimated times of arrival for the appointments, and may perform actions based on the estimated time of arrival data.

公开(公告)号：US11756431B2

公开(公告)日：2023-09-12

申请号：US17659928

申请日：2022-04-20

Applicant: Verizon Connect Development Limited

Inventor： Leonardo Taccari ,  Luca Kubin ,  Tommaso Bianconcini ,  Andrea Benericetti ,  Leonardo Sarti ,  Tommaso Innocenti

IPC: G06V20/10 ,  G08G1/00 ,  G06N3/04 ,  B64C39/02 ,  G08G1/16 ,  G06V10/771 ,  G06V10/80 ,  G06V10/98 ,  G06V20/56 ,  B64U101/30

CPC classification number: G08G1/205 ,  B64C39/024 ,  G06N3/04 ,  G06V10/771 ,  G06V10/806 ,  G06V10/98 ,  G06V20/10 ,  G06V20/56 ,  G08G1/164 ,  B64U2101/30

Abstract: A device may receive sensor data and video data associated with a vehicle, and may process the sensor data, with a rule-based detector model, to determine whether a probability of a vehicle accident satisfies a first threshold. The device may preprocess acceleration data of the sensor data to generate calibrated acceleration data, and may process the calibrated acceleration data, with an anomaly detector model, to determine whether the calibrated acceleration data includes anomalies. The device may filter the sensor data to generate filtered sensor data, and may process the filtered sensor data and anomaly data, with a decision model, to determine whether the probability of the vehicle accident satisfies a second threshold. The device may process the filtered sensor data, the anomaly data, and the video data, with a machine learning model, to determine whether the vehicle accident has occurred, and may perform one or more actions.

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.