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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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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
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.
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Patent Agency Ranking
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：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.
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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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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：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
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.
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