Patents by Inventor Leonardo Sarti

Leonardo Sarti has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240420460
    Abstract: A device may receive video data that includes a plurality of video frames, and may utilize a scheduling policy to divide the plurality of video frames into a first set of video frames and a second set of video frames. The device may process the first set of video frames, with a first convolutional neural network (CNN) model that includes one or more saliency gates, to generate first predictions and saliency maps, and may generate a trained first CNN model based on the first predictions and the saliency maps. The device may process the second set of video frames and the saliency maps, with a second CNN model that includes a saliency propagation module, to generate second predictions, and may generate a trained second CNN model based on the second predictions. The device may perform actions based on the trained first CNN model and the trained second CNN model.
    Type: Application
    Filed: June 14, 2023
    Publication date: December 19, 2024
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Tomaso TRINCI, Tommaso BIANCONCINI, Leonardo TACCARI, Leonardo SARTI, Francesco SAMBO
  • Publication number: 20240395081
    Abstract: A device may process video data, with a feature extraction model, to generate features, and may process a customer identifier, with an embedding layer, to generate an input. The device may optimize model weights for a classifier model and a customizer model, and may process the features, with the classifier model, to generate general predictions. The device may process the features, the input, and the general predictions, with the customizer model, to generate customer predictions, and may calculate first errors for the general predictions. The device may calculate second errors for the customer predictions, and may train the classifier model and the feature extraction model with the first errors and the optimized model weights. The device may train the customizer model and the embedding layer with the second errors and the optimized model weights. The device may implement the trained classifier model, feature extraction model, customizer model, and embedding layer.
    Type: Application
    Filed: May 22, 2023
    Publication date: November 28, 2024
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Douglas COIMBRA DE ANDRADE, Leonardo SARTI, Tommaso BIANCONCINI, Lorenzo MOSCHI
  • Publication number: 20240395038
    Abstract: A device may receive video data identifying videos, and may process the video data with a machine learning model, to determine classifications. The device may generate labels for the videos, and may calculate event severity scores and event severity labels. The device may calculate event severity incoherence scores, and may calculate user feedback scores of users associated with the device. The device may determine reviewer mistrust scores, and may calculate time review scores. The device may calculate reviewer bias scores, and may determine relabeling scores for the videos based on the event severity incoherence scores, the user feedback scores, the reviewer mistrust scores, the time review scores, and the reviewer bias scores. The device may generate new labels for one or more of the videos based on the relabeling scores, and may retrain the machine learning model, with the new labels, to generate a retrained machine learning model.
    Type: Application
    Filed: May 22, 2023
    Publication date: November 28, 2024
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Leonardo SARTI, Andrea BENERICETTI
  • Publication number: 20240320983
    Abstract: In some implementations, a device may determine a plurality of driving conditions associated with an image of a road scene based on providing a set of features associated with the image to a plurality of processing layers of a model. Each processing layer, of the plurality of processing layers, may determine, in parallel, a respective driving condition of the plurality of driving conditions and may comprise a plurality of sequential linear layers including a first sequential, linear layer comprising a first quantity of neurons corresponding to a quantity of features included in the set of features and computing resources of the device and a last sequential, linear layer comprising a second quantity of neurons that is based on a task associated with determining the respective driving condition. The device may perform one or more actions based on the plurality of driving conditions.
    Type: Application
    Filed: June 7, 2024
    Publication date: September 26, 2024
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Tommaso BIANCONCINI, Leonardo SARTI, Leonardo TACCARI, Francesco SAMBO, Fabio SCHOEN, Enrico CIVITELLI, Simone MAGISTRI
  • Patent number: 12046048
    Abstract: A device may receive accelerometer data and video data for a vehicle and may identify bounding boxes and object classes for objects near the vehicle. The device may identify tracks for the objects and may filter out tracks that are not associated with vehicles or vulnerable road users to generate one or more tracks or an indication of no tracks. The device may generate a collision cone identifying a drivable area of the vehicle to identify objects more likely to be involved in a collision and may filter out tracks from the one or more tracks, based on the bounding boxes, and to generate a subset of tracks or another indication of no tracks. The device may determine scores for the subset of tracks and may identify a track of the subset of tracks with a highest score. The device may perform actions based on the identified track.
    Type: Grant
    Filed: February 17, 2023
    Date of Patent: July 23, 2024
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Leonardo Sarti, Tommaso Bianconcini, Leonardo Taccari
  • Patent number: 12026953
    Abstract: In some implementations, an adverse environment detection system may receive an image of a road scene associated with a vehicle. The adverse environment detection system may determine a set of features associated with the image based on providing the image to an initial portion of a model. The adverse environment detection system may determine a first condition associated with the image based on providing the set of features to a first processing layer of the model, a second condition associated with the image based on providing the set of features to a second processing layer of the model, and a third condition associated with the image based on providing the set of features to a third processing layer of the model. The first processing layer, the second processing layer, and the third processing layer may process the set of features in parallel.
    Type: Grant
    Filed: September 13, 2021
    Date of Patent: July 2, 2024
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Tommaso Bianconcini, Leonardo Sarti, Leonardo Taccari, Francesco Sambo, Fabio Schoen, Enrico Civitelli, Simone Magistri
  • Patent number: 11966236
    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.
    Type: Grant
    Filed: November 25, 2020
    Date of Patent: April 23, 2024
    Assignee: Verizon Connect Development Limited
    Inventors: Valerio Arena, Francesco Sambo, Leonardo Sarti, Matteo Simoncini, Nicola Tommasi
  • Publication number: 20240096056
    Abstract: A device may receive video data identifying videos associated with one or more unsafe driving events by a driver of a vehicle, and may process the video data, with a machine learning model, to determine classifications for the videos. The device may assign tags to the videos based on the classifications, and may calculate event severity scores based on the classifications. The device may calculate tag scores based on the tags assigned to the videos, and may calculate time-to-contact scores, box cross scores, day/night scores, weather scores, and road condition scores based on the video data. The device may calculate video risk scores for the videos based on the event severity scores, the tag scores, the time-to-contact scores, the box cross scores, the day/night scores, the weather scores, and the road condition scores, and may provide one or more of the video risk scores for display.
    Type: Application
    Filed: September 19, 2022
    Publication date: March 21, 2024
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Matteo SIMONCINI, Stefano CAPRASECCA, Leonardo SARTI
  • Patent number: 11926318
    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.
    Type: Grant
    Filed: October 29, 2020
    Date of Patent: March 12, 2024
    Assignee: Verizon Connect Development Limited
    Inventors: Luca Bravi, Luca Kubin, Leonardo Sarti, Leonardo Taccari, Francesco Sambo
  • Patent number: 11756431
    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.
    Type: Grant
    Filed: April 20, 2022
    Date of Patent: September 12, 2023
    Assignee: Verizon Connect Development Limited
    Inventors: Leonardo Taccari, Luca Kubin, Tommaso Bianconcini, Andrea Benericetti, Leonardo Sarti, Tommaso Innocenti
  • Publication number: 20230274555
    Abstract: A device may receive a video and corresponding sensor information associated with a vehicle, and may extract feature vectors associated with the corresponding sensor information and an appearance and a geometry of another vehicle captured in the video. The device may generate a tensor based on the feature vectors, and may process the tensor, with a convolutional neural network model, to generate a modified tensor. The device may select a decoder model from a plurality of decoder models, and may process the modified tensor, with the decoder model, to generate a caption for the video based on attributes associated with the video. The device may perform one or more actions based on the caption for the video.
    Type: Application
    Filed: February 28, 2022
    Publication date: August 31, 2023
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Matteo SIMONCINI, Douglas COIMBRA DE ANDRADE, Leonardo TACCARI, Leonardo SARTI, Francesco SAMBO, Fabio SCHOEN, Niccolo BELLACCINI
  • Publication number: 20230206652
    Abstract: A device may receive accelerometer data and video data for a vehicle and may identify bounding boxes and object classes for objects near the vehicle. The device may identify tracks for the objects and may filter out tracks that are not associated with vehicles or vulnerable road users to generate one or more tracks or an indication of no tracks. The device may generate a collision cone identifying a drivable area of the vehicle to identify objects more likely to be involved in a collision and may filter out tracks from the one or more tracks, based on the bounding boxes, and to generate a subset of tracks or another indication of no tracks. The device may determine scores for the subset of tracks and may identify a track of the subset of tracks with a highest score. The device may perform actions based on the identified track.
    Type: Application
    Filed: February 17, 2023
    Publication date: June 29, 2023
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Leonardo SARTI, Tommaso BIANCONCINI, Leonardo TACCARI
  • Patent number: 11654924
    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.
    Type: Grant
    Filed: August 18, 2022
    Date of Patent: May 23, 2023
    Assignee: Verizon Connect Development Limited
    Inventors: Matteo Simoncini, Douglas Coimbra De Andrade, Samuele Salti, Leonardo Taccari, Fabio Schoen, Francesco Sambo, Leonardo Sarti
  • Patent number: 11639857
    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.
    Type: Grant
    Filed: February 3, 2021
    Date of Patent: May 2, 2023
    Assignee: Verizon Connect Development Limited
    Inventors: Luca Bravi, Stefano Caprasecca, Matteo Simoncini, Leonardo Sarti
  • Publication number: 20230080730
    Abstract: A device may receive accelerometer data and video data for a vehicle and may identify bounding boxes and object classes for objects near the vehicle. The device may identify tracks for the objects and may filter out tracks that are not associated with vehicles or vulnerable road users to generate one or more tracks or an indication of no tracks. The device may generate a collision cone identifying a drivable area of the vehicle to identify objects more likely to be involved in a collision and may filter out tracks from the one or more tracks, based on the bounding boxes, and to generate a subset of tracks or another indication of no tracks. The device may determine scores for the subset of tracks and may identify a track of the subset of tracks with a highest score. The device may perform actions based on the identified track.
    Type: Application
    Filed: September 13, 2021
    Publication date: March 16, 2023
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Leonardo SARTI, Tommaso BIANCONCINI, Leonardo TACCARI
  • Publication number: 20230077516
    Abstract: In some implementations, an adverse environment detection system may receive an image of a road scene associated with a vehicle. The adverse environment detection system may determine a set of features associated with the image based on providing the image to an initial portion of a model. The adverse environment detection system may determine a first condition associated with the image based on providing the set of features to a first processing layer of the model, a second condition associated with the image based on providing the set of features to a second processing layer of the model, and a third condition associated with the image based on providing the set of features to a third processing layer of the model. The first processing layer, the second processing layer, and the third processing layer may process the set of features in parallel.
    Type: Application
    Filed: September 13, 2021
    Publication date: March 16, 2023
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Tommaso BIANCONCINI, Leonardo SARTI, Leonardo TACCARI, Francesco SAMBO, Fabio SCHOEN, Enrico CIVITELLI, Simone MAGISTRI
  • Patent number: 11594042
    Abstract: A device may receive accelerometer data and video data for a vehicle and may identify bounding boxes and object classes for objects near the vehicle. The device may identify tracks for the objects and may filter out tracks that are not associated with vehicles or vulnerable road users to generate one or more tracks or an indication of no tracks. The device may generate a collision cone identifying a drivable area of the vehicle to identify objects more likely to be involved in a collision and may filter out tracks from the one or more tracks, based on the bounding boxes, and to generate a subset of tracks or another indication of no tracks. The device may determine scores for the subset of tracks and may identify a track of the subset of tracks with a highest score. The device may perform actions based on the identified track.
    Type: Grant
    Filed: September 13, 2021
    Date of Patent: February 28, 2023
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Leonardo Sarti, Tommaso Bianconcini, Leonardo Taccari
  • Publication number: 20220402505
    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.
    Type: Application
    Filed: August 18, 2022
    Publication date: December 22, 2022
    Applicant: Verizon Connect Development Limited
    Inventors: Matteo SIMONCINI, Douglas COIMBRA DE ANDRADE, Samuele SALTI, Leonardo TACCARI, Fabio SCHOEN, Francesco SAMBO, Leonardo SARTI
  • Patent number: 11440555
    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.
    Type: Grant
    Filed: August 24, 2020
    Date of Patent: September 13, 2022
    Assignee: Verizon Connect Development Limited
    Inventors: Matteo Simoncini, Douglas Coimbra De Andrade, Samuele Salti, Leonardo Taccari, Fabio Schoen, Francesco Sambo, Leonardo Sarti
  • Publication number: 20220245935
    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.
    Type: Application
    Filed: April 20, 2022
    Publication date: August 4, 2022
    Applicant: Verizon Connect Development Limited
    Inventors: Leonardo TACCARI, Luca KUBIN, Tommaso BIANCONCINI, Andrea BENERICETTI, Leonardo SARTI, Tommaso INNOCENTI