Patents by Inventor Luca Kubin

Luca Kubin 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).

  • Patent number: 12064246
    Abstract: A method for determining a driving intention of a user in a vehicle using electroencephalography (EEG) signals, comprising: acquiring (100) a plurality of EEG signals on a user in the vehicle, determining (101, . . . , 104) a plurality of features of the EEG signals, for each feature of the EEG signals, performing (111, . . . , 114?) a respective preliminary soft classification process, so as to obtain a plurality of preliminary soft predictions of driving intention each based on a feature of the EEG signals, performing (120) a soft classification process based on the plurality of preliminary soft predictions so as to obtain the driving intention of the user.
    Type: Grant
    Filed: August 3, 2017
    Date of Patent: August 20, 2024
    Assignees: TOYOTA MOTOR EUROPE, CAMLIN ITALY S.R.L.
    Inventors: Jonas Ambeck-Madsen, Luca Ascari, Luca Kubin, Marcello Mastroleo, Maria Del Vecchio, Roberto Ugolotti
  • Publication number: 20240221358
    Abstract: A system may determine, for each frame of a plurality of frames of image data associated with a vehicle, a probability that each frame of the plurality of frames that includes an image of a stop sign is relevant to the vehicle. The system may determine a longest sequence of consecutive frames of the plurality of frames for which the probability satisfies a probability threshold. The system may determine a maximum probability associated with a frame included in the longest sequence of consecutive frames. The system may determine a time window based on a time associated with the frame associated with the maximum probability. The system may determine location data and sensor data for the vehicle based on the time window. The system may determine an occurrence of a stop sign violation based on the location data and the sensor data.
    Type: Application
    Filed: January 12, 2024
    Publication date: July 4, 2024
    Applicant: Verizon Connect Development Limited
    Inventors: Luca BRAVI, Luca KUBIN, Leonardo TACCARI, Francesco SAMBO, Matteo SIMONCINI, Douglas COIMBRA DE ANDRADE, Stefano CAPRASECCA
  • 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: 11922651
    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.
    Type: Grant
    Filed: December 2, 2022
    Date of Patent: March 5, 2024
    Assignee: Verizon Connect Development Limited
    Inventors: Simone Magistri, Francesco Sambo, Douglas Coimbra De Andrade, Fabio Schoen, Matteo Simoncini, Luca Bravi, Stefano Caprasecca, Luca Kubin, Leonardo Taccari
  • Patent number: 11900657
    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.
    Type: Grant
    Filed: August 24, 2020
    Date of Patent: February 13, 2024
    Assignee: Verizon Connect Development Limited
    Inventors: Luca Bravi, Luca Kubin, Leonardo Taccari, Francesco Sambo, Matteo Simoncini, Douglas Coimbra De Andrade, Stefano Caprasecca
  • 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: 20230102113
    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.
    Type: Application
    Filed: December 2, 2022
    Publication date: March 30, 2023
    Applicant: Verizon Connect Ireland Limited
    Inventors: Simone MAGISTRI, Francesco SAMBO, Douglas COIMBRA DE ANDRADE, Fabio SCHOEN, Matteo SIMONCINI, Luca BRAVI, Stefano CAPRASECCA, Luca KUBIN, Leonardo TACCARI
  • Patent number: 11532096
    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.
    Type: Grant
    Filed: August 24, 2020
    Date of Patent: December 20, 2022
    Assignee: Verizon Connect Development Limited
    Inventors: Simone Magistri, Francesco Sambo, Douglas Coimbra de Andrade, Fabio Schoen, Matteo Simoncini, Luca Bravi, Stefano Caprasecca, Luca Kubin, Leonardo Taccari
  • Publication number: 20220351616
    Abstract: Embodiments described herein provide for the generation of models, which may predict or otherwise model road safety conditions. For example, embodiments may determine attributes of roads and/or segments of roads based on sensor data, statistical data, and/or other suitable data to determine road safety models associated with the roads or road segments. Such models may be used when determining navigation routes, controlling autonomous vehicles, city planning, and/or other suitable operations that may take road safety into account.
    Type: Application
    Filed: April 28, 2021
    Publication date: November 3, 2022
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Luca Kubin, Alessio Sanfratello, Xiaoxuan Zang, Tommaso Mugnai, Aurel Pjetri
  • 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
  • Patent number: 11328505
    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: February 18, 2020
    Date of Patent: May 10, 2022
    Assignee: Verizon Connect Development Limited
    Inventors: Leonardo Taccari, Luca Kubin, Tommaso Bianconcini, Andrea Benericetti, Leonardo Sarti, Tommaso Innocenti
  • Publication number: 20220135027
    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: Application
    Filed: October 29, 2020
    Publication date: May 5, 2022
    Applicant: VERIZON CONNECT IRELAND LIMITED
    Inventors: Luca BRAVI, Luca KUBIN, Leonardo SARTI, Leonardo TACCARI, Francesco SAMBO
  • Publication number: 20210366144
    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.
    Type: Application
    Filed: August 24, 2020
    Publication date: November 25, 2021
    Applicant: VERIZON CONNECT IRELAND LIMITED
    Inventors: Simone MAGISTRI, Francesco SAMBO, Douglas COIMBRA DE ANDRADE, Fabio SCHOEN, Matteo SIMONCINI, Luca BRAVI, Stefano CAPRASECCA, Luca KUBIN, Leonardo TACCARI
  • Publication number: 20210365700
    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.
    Type: Application
    Filed: August 24, 2020
    Publication date: November 25, 2021
    Applicant: VERIZON CONNECT IRELAND LIMITED
    Inventors: Luca BRAVI, Luca KUBIN, Leonardo TACCARI, Francesco SAMBO, Matteo SIMONCINI, Douglas COIMBRA DE ANDRADE, Stefano CAPRASECCA
  • Publication number: 20210256257
    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: February 18, 2020
    Publication date: August 19, 2021
    Inventors: Leonardo TACCARI, Luca Kubin, Tommaso BIANCONCINI, Andrea BENERICETTI, Leonardo SARTI, Tommaso Innocenti
  • Patent number: 11069236
    Abstract: Disclosed herein is an implementation of a Virtual Traffic Lights (VTL) application implemented as an app on a mobile computing device in which online mapping services provide information necessary to determine a lead vehicle among one or more vehicles approaching an intersection. The lead vehicle controls status of virtual traffic lights at the intersection. The information retrieved from in the online mapping service may be used to determine whether vehicles approaching intersection are moving closer or farther apart from each other, the direction of travel of the vehicles, the geographic location of the intersection, and the distance between each vehicle and the geographic location of the intersection.
    Type: Grant
    Filed: October 5, 2018
    Date of Patent: July 20, 2021
    Assignee: CARNEGIE MELLON UNIVERSITY
    Inventors: Ozan K. Tonguz, Luca Kubin
  • Publication number: 20210093241
    Abstract: A method for determining a driving intention of a user in a vehicle using electroencephalography (EEG) signals, comprising: acquiring (100) a plurality of EEG signals on a user in the vehicle, determining (101, . . . , 104) a plurality of features of the EEG signals, for each feature of the EEG signals, performing (111, . . . , 114?) a respective preliminary soft classification process, so as to obtain a plurality of preliminary soft predictions of driving intention each based on a feature of the EEG signals, performing (120) a soft classification process based on the plurality of preliminary soft predictions so as to obtain the driving intention of the user.
    Type: Application
    Filed: August 3, 2017
    Publication date: April 1, 2021
    Applicants: TOYOTA MOTOR EUROPE, CAMLIN ITALY S.R.L.
    Inventors: Jonas AMBECK-MADSEN, Luca ASCARI, Luca KUBIN, Marcello MASTROLEO, Maria DEL VECCHIO, Roberto UGOLOTTI
  • Publication number: 20200286377
    Abstract: Disclosed herein is an implementation of a Virtual Traffic Lights (VTL) application implemented as an app on a mobile computing device in which online mapping services provide information necessary to determine a lead vehicle among one or more vehicles approaching an intersection. The lead vehicle controls status of virtual traffic lights at the intersection. The information retrieved from in the online mapping service may be used to determine whether vehicles approaching intersection are moving closer or farther apart from each other, the direction of travel of the vehicles, the geographic location of the intersection, and the distance between each vehicle and the geographic location of the intersection.
    Type: Application
    Filed: October 5, 2018
    Publication date: September 10, 2020
    Inventors: Ozan K. Tonguz, Luca Kubin