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).
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Patent number: 12064246Abstract: 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: GrantFiled: August 3, 2017Date of Patent: August 20, 2024Assignees: TOYOTA MOTOR EUROPE, CAMLIN ITALY S.R.L.Inventors: Jonas Ambeck-Madsen, Luca Ascari, Luca Kubin, Marcello Mastroleo, Maria Del Vecchio, Roberto Ugolotti
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Publication number: 20240221358Abstract: 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: ApplicationFiled: January 12, 2024Publication date: July 4, 2024Applicant: Verizon Connect Development LimitedInventors: Luca BRAVI, Luca KUBIN, Leonardo TACCARI, Francesco SAMBO, Matteo SIMONCINI, Douglas COIMBRA DE ANDRADE, Stefano CAPRASECCA
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Patent number: 11926318Abstract: 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: GrantFiled: October 29, 2020Date of Patent: March 12, 2024Assignee: Verizon Connect Development LimitedInventors: Luca Bravi, Luca Kubin, Leonardo Sarti, Leonardo Taccari, Francesco Sambo
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Patent number: 11922651Abstract: 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: GrantFiled: December 2, 2022Date of Patent: March 5, 2024Assignee: Verizon Connect Development LimitedInventors: Simone Magistri, Francesco Sambo, Douglas Coimbra De Andrade, Fabio Schoen, Matteo Simoncini, Luca Bravi, Stefano Caprasecca, Luca Kubin, Leonardo Taccari
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Patent number: 11900657Abstract: 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: GrantFiled: August 24, 2020Date of Patent: February 13, 2024Assignee: Verizon Connect Development LimitedInventors: Luca Bravi, Luca Kubin, Leonardo Taccari, Francesco Sambo, Matteo Simoncini, Douglas Coimbra De Andrade, Stefano Caprasecca
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Patent number: 11756431Abstract: 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: GrantFiled: April 20, 2022Date of Patent: September 12, 2023Assignee: Verizon Connect Development LimitedInventors: Leonardo Taccari, Luca Kubin, Tommaso Bianconcini, Andrea Benericetti, Leonardo Sarti, Tommaso Innocenti
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Publication number: 20230102113Abstract: 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: ApplicationFiled: December 2, 2022Publication date: March 30, 2023Applicant: Verizon Connect Ireland LimitedInventors: Simone MAGISTRI, Francesco SAMBO, Douglas COIMBRA DE ANDRADE, Fabio SCHOEN, Matteo SIMONCINI, Luca BRAVI, Stefano CAPRASECCA, Luca KUBIN, Leonardo TACCARI
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Patent number: 11532096Abstract: 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: GrantFiled: August 24, 2020Date of Patent: December 20, 2022Assignee: Verizon Connect Development LimitedInventors: Simone Magistri, Francesco Sambo, Douglas Coimbra de Andrade, Fabio Schoen, Matteo Simoncini, Luca Bravi, Stefano Caprasecca, Luca Kubin, Leonardo Taccari
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Publication number: 20220351616Abstract: 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: ApplicationFiled: April 28, 2021Publication date: November 3, 2022Applicant: Verizon Patent and Licensing Inc.Inventors: Luca Kubin, Alessio Sanfratello, Xiaoxuan Zang, Tommaso Mugnai, Aurel Pjetri
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Publication number: 20220245935Abstract: 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: ApplicationFiled: April 20, 2022Publication date: August 4, 2022Applicant: Verizon Connect Development LimitedInventors: Leonardo TACCARI, Luca KUBIN, Tommaso BIANCONCINI, Andrea BENERICETTI, Leonardo SARTI, Tommaso INNOCENTI
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Patent number: 11328505Abstract: 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: GrantFiled: February 18, 2020Date of Patent: May 10, 2022Assignee: Verizon Connect Development LimitedInventors: Leonardo Taccari, Luca Kubin, Tommaso Bianconcini, Andrea Benericetti, Leonardo Sarti, Tommaso Innocenti
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Publication number: 20220135027Abstract: 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: ApplicationFiled: October 29, 2020Publication date: May 5, 2022Applicant: VERIZON CONNECT IRELAND LIMITEDInventors: Luca BRAVI, Luca KUBIN, Leonardo SARTI, Leonardo TACCARI, Francesco SAMBO
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Publication number: 20210366144Abstract: 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: ApplicationFiled: August 24, 2020Publication date: November 25, 2021Applicant: VERIZON CONNECT IRELAND LIMITEDInventors: Simone MAGISTRI, Francesco SAMBO, Douglas COIMBRA DE ANDRADE, Fabio SCHOEN, Matteo SIMONCINI, Luca BRAVI, Stefano CAPRASECCA, Luca KUBIN, Leonardo TACCARI
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Publication number: 20210365700Abstract: 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: ApplicationFiled: August 24, 2020Publication date: November 25, 2021Applicant: VERIZON CONNECT IRELAND LIMITEDInventors: Luca BRAVI, Luca KUBIN, Leonardo TACCARI, Francesco SAMBO, Matteo SIMONCINI, Douglas COIMBRA DE ANDRADE, Stefano CAPRASECCA
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Publication number: 20210256257Abstract: 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: ApplicationFiled: February 18, 2020Publication date: August 19, 2021Inventors: Leonardo TACCARI, Luca Kubin, Tommaso BIANCONCINI, Andrea BENERICETTI, Leonardo SARTI, Tommaso Innocenti
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Patent number: 11069236Abstract: 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: GrantFiled: October 5, 2018Date of Patent: July 20, 2021Assignee: CARNEGIE MELLON UNIVERSITYInventors: Ozan K. Tonguz, Luca Kubin
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Publication number: 20210093241Abstract: 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: ApplicationFiled: August 3, 2017Publication date: April 1, 2021Applicants: TOYOTA MOTOR EUROPE, CAMLIN ITALY S.R.L.Inventors: Jonas AMBECK-MADSEN, Luca ASCARI, Luca KUBIN, Marcello MASTROLEO, Maria DEL VECCHIO, Roberto UGOLOTTI
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Publication number: 20200286377Abstract: 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: ApplicationFiled: October 5, 2018Publication date: September 10, 2020Inventors: Ozan K. Tonguz, Luca Kubin