Patents by Inventor Douglas Coimbra De Andrade
Douglas Coimbra De Andrade 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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Systems and methods for utilizing models to predict hazardous driving conditions based on audio data
Patent number: 11972773Abstract: A vehicle device may receive audio data and other vehicle data associated with a vehicle and may transform the audio data to transformed audio data in a frequency domain. The vehicle device may segment the transformed audio data into a plurality of audio segments and may process the plurality of audio segments, with different feature extraction techniques, to extract a plurality of feature vectors. The vehicle device may merge the plurality of feature vectors into a merged feature vector and may create an audio signature for the audio data based on the merged feature vector. The vehicle device may process the audio signature and the other vehicle data, with a model, to determine a classification of the audio signature and may perform one or more actions based on the classification of the audio signature.Type: GrantFiled: April 19, 2023Date of Patent: April 30, 2024Assignees: Verizon Connect Development Limited, Verizon Patent and Licensing Inc.Inventors: Vipul Shyam Javeri, Mourya C. Darivemula, Jeyanth Paul John Britto, Nishitha Reddy Nalla, Aaroon Thowfiq Shahul Hameed, Douglas Coimbra De Andrade, Jin Soo Cho, Ianemmanuel P Crueldad -
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: 11827247Abstract: A device may include one or more processors configured to receive sensor data from an external sensor associated with an autonomous driving zone; generate a map of the autonomous driving zone based on the sensor data; determine that a vehicle is entering the autonomous driving zone; and transmit a signal to the vehicle based on the vehicle entering the autonomous driving zone. The signal may cause the vehicle to begin operating in a full autonomous mode. The one or more processors may be configured further to determine an objective associated with the vehicle; receive first data obtained by one or more first sensors associated with the vehicle and second data obtained by the external sensor; determine a route based on the objective, the first data, and the second data; and transmit information identifying the route to the vehicle. The route may allow the vehicle to satisfy the objective.Type: GrantFiled: February 19, 2020Date of Patent: November 28, 2023Assignee: Verizon Connect Development LimitedInventor: Douglas Coimbra De Andrade
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Publication number: 20230377351Abstract: In some implementations, a device may receive an image that depicts an environment associated with a vehicle. The device may partition the image into a plurality of subsections. The device may analyze the plurality of subsections to determine respective subsection information, wherein subsection information, for an individual subsection, indicates: a probability score that the subsection includes a line segment associated with an object class, a position of a representative point of the line segment, and a direction of the line segment. The device may identify, based on the respective subsection information of the plurality of subsections, a line associated with the object class that is associated with a set of subsections of the plurality of subsections. The device may perform one or more actions based on identifying the line associated with the object class.Type: ApplicationFiled: August 7, 2023Publication date: November 23, 2023Applicant: Verizon Connect Development LimitedInventors: Tommaso MUGNAI, Douglas COIMBRA DE ANDRADE, Giovanni MORINI, Andrea BASILE
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Publication number: 20230274555Abstract: 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: ApplicationFiled: February 28, 2022Publication date: August 31, 2023Applicant: Verizon Patent and Licensing Inc.Inventors: Matteo SIMONCINI, Douglas COIMBRA DE ANDRADE, Leonardo TACCARI, Leonardo SARTI, Francesco SAMBO, Fabio SCHOEN, Niccolo BELLACCINI
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Publication number: 20230267718Abstract: In some implementations, a device may receive image data and sensor data associated with the image data. The image data may depict a series of scenes that are captured over a time period and that are associated with an occurrence of an event. The device may determine a time of interest, within the time period, at which a value of the sensor data satisfies one or more criteria. The device may extract a portion of the image data based on the time of interest. The device may extract, from the portion of the image data, a slice of image data depicting a first set of scenes and a slice of image data depicting a second set of scenes. The device may train, based on the slices of image data, a model to predict a probability of an occurrence of an event.Type: ApplicationFiled: February 18, 2022Publication date: August 24, 2023Applicant: Verizon Patent and Licensing Inc.Inventors: Douglas COIMBRA DE ANDRADE, Aurel PJETRI
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SYSTEMS AND METHODS FOR UTILIZING MODELS TO PREDICT HAZARDOUS DRIVING CONDITIONS BASED ON AUDIO DATA
Publication number: 20230253008Abstract: A vehicle device may receive audio data and other vehicle data associated with a vehicle and may transform the audio data to transformed audio data in a frequency domain. The vehicle device may segment the transformed audio data into a plurality of audio segments and may process the plurality of audio segments, with different feature extraction techniques, to extract a plurality of feature vectors. The vehicle device may merge the plurality of feature vectors into a merged feature vector and may create an audio signature for the audio data based on the merged feature vector. The vehicle device may process the audio signature and the other vehicle data, with a model, to determine a classification of the audio signature and may perform one or more actions based on the classification of the audio signature.Type: ApplicationFiled: April 19, 2023Publication date: August 10, 2023Applicants: Verizon Patent and Licensing Inc., Verizon Connect Development LimitedInventors: Vipul Shyam JAVERI, Mourya C. DARIVEMULA, Jeyanth Paul JOHN BRITTO, Nishitha Reddy NALLA, Aaroon Thowfiq Shahul HAMEED, Douglas COIMBRA DE ANDRADE, Jin Soo CHO, Ianemmanuel P CRUELDAD -
Publication number: 20230252800Abstract: A device may process the video data, with a first machine learning model, to identify a driver of a vehicle and may process the video data associated with the driver, with a second machine learning model, to detect behavior data identifying a behavior of the driver. The device may process the behavior data, with a third machine learning model, to determine distraction data identifying whether the behavior is classified as a distracted behavior. The device may process the behavior data, with a fourth machine learning model, to determine policy compliance data identifying whether the behavior satisfies one or more policies. The device may calculate a distraction score based on the distraction data and the video data, and may calculate a policy compliance score based on the policy compliance data and vehicle data. The device may perform one or more actions based on the distraction score and the policy compliance score.Type: ApplicationFiled: April 19, 2023Publication date: August 10, 2023Applicant: Verizon Connect Development LimitedInventors: Douglas COIMBRA DE ANDRADE, Andrea BENERICETTI, Aurel PJETRI, Leonardo TACCARI, Francesco SAMBO, Alex Quintero GARCIA, Luca BRAVI
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Patent number: 11721111Abstract: In some implementations, a device may receive an image that depicts an environment associated with a vehicle. The device may partition the image into a plurality of subsections. The device may analyze the plurality of subsections to determine respective subsection information, wherein subsection information, for an individual subsection, indicates: a probability score that the subsection includes a line segment associated with an object class, a position of a representative point of the line segment, and a direction of the line segment. The device may identify, based on the respective subsection information of the plurality of subsections, a line associated with the object class that is associated with a set of subsections of the plurality of subsections. The device may perform one or more actions based on identifying the line associated with the object class.Type: GrantFiled: October 16, 2020Date of Patent: August 8, 2023Assignee: Verizon Connect Development LimitedInventors: Tommaso Mugnai, Douglas Coimbra De Andrade, Giovanni Morini, Andrea Basile
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Patent number: 11654924Abstract: 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: GrantFiled: August 18, 2022Date of Patent: May 23, 2023Assignee: Verizon Connect Development LimitedInventors: Matteo Simoncini, Douglas Coimbra De Andrade, Samuele Salti, Leonardo Taccari, Fabio Schoen, Francesco Sambo, Leonardo Sarti
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Patent number: 11651599Abstract: A device may process the video data, with a first machine learning model, to identify a driver of a vehicle and may process the video data associated with the driver, with a second machine learning model, to detect behavior data identifying a behavior of the driver. The device may process the behavior data, with a third machine learning model, to determine distraction data identifying whether the behavior is classified as a distracted behavior. The device may process the behavior data, with a fourth machine learning model, to determine policy compliance data identifying whether the behavior satisfies one or more policies. The device may calculate a distraction score based on the distraction data and the video data, and may calculate a policy compliance score based on the policy compliance data and vehicle data. The device may perform one or more actions based on the distraction score and the policy compliance score.Type: GrantFiled: August 17, 2020Date of Patent: May 16, 2023Assignee: Verizon Patent and Licensing Inc.Inventors: Douglas Coimbra De Andrade, Andrea Benericetti, Aurel Pjetri, Leonardo Taccari, Francesco Sambo, Alex Quintero Garcia, Luca Bravi
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Patent number: 11651195Abstract: A device may receive an image. The device may utilize an episodic memory to determine a first classification associated with the image. The device may utilize a semantic memory to determine a second classification associated with the image. The device may determine an accuracy associated with utilizing the semantic memory to determine the second classification. The device may determine that the image is associated with the first classification when the accuracy fails to satisfy a threshold accuracy. The device may determine that the image is associated with the second classification when the accuracy satisfies the threshold accuracy.Type: GrantFiled: August 31, 2020Date of Patent: May 16, 2023Assignee: Verizon Connect Development LimitedInventors: Douglas Coimbra De Andrade, Leonardo Taccari
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Systems and methods for utilizing models to predict hazardous driving conditions based on audio data
Patent number: 11646049Abstract: A vehicle device may receive audio data and other vehicle data associated with a vehicle and may transform the audio data to transformed audio data in a frequency domain. The vehicle device may segment the transformed audio data into a plurality of audio segments and may process the plurality of audio segments, with different feature extraction techniques, to extract a plurality of feature vectors. The vehicle device may merge the plurality of feature vectors into a merged feature vector and may create an audio signature for the audio data based on the merged feature vector. The vehicle device may process the audio signature and the other vehicle data, with a model, to determine a classification of the audio signature and may perform one or more actions based on the classification of the audio signature.Type: GrantFiled: May 4, 2021Date of Patent: May 9, 2023Assignees: Verizon Connect Development Limited, Verizon Patent and Licensing Inc.Inventors: Vipul Shyam Javeri, Mourya C. Darivemula, Jeyanth Paul John Britto, Nishitha Reddy Nalla, Aaroon Thowfiq Shahul Hameed, Douglas Coimbra De Andrade, Jin Soo Cho, Ianemmanuel P Crueldad -
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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Publication number: 20220402505Abstract: 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: ApplicationFiled: August 18, 2022Publication date: December 22, 2022Applicant: Verizon Connect Development LimitedInventors: Matteo SIMONCINI, Douglas COIMBRA DE ANDRADE, Samuele SALTI, Leonardo TACCARI, Fabio SCHOEN, Francesco SAMBO, Leonardo SARTI
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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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Patent number: 11501511Abstract: The present invention relates to a robust method for optical recognition of markers in an outdoor environment. In this context, the present invention provides a method for optical recognition of optical markers comprising the steps of: acquiring an image; identifying regions of contiguous colours in the image by flood filling; extracting data and parameters of the contiguous regions; and detecting an optical marker by means of a convex hull algorithm and prediction of position of squares based on the data and parameters extracted from the contiguous Thus, the method of the present invention allows identification of markers, such as chequerboards and targets, unequivocally and with enough robustness as regards partial occlusions and variations of illumination.Type: GrantFiled: February 19, 2019Date of Patent: November 15, 2022Assignee: PetrĂ³leo Brasileiro S.A.—PetrobrasInventor: Douglas Coimbra De Andrade
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SYSTEMS AND METHODS FOR UTILIZING MODELS TO PREDICT HAZARDOUS DRIVING CONDITIONS BASED ON AUDIO DATA
Publication number: 20220358950Abstract: A vehicle device may receive audio data and other vehicle data associated with a vehicle and may transform the audio data to transformed audio data in a frequency domain. The vehicle device may segment the transformed audio data into a plurality of audio segments and may process the plurality of audio segments, with different feature extraction techniques, to extract a plurality of feature vectors. The vehicle device may merge the plurality of feature vectors into a merged feature vector and may create an audio signature for the audio data based on the merged feature vector. The vehicle device may process the audio signature and the other vehicle data, with a model, to determine a classification of the audio signature and may perform one or more actions based on the classification of the audio signature.Type: ApplicationFiled: May 4, 2021Publication date: November 10, 2022Applicants: VERIZON CONNECT IRELAND LIMITED, Verizon Patent and Licensing Inc.Inventors: Vipul Shyam JAVERI, Mourya C. DARIVEMULA, Jeyanth Paul John BRITTO, Nishitha Reddy NALLA, Aaroon Thowfiq Shahul HAMEED, Douglas COIMBRA DE ANDRADE, Jin Soo CHO, Ianemmanuel P. CRUELDAD -
Patent number: 11440555Abstract: 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: GrantFiled: August 24, 2020Date of Patent: September 13, 2022Assignee: Verizon Connect Development LimitedInventors: Matteo Simoncini, Douglas Coimbra De Andrade, Samuele Salti, Leonardo Taccari, Fabio Schoen, Francesco Sambo, Leonardo Sarti