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1.发明公开公开(公告)号：US20240290118A1
公开(公告)日：2024-08-29
申请号：US18175993
申请日：2023-02-28
Applicant: Verizon Patent and Licensing Inc.
Inventor： Niccolo BELLACCINI , Matteo SIMONCINI , Douglas COIMBRA DE ANDRADE , Francesco SAMBO
IPC: G06V20/70 , G06F16/51 , G06F16/53 , G06F16/58 , G06F40/186 , G06F40/279 , G06V10/40 , G06V10/764 , G06V10/82
CPC classification number: G06V20/70 , G06F16/51 , G06F16/53 , G06F16/5866 , G06F40/186 , G06F40/279 , G06V10/40 , G06V10/764 , G06V10/82
Abstract: A device may receive a plurality of narratives associated with a plurality of scenes and an image identifying a scene not included in the plurality of scenes, and may process the image, with a classifier model, to detect a plurality of features in the image. The device may replace keywords in the plurality of narratives, with tags, to generate a plurality of sentences, and may group similar sentences of the plurality of sentences, based on a defined measure of dissimilarity, into clusters of templates. The device may select a candidate template from each of the clusters to generate a set of candidate templates, and may select a template from the set of candidate templates. The device may populate tags of the template with the plurality of features detected in the image to generate an image caption, and may provide the image and the image caption for display.
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公开(公告)号：US20250085108A1
公开(公告)日：2025-03-13
申请号：US18463989
申请日：2023-09-08
Applicant: Verizon Patent and Licensing Inc.
Inventor： Douglas COIMBRA DE ANDRADE , Vidhya SERAN , Francesco SAMBO , Jerry GAMBLE, JR. , Tommaso BIANCONCINI , Leonardo TACCARI , Aurel PJETRI , Leonardo SARTI
Abstract: A device may receive video data and corresponding GPS data and IMU data associated with a vehicle, and may remove video frames from the video data to generate modified video data. The device may select objects and image regions of video frames of the modified video data, and may determine a current speed and a current turn angle of the vehicle based on the GPS data, the IMU data, and the modified video data. The device may mask the objects of the video frames of the modified video data to learn first features, and may mask the image regions of the video frames of the modified video data to learn second features. The device may generate a trained neural network model based on the current speed, the current turn angle, the first features, and the second features, and may implement the trained neural network model in the vehicle.
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公开(公告)号：US20230274555A1
公开(公告)日：2023-08-31
申请号：US17682610
申请日：2022-02-28
Applicant: Verizon Patent and Licensing Inc.
Inventor： Matteo SIMONCINI , Douglas COIMBRA DE ANDRADE , Leonardo TACCARI , Leonardo SARTI , Francesco SAMBO , Fabio SCHOEN , Niccolo BELLACCINI
CPC classification number: G06V20/58 , G06V10/40 , G06V10/82 , G06N3/0454 , G06N3/0445
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.
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4.发明申请公开(公告)号：US20240420460A1
公开(公告)日：2024-12-19
申请号：US18334840
申请日：2023-06-14
Applicant: Verizon Patent and Licensing Inc.
Inventor： Tomaso TRINCI , Tommaso BIANCONCINI , Leonardo TACCARI , Leonardo SARTI , Francesco SAMBO
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.
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公开(公告)号：US20240249493A1
公开(公告)日：2024-07-25
申请号：US18156604
申请日：2023-01-19
Applicant: Verizon Patent and Licensing Inc.
Inventor： Leonardo TACCARI , Francesco SAMBO , Douglas COIMBRA DE ANDRADE
IPC: G06V10/22 , G06V10/764 , G06V20/40 , G06V20/56 , G06V20/58
CPC classification number: G06V10/225 , G06V10/764 , G06V20/41 , G06V20/58 , G06V20/588 , G06V2201/08
Abstract: In some implementations, a video system may capture, from a camera mounted to a vehicle, a video of a portion of a road on which the vehicle is traveling. The video system may detect, in the video, a driving lane associated with the road on which the vehicle is traveling. The video system may detect, in the video, multiple other vehicles within the driving lane. The video system may determine, for each of the multiple other vehicles within the driving lane, a bounding box that substantially surrounds an image of the other vehicle, resulting in a plurality of bounding boxes. The video system may determine a region in the video corresponding to an area to be driven by the vehicle based on the plurality of bounding boxes.
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Patent Agency Ranking
6.发明公开公开(公告)号：US20240320983A1
公开(公告)日：2024-09-26
申请号：US18736741
申请日：2024-06-07
Applicant: Verizon Patent and Licensing Inc.
Inventor： Tommaso BIANCONCINI , Leonardo SARTI , Leonardo TACCARI , Francesco SAMBO , Fabio SCHOEN , Enrico CIVITELLI , Simone MAGISTRI
CPC classification number: G06V20/56 , G06V10/454 , G06V10/82
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.
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7.发明公开公开(公告)号：US20240257535A1
公开(公告)日：2024-08-01
申请号：US18162838
申请日：2023-02-01
Applicant: Verizon Patent and Licensing Inc.
Inventor： Douglas COIMBRA DE ANDRADE , Francesco SAMBO , Matteo SIMONCINI , Andrea BENERICETTI , Leonardo TACCARI
CPC classification number: G06V20/582 , B60W50/14 , G06F3/013 , G06T7/70 , G06T17/20 , G06V10/761 , G06V20/59 , G06T2207/10048 , G06T2207/20081 , G06V2201/07
Abstract: A device may receive driver facing video data associated with a driver of a vehicle and forward facing video data associated with the vehicle, and may process the driver facing video data, with a face model, to identify driver head orientation and driver gaze. The device may generate a first transformation matrix mapping the driver facing video data, the driver head orientation, and the driver gaze, and may generate a second transformation matrix mapping the driver facing video data and the forward facing video data. The device may utilize the first transformation matrix and the second transformation matrix to estimate image coordinates, and may aggregate the image coordinates to generate aggregated coordinates. The device may generate heat maps based on the aggregated coordinates, may train machine learning model, with the heat maps, to generate a trained machine learning model, and may perform actions based on the trained machine learning model.
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8.发明公开公开(公告)号：US20240242510A1
公开(公告)日：2024-07-18
申请号：US18155435
申请日：2023-01-17
Applicant: Verizon Patent and Licensing Inc.
Inventor： Niccolo BELLACCINI , Matteo SIMONCINI , Andrea BENERICETTI , Henrique Pineiro MONTEAGUDO , Francesco SAMBO
CPC classification number: G06V20/588 , B60W50/14 , G06T3/40 , G06T7/13 , G06T7/20 , G06T2207/20084 , G06T2207/30256
Abstract: In some implementations, a video system may receive, from a camera mounted to a vehicle, a video of a portion of a road on which the vehicle is traveling. The video system may extract, from each frame of a plurality of frames associated with the video of the road, a frame strip to form a plurality of frame strips, wherein each frame strip extends a predetermined width in a horizontal direction and a predetermined height in a vertical direction. The video system may form, from each frame strip, a single-pixel strip, to form a plurality of single-pixel strips. The video system may compile the plurality of single-pixel strips to form a motion profile. The video system may determine, using machine learning, one of: at least one driving maneuver associated with the vehicle based on the motion profile, or that no driving maneuvers are present in the motion profile.
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公开(公告)号：US20250131741A1
公开(公告)日：2025-04-24
申请号：US18492321
申请日：2023-10-23
Applicant: Verizon Patent and Licensing Inc.
Inventor： Samuele SALTI , Douglas COIMBRA DE ANDRADE , Francesco SAMBO , Leonardo TACCARI , Alessandro DICOSOLA
IPC: G06V20/56 , B60R1/22 , G06V10/50 , G06V10/764 , G06V10/82
Abstract: A device may receive forward facing video data associated with a vehicle, and may process the forward facing video data, with neural network models, to detect lane lines and to determine classifications for the lane lines. The device may utilize the forward facing video data to generate a histogram of horizontal positions of the vehicle, and may fit probability density functions on the histogram to calculate a mean and a standard deviation. The device may utilize the mean and the standard deviation to identify a crossing interval, and may classify the forward facing video data as a lane crossing or a lane change based on the crossing interval. The device may calculate a lane crossing score or may calculate a lane change score. The device may perform actions based on the lane crossing score or the lane change score.
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10.发明申请公开(公告)号：US20250085109A1
公开(公告)日：2025-03-13
申请号：US18464003
申请日：2023-09-08
Applicant: Verizon Patent and Licensing Inc.
Inventor： Matteo SIMONCINI , Tommaso BIANCONCINI , Luca BRAVI , Leonardo SARTI , Leonardo TACCARI , Douglas COIMBRA DE ANDRADE , Francesco SAMBO
Abstract: A device may receive video data and corresponding GPS data and IMU data associated with a vehicle, and may process the video data, with an object detector model, to identify objects and to generate a first feature vector. The device may process the GPS data and the IMU data, with a first CNN model, to generate a second feature vector, and may process the objects and the video data, with a tracking model, to identify positions and classes of the objects and to generate a third feature vector. The device may utilize a second CNN model to generate a matrix of object features based on the first, second, and third feature vectors, and may utilize a spatiotemporal attention selector model or a max pooled model with the matrix of object features to identify a classification of a maneuver of the vehicle. The device may perform actions based on the classification.
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