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

IPC: G01C21/16 ,  G01S19/49

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.

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

IPC: G06V20/58 ,  G06V10/40 ,  G06V10/82 ,  G06N3/04

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.

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

IPC: G06V20/56 ,  G06V10/44 ,  G06V10/82

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.

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

IPC: G06V20/58 ,  B60W50/14 ,  G06F3/01 ,  G06T7/70 ,  G06T17/20 ,  G06V10/74 ,  G06V20/59

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.

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

IPC: G06V10/82 ,  G06V20/40

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.

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.

公开(公告)号：US20240087319A1

公开(公告)日：2024-03-14

申请号：US17931289

申请日：2022-09-12

Applicant: Verizon Patent and Licensing Inc.

Inventor： Leonardo TACCARI ,  Aurel PJETRI ,  Alessio SANFRATELLO ,  Tommaso INNOCENTI ,  Tommaso MUGNAI

IPC: G06V20/40 ,  G06V20/56 ,  G08G1/04

CPC classification number: G06V20/47 ,  G06V20/41 ,  G06V20/44 ,  G06V20/56 ,  G08G1/04

Abstract: A video summary device may determine, based on video data, a plurality of events that occurred during a period of time. The video summary device may determine first measures of relevance of a plurality of portions of the period of time. A first measure of relevance of a portion of time may be determined based on one or more events of the plurality of events. The video summary device may determine second measures of relevance of a plurality of ranges of time between different portions of time of the plurality of portions of the period of time. The second measures of relevance is determined based on the first measures of relevance determined for the different portions of time. The video summary device may determine particular frames of the video data, as a video summary of the video data, based on the second measures of relevance.

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.

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

IPC: G01C21/16 ,  B60W40/09 ,  G01S19/47

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.

公开(公告)号：US20230206652A1

公开(公告)日：2023-06-29

申请号：US18170972

申请日：2023-02-17

Applicant: Verizon Patent and Licensing Inc.

Inventor： Leonardo SARTI ,  Tommaso BIANCONCINI ,  Leonardo TACCARI

IPC: G06V20/58 ,  B60W30/095 ,  G01P15/00 ,  G08G1/16 ,  G06T7/20 ,  G06V20/40 ,  B60W50/14 ,  G06V10/22

CPC classification number: G06V20/58 ,  B60W30/0953 ,  G01P15/00 ,  G08G1/166 ,  G06T7/20 ,  G06F18/2431 ,  B60W30/0956 ,  G06V20/41 ,  G06V20/584 ,  B60W50/14 ,  G06V10/225 ,  B60W2554/404 ,  B60W2520/00 ,  G06T2207/10016 ,  B60W2420/42 ,  G06T2207/30261

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.