公开(公告)号：US11926318B2

公开(公告)日：2024-03-12

申请号：US16949441

申请日：2020-10-29

Applicant: Verizon Connect Development Limited

Inventor： Luca Bravi ,  Luca Kubin ,  Leonardo Sarti ,  Leonardo Taccari ,  Francesco Sambo

IPC: B60W30/095 ,  B60W50/14 ,  G06F18/24 ,  G06T7/20 ,  G06T7/60 ,  G06T7/70 ,  G06V20/58 ,  G08G1/16

CPC classification number: B60W30/0956 ,  B60W50/14 ,  G06F18/24 ,  G06T7/20 ,  G06T7/60 ,  G06T7/70 ,  G06V20/58 ,  G08G1/166 ,  B60W2050/146 ,  B60W2420/42 ,  B60W2554/4042 ,  B60W2554/4044 ,  G06T2207/10016 ,  G06T2207/30241 ,  G06T2207/30261

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.

公开(公告)号：US11532096B2

公开(公告)日：2022-12-20

申请号：US17001166

申请日：2020-08-24

Applicant: Verizon Connect Development Limited

Inventor： Simone Magistri ,  Francesco Sambo ,  Douglas Coimbra de Andrade ,  Fabio Schoen ,  Matteo Simoncini ,  Luca Bravi ,  Stefano Caprasecca ,  Luca Kubin ,  Leonardo Taccari

IPC: G06T7/70 ,  G06N3/08 ,  G06V20/56

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.

公开(公告)号：US11328505B2

公开(公告)日：2022-05-10

申请号：US16793829

申请日：2020-02-18

Applicant: Verizon Connect Development Limited

Inventor： Leonardo Taccari ,  Luca Kubin ,  Tommaso Bianconcini ,  Andrea Benericetti ,  Leonardo Sarti ,  Tommaso Innocenti

IPC: G06K9/00 ,  G06V20/10 ,  G06N3/04 ,  B64C39/02 ,  G08G1/16

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.

公开(公告)号：US11900657B2

公开(公告)日：2024-02-13

申请号：US17001161

申请日：2020-08-24

Applicant: Verizon Connect Development Limited

Inventor： Luca Bravi ,  Luca Kubin ,  Leonardo Taccari ,  Francesco Sambo ,  Matteo Simoncini ,  Douglas Coimbra De Andrade ,  Stefano Caprasecca

IPC: G06V20/58 ,  G06V10/764 ,  G06T7/70 ,  G06N20/00 ,  B60Q9/00 ,  G08G1/052 ,  G06F18/21 ,  G06F18/24 ,  G06N7/01 ,  B60R11/04 ,  G05D1/00

CPC classification number: G06V10/764 ,  B60Q9/00 ,  G06F18/21 ,  G06F18/24 ,  G06N7/01 ,  G06N20/00 ,  G06T7/70 ,  G06V20/582 ,  G08G1/052 ,  B60R11/04 ,  G05D1/0061 ,  G06T2207/20084 ,  G06T2207/30252

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.

公开(公告)号：US11922651B2

公开(公告)日：2024-03-05

申请号：US18061124

申请日：2022-12-02

Applicant: Verizon Connect Development Limited

Inventor： Simone Magistri ,  Francesco Sambo ,  Douglas Coimbra De Andrade ,  Fabio Schoen ,  Matteo Simoncini ,  Luca Bravi ,  Stefano Caprasecca ,  Luca Kubin ,  Leonardo Taccari

IPC: G06T7/70 ,  G06N3/08 ,  G06V20/56

CPC classification number: G06T7/70 ,  G06N3/08 ,  G06V20/56 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30252

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.

公开(公告)号：US11756431B2

公开(公告)日：2023-09-12

申请号：US17659928

申请日：2022-04-20

Applicant: Verizon Connect Development Limited

Inventor： Leonardo Taccari ,  Luca Kubin ,  Tommaso Bianconcini ,  Andrea Benericetti ,  Leonardo Sarti ,  Tommaso Innocenti

IPC: G06V20/10 ,  G08G1/00 ,  G06N3/04 ,  B64C39/02 ,  G08G1/16 ,  G06V10/771 ,  G06V10/80 ,  G06V10/98 ,  G06V20/56 ,  B64U101/30

CPC classification number: G08G1/205 ,  B64C39/024 ,  G06N3/04 ,  G06V10/771 ,  G06V10/806 ,  G06V10/98 ,  G06V20/10 ,  G06V20/56 ,  G08G1/164 ,  B64U2101/30

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.