公开(公告)号：US20230077516A1

公开(公告)日：2023-03-16

申请号：US17447510

申请日：2021-09-13

Applicant: Verizon Patent and Licensing Inc.

Inventor： Tommaso BIANCONCINI ,  Leonardo SARTI ,  Leonardo TACCARI ,  Francesco SAMBO ,  Fabio SCHOEN ,  Enrico CIVITELLI ,  Simone MAGISTRI

IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08 ,  B60W40/06 ,  B60R1/00

Abstract: In some implementations, an adverse environment detection system may receive an image of a road scene associated with a vehicle. The adverse environment detection system may determine a set of features associated with the image based on providing the image to an initial portion of a model. The adverse environment detection system may determine a first condition associated with the image based on providing the set of features to a first processing layer of the model, a second condition associated with the image based on providing the set of features to a second processing layer of the model, and a third condition associated with the image based on providing the set of features to a third processing layer of the model. The first processing layer, the second processing layer, and the third processing layer may process the set of features in parallel.

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.