公开(公告)号：US11935253B2

公开(公告)日：2024-03-19

申请号：US17462037

申请日：2021-08-31

Applicant: dSPACE digital signal processing and control engineering GmbH

Inventor： Tim Raedsch

IPC: G06T7/38 ,  G06T7/70 ,  G06V20/40

CPC classification number: G06T7/38 ,  G06T7/70 ,  G06V20/49 ,  G06T2207/10016 ,  G06T2207/20084 ,  G06T2207/30242 ,  G06V2201/07

Abstract: A method for automatically splitting visual sensor data comprising consecutive images, the method being executed by at least one processor of a host computer, the method comprising: a) assigning a scene number to each image, wherein a scene comprises a plurality of images taken in a single environment, wherein assigning a scene number to each image is performed based on a comparison between consecutive images; b) determining an accumulated effort for the images in each scene, wherein the accumulated effort is determined based on the number of objects in the images of the scene, wherein the number of objects is determined using one or more neural networks for object detection; and c) creating packages of images, wherein the images with the same scene number are assigned to the same package unless the accumulated effort of the images in the package surpasses a package threshold.

公开(公告)号：US20230067783A1

公开(公告)日：2023-03-02

申请号：US17462037

申请日：2021-08-31

Applicant: dSPACE digital signal processing and control engineering GmbH

Inventor： Tim Raedsch

IPC: G06T7/38 ,  G06K9/00 ,  G06T7/70

Abstract: A method for automatically splitting visual sensor data comprising consecutive images, the method being executed by at least one processor of a host computer, the method comprising: a) assigning a scene number to each image, wherein a scene comprises a plurality of images taken in a single environment, wherein assigning a scene number to each image is performed based on a comparison between consecutive images; b) determining an accumulated effort for the images in each scene, wherein the accumulated effort is determined based on the number of objects in the images of the scene, wherein the number of objects is determined using one or more neural networks for object detection; and c) creating packages of images, wherein the images with the same scene number are assigned to the same package unless the accumulated effort of the images in the package surpasses a package threshold.