The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 06, 2022

Filed:

Apr. 03, 2019
Applicant:

Aptiv Technologies Limited, St. Michael, BB;

Inventors:

Weimeng Zhu, Wuppertal, DE;

Yu Su, Wuppertal, DE;

Christian Nunn, Huckeswagen, DE;

Assignee:

Aptiv Technologies Limited, St. Michael, BB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/70 (2017.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06V 10/44 (2022.01); G06V 10/82 (2022.01); G06T 7/73 (2017.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06T 7/70 (2017.01); G06T 7/75 (2017.01); G06V 10/454 (2022.01); G06V 10/82 (2022.01);
Abstract

A device for processing data sequences by means of a convolutional neural network is configured to carry out the following steps: receiving an input sequence comprising a plurality of data items captured over time using a sensor, each of said data items comprising a multi-dimensional representation of a scene, generating an output sequence representing the input sequence processed item-wise by the convolutional neural network, wherein generating the output sequence comprises: generating a grid-generation sequence based on a combination of the input sequence and an intermediate grid-generation sequence representing a past portion of the output sequence or the grid-generation sequence, generating a sampling grid on the basis of the grid-generation sequence, generating an intermediate output sequence by sampling from the past portion of the output sequence according to the sampling grid, and generating the output sequence based on a weighted combination of the intermediate output sequence and the input sequence.


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