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:
Oct. 31, 2023

Filed:

May. 29, 2020
Applicant:

Mobileye Vision Technologies Ltd., Jerusalem, IL;

Inventors:

Gideon Stein, Jerusalem, IL;

Itay Blumenthal, Jerusalem, IL;

Nadav Shaag, Jerusalem, IL;

Jeffrey Moskowitz, Jerusalem, IL;

Natalie Carlebach, Ra'anana, IL;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/579 (2017.01); G06T 7/292 (2017.01); H04N 13/25 (2018.01); B60R 1/22 (2022.01); G06V 10/774 (2022.01); G06V 20/58 (2022.01); G06V 10/82 (2022.01); G06T 3/00 (2006.01); G06T 17/05 (2011.01); G06N 3/045 (2023.01); G06V 10/25 (2022.01); G06V 20/56 (2022.01); G08G 1/16 (2006.01); G06T 17/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/579 (2017.01); B60R 1/22 (2022.01); G06N 3/045 (2023.01); G06T 3/0093 (2013.01); G06T 7/292 (2017.01); G06T 17/00 (2013.01); G06T 17/05 (2013.01); G06V 10/25 (2022.01); G06V 10/7747 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01); G08G 1/166 (2013.01); H04N 13/25 (2018.05); G06T 2200/04 (2013.01); G06T 2200/08 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01); G08G 1/165 (2013.01);
Abstract

Various systems and methods for modeling a scene. A device for modeling a scene includes a hardware interface to obtain a time-ordered sequence of images representative of a scene, the time-ordered sequence including a plurality of images, one of the sequence of images being a current image, the scene captured by a monocular imaging system; and processing circuitry to: provide a data set to an artificial neural network (ANN) to produce a three-dimensional structure of the scene, the data set including: a portion of the sequence of images, the portion of the sequence of images including the current image; and motion of a sensor that captured the sequence of images; and model the scene using the three-dimensional structure of the scene, wherein the three-dimensional structure is determined for both moving and fixed objects in the scene.


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