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:
May. 13, 2025

Filed:

Sep. 01, 2022
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Louis Joseph Kerofsky, San Diego, CA (US);

Geert Van Der Auwera, San Diego, CA (US);

Marta Karczewicz, San Diego, CA (US);

Kuan-Ting Shen, National City, CA (US);

Dangdang Shao, Fremont, CA (US);

Khalid Tahboub, San Diego, CA (US);

Bing Han, San Diego, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 23/62 (2023.01); G06T 5/80 (2024.01); G06T 7/20 (2017.01); G06T 7/238 (2017.01); G06T 7/246 (2017.01); G06T 7/70 (2017.01); G06T 7/73 (2017.01); G06T 7/80 (2017.01); B60R 1/20 (2022.01); B60R 11/04 (2006.01); G06T 7/231 (2017.01); G06V 20/52 (2022.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
G06T 7/248 (2017.01); G06T 5/80 (2024.01); G06T 7/20 (2013.01); G06T 7/238 (2017.01); G06T 7/70 (2017.01); G06T 7/74 (2017.01); G06T 7/80 (2017.01); H04N 23/62 (2023.01); B60R 1/20 (2022.01); B60R 11/04 (2013.01); B60R 2300/00 (2013.01); B60W 2420/403 (2013.01); G06T 7/231 (2017.01); G06T 2207/10016 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20068 (2013.01); G06T 2207/30244 (2013.01); G06T 2207/30252 (2013.01); G06T 2219/2016 (2013.01); G06V 20/52 (2022.01); G06V 20/58 (2022.01);
Abstract

Certain aspects of the present disclosure provide techniques for global motion modeling. Embodiments include receiving a first image and a second image from a camera attached to a moving object. Embodiments include identifying a pixel in the first image. Embodiments include determining, based on one or more parameters associated with the camera, a vector representing a range of locations in which a real-world point corresponding to the pixel is likely to be found in the second image, wherein the parameters associated with the camera comprise: a first parameter related to a location of the camera relative to a ground surface; a second parameter related to motion of the moving object; and a third parameter related to an orientation of the camera relative to the ground surface. Embodiments include determining, using the vector, a location of the real-world point in the second image.


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