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:
Jun. 11, 2024

Filed:

Oct. 22, 2021
Applicant:

Argo Ai, Llc, Pittsburgh, PA (US);

Inventors:

Kunal Anil Desai, San Francisco, CA (US);

Xxx Xinjilefu, Pittsburgh, PA (US);

Gang Pan, Fremont, CA (US);

Manu Sethi, Palo Alto, CA (US);

Tao V. Fu, Pittsburgh, PA (US);

Assignee:

ARGO AI, LLC, Pittsburgh, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/579 (2017.01); G01S 17/894 (2020.01); G01S 17/931 (2020.01);
U.S. Cl.
CPC ...
G06T 7/579 (2017.01); G01S 17/894 (2020.01); G01S 17/931 (2020.01); G06T 2207/10028 (2013.01);
Abstract

Disclosed herein are system and method embodiments to implement a validation of an SfM map. An embodiment operates by receiving a motion-generated map corresponding to a digital image, generating a first depth map, wherein the first depth map comprises depth information for one or more triangulated points located within the motion generated image. The embodiment further receives a light detection and ranging (lidar) generated point cloud including at least a portion of the one or more triangulated points, splats the lidar point cloud proximate to the portion of the one or more triangulated points and generates a second depth map for the portion and identifies an incorrect triangulated point, of the one or more triangulated points, based on comparing the first depth information to the second depth information. The incorrect triangulated points may be removed from the SfM map or marked with a low degree of confidence.


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