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:
Feb. 09, 2021

Filed:

Jul. 27, 2018
Applicant:

Ai Incorporated, Toronto, CA;

Inventors:

Ali Ebrahimi Afrouzi, San Jose, CA (US);

Sebastian Schweigert, Toronto, CA;

Chen Zhang, Toronto, CA;

Assignee:

AI Incorporated, Toronto, CA;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G06T 7/593 (2017.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06T 7/13 (2017.01); G06T 7/30 (2017.01); G01S 17/86 (2020.01); G01C 21/32 (2006.01); G06T 7/73 (2017.01); G06T 17/05 (2011.01); G06T 7/33 (2017.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G05D 1/0274 (2013.01); G01C 21/32 (2013.01); G01S 17/86 (2020.01); G05D 1/0227 (2013.01); G05D 1/0253 (2013.01); G06K 9/00201 (2013.01); G06K 9/00664 (2013.01); G06K 9/00805 (2013.01); G06K 9/6202 (2013.01); G06T 7/0002 (2013.01); G06T 7/13 (2017.01); G06T 7/30 (2017.01); G06T 7/344 (2017.01); G06T 7/593 (2017.01); G06T 7/73 (2017.01); G06T 17/05 (2013.01); G05D 2201/0203 (2013.01); G06T 2207/10028 (2013.01); Y10S 901/47 (2013.01);
Abstract

Provided is a process, including obtaining, with a robot, raw pixel intensity values of a first image and raw pixel intensity values of a second image, wherein the first image and the second image are taken from different positions; determining, with one or more processors, an overlapping area of a field of view of the first image and of a field of view of the second image by comparing the raw pixel intensity values of the first image to the raw pixel intensity values of the second image; spatially, with one or more processors, aligning values based on sensor readings of the robot based on the overlapping area; and inferring, with one or more processors, features of a working environment of the robot based on the spatially aligned sensor readings.


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