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:
Apr. 04, 2023

Filed:

Mar. 26, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Mudhakar Srivatsa, White Plains, NY (US);

Swati Rallapalli, Ossining, NY (US);

Nidal Qwasmi, Ontario, CA;

Mahmood S. Ashek, Ontario, CA;

Michael J. Giancola, Southwick, MA (US);

Shehzad Noor Taus Priyo, Santa Clara, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); B60W 30/09 (2012.01); G06K 9/62 (2022.01); G06T 19/00 (2011.01); G06T 7/521 (2017.01); G06T 7/11 (2017.01); G05D 1/00 (2006.01); G05D 1/02 (2020.01); G06N 3/08 (2023.01); G06V 20/58 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
B60W 30/09 (2013.01); G05D 1/0088 (2013.01); G05D 1/024 (2013.01); G05D 1/0214 (2013.01); G05D 1/0221 (2013.01); G06K 9/6257 (2013.01); G06K 9/6293 (2013.01); G06N 3/08 (2013.01); G06T 7/11 (2017.01); G06T 7/521 (2017.01); G06T 19/006 (2013.01); G06V 20/584 (2022.01); G06V 20/647 (2022.01); B60W 2420/42 (2013.01); B60W 2420/52 (2013.01); G06T 2207/20164 (2013.01); G06T 2207/30252 (2013.01); G06T 2210/12 (2013.01);
Abstract

Pixel image data of a scene is received in which the pixel image data includes a two-dimensional representation of an object in the scene. Point cloud data including three-dimensional point coordinates of a physical object within the scene corresponding to the two-dimensional representation of the object is received. The three-dimensional point coordinates include depth information of the physical object. The point cloud data is mapped to an image plane of the pixel image data to form integrated pixel image data wherein one or more pixels of the pixel image data have depth information integrated therewith. A three-dimensional bounding box is predicted for the object using a convolutional neural network based upon the integrated pixel image data.


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