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. 09, 2024

Filed:

Aug. 02, 2021
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

David Wehr, Redmond, WA (US);

Ibrahim Eden, Redmond, WA (US);

Joachim Pehserl, Lynnwood, WA (US);

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/58 (2022.01); G01B 11/22 (2006.01); G01S 17/89 (2020.01); G05D 1/00 (2006.01); G05D 1/02 (2020.01); G06N 7/01 (2023.01); G06T 7/579 (2017.01); G06T 7/70 (2017.01);
U.S. Cl.
CPC ...
G06V 20/58 (2022.01); G01B 11/22 (2013.01); G01S 17/89 (2013.01); G05D 1/0231 (2013.01); G06N 7/01 (2023.01); G06T 7/579 (2017.01); G06T 7/70 (2017.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30261 (2013.01);
Abstract

In various examples, systems and methods are described that generate scene flow in 3D space through simplifying the 3D LiDAR data to '2.5D' optical flow space (e.g., x, y, and depth flow). For example, LiDAR range images may be used to generate 2.5D representations of depth flow information between frames of LiDAR data, and two or more range images may be compared to generate depth flow information, and messages may be passed—e.g., using a belief propagation algorithm—to update pixel values in the 2.5D representation. The resulting images may then be used to generate 2.5D motion vectors, and the 2.5D motion vectors may be converted back to 3D space to generate a 3D scene flow representation of an environment around an autonomous machine.


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