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. 12, 2022

Filed:

Jul. 24, 2020
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Ishwar Kulkarni, Santa Clara, CA (US);

Ibrahim Eden, Redmond, WA (US);

Michael Kroepfl, Redmond, WA (US);

David Nister, Redmond, WA (US);

Assignee:

Nvidia Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/521 (2017.01); G06K 9/00 (2022.01); G06T 15/04 (2011.01); G01S 17/89 (2020.01); G06T 11/00 (2006.01); G06T 7/30 (2017.01);
U.S. Cl.
CPC ...
G06K 9/00805 (2013.01); G01S 17/89 (2013.01); G06K 9/00791 (2013.01); G06K 9/00818 (2013.01); G06K 9/00825 (2013.01); G06T 7/30 (2017.01); G06T 7/521 (2017.01); G06T 11/001 (2013.01); G06T 15/04 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/30241 (2013.01);
Abstract

Various types of systems or technologies can be used to collect data in a 3D space. For example, LiDAR (light detection and ranging) and RADAR (radio detection and ranging) systems are commonly used to generate point cloud data for 3D space around vehicles, for such functions as localization, mapping, and tracking. This disclosure provides improved techniques for processing the point cloud data that has been collected. The improved techniques include mapping 3D point cloud data points into a 2D depth map, fetching a group of the mapped 3D point cloud data points that are within a bounded window of the 2D depth map; and generating geometric space parameters based on the group of the mapped 3D point cloud data points. The generated geometric space parameters may be used for object motion, obstacle detection, freespace detection, and/or landmark detection for an area surrounding a vehicle.


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