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:
Jul. 23, 2024

Filed:

Jul. 02, 2020
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Zhengyu Zhang, San Jose, CA (US);

Lin Yang, San Carlos, CA (US);

Mark Damon Wheeler, Saratoga, CA (US);

Assignee:

NVIDIA CORPORATION, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 3/08 (2006.01); B60W 60/00 (2020.01); G01S 7/481 (2006.01); G01S 7/497 (2006.01); G01S 17/10 (2020.01); G01S 17/89 (2020.01); G01S 17/894 (2020.01); G01S 17/931 (2020.01); G06T 7/73 (2017.01); G06T 7/80 (2017.01); G06V 10/44 (2022.01); G06V 10/75 (2022.01); G06V 20/56 (2022.01); G05D 1/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/80 (2017.01); B60W 60/00 (2020.02); G01S 7/4814 (2013.01); G01S 7/4817 (2013.01); G01S 7/497 (2013.01); G01S 17/10 (2013.01); G01S 17/89 (2013.01); G01S 17/894 (2020.01); G01S 17/931 (2020.01); G06T 7/74 (2017.01); G06V 10/44 (2022.01); G06V 10/751 (2022.01); G06V 20/56 (2022.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); G05D 1/0231 (2013.01);
Abstract

According to an aspect of an embodiment, operations may comprise receiving a LIDAR scan of a scene from a LIDAR of a vehicle with the scene comprising a board, detecting the board in the LIDAR scan, fitting a plane through LIDAR coordinates corresponding to the detected board, projecting the plane from the LIDAR coordinates to a first set of camera coordinates, detecting the board in a camera image from a camera of the vehicle at a second set of camera coordinates, and calibrating the LIDAR of the vehicle and the camera of the vehicle by determining a transform between the first set of camera coordinates and the second set of camera coordinates.


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