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:
Oct. 15, 2024

Filed:

Oct. 13, 2020
Applicant:

Cepton Technologies, Inc., San Jose, CA (US);

Inventors:

Dongyi Liao, Mountain View, CA (US);

Zukai Wang, San Jose, CA (US);

Mark A. McCord, Los Gatos, CA (US);

Chao Gu, Ottawa, CA;

Assignee:

Cepton Technologies, Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 7/497 (2006.01); G01B 11/06 (2006.01); G01S 7/48 (2006.01); G01S 7/481 (2006.01); G01S 17/86 (2020.01); G01S 17/89 (2020.01); G01S 17/894 (2020.01); G01S 17/931 (2020.01); G06T 7/80 (2017.01); G06T 19/20 (2011.01); G05D 1/00 (2006.01); G05D 1/249 (2024.01);
U.S. Cl.
CPC ...
G01S 7/4972 (2013.01); G01B 11/0608 (2013.01); G01S 7/4808 (2013.01); G01S 7/481 (2013.01); G01S 7/4811 (2013.01); G01S 17/86 (2020.01); G01S 17/89 (2013.01); G01S 17/894 (2020.01); G01S 17/931 (2020.01); G06T 7/80 (2017.01); G06T 19/20 (2013.01); G05D 1/0231 (2013.01); G05D 1/249 (2024.01); G06T 2207/10028 (2013.01); G06T 2207/30252 (2013.01); G06T 2219/20 (2013.01);
Abstract

A method of calibrating a LiDAR sensor mounted on a vehicle includes storing a reference three-dimensional image acquired by the LiDAR sensor while the LiDAR sensor is in an expected alignment with respect to the vehicle. The reference three-dimensional image includes a first image of a fixed feature on the vehicle. The method further includes, acquiring, using the LiDAR sensor, a three-dimensional image including a second image of the fixed feature, and determining a deviation from the expected alignment of the LiDAR sensor with respect to the vehicle by comparing the second image of the fixed feature in the three-dimensional image to the first image of the fixed feature in the reference three-dimensional image.


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