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:
Aug. 31, 2021

Filed:

Nov. 30, 2018
Applicant:

Lyft, Inc., San Francisco, CA (US);

Inventors:

Forrest Samuel Briggs, Palo Alto, CA (US);

Lei Zhang, Campbell, CA (US);

Assignee:

Lyft, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 7/497 (2006.01); G06T 7/80 (2017.01); G06T 7/50 (2017.01); G06T 7/30 (2017.01); H04N 5/247 (2006.01); G06T 7/73 (2017.01); G01S 17/86 (2020.01);
U.S. Cl.
CPC ...
G01S 7/4972 (2013.01); G01S 17/86 (2020.01); G06T 7/30 (2017.01); G06T 7/50 (2017.01); G06T 7/73 (2017.01); G06T 7/80 (2017.01); H04N 5/247 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20024 (2013.01); G06T 2207/30204 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A method includes capturing, by a plurality of image sensors on an automotive vehicle, image data associated with one or more calibration objects in an environment, and capturing, by a LiDAR sensor, a three-dimensional LiDAR point cloud based on LiDAR data. The method further comprises generating a three-dimensional image point cloud based on the image data and the three-dimensional LiDAR point cloud, mapping a first alignment plane of the three-dimensional image point cloud relative to a second alignment plane of the three-dimensional LiDAR point cloud for each of the calibration objects to determine an angle between the first alignment plane and second alignment plane, and calibrating the LiDAR sensor relative to the image sensors by determining a degree of rotation of the LiDAR sensor to minimize the angle between the first alignment plane and second alignment plane.


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