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:
Nov. 11, 2025

Filed:

Nov. 28, 2022
Applicant:

Tusimple, Inc., San Diego, CA (US);

Inventors:

Panqu Wang, San Diego, CA (US);

Yu Wang, San Diego, CA (US);

Xiangchen Zhao, San Diego, CA (US);

Dongqiangzi Ye, San Diego, CA (US);

Assignee:

TUSIMPLE, INC., San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B60W 40/04 (2006.01); G01S 17/89 (2020.01); G01S 17/931 (2020.01); G06V 20/58 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
B60W 60/0011 (2020.02); B60W 40/04 (2013.01); G01S 17/89 (2013.01); G01S 17/931 (2020.01); G06V 20/58 (2022.01); G06V 20/70 (2022.01); B60W 2300/145 (2013.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); B60W 2556/20 (2020.02);
Abstract

Autonomous vehicles can include systems and apparatus for performing signal processing on point cloud data from Light Detection and Ranging (LiDAR) devices located on the autonomous vehicles. A method includes obtaining, by a computer located in an autonomous vehicle, a combined point cloud data that describes a plurality of areas of an environment in which the autonomous vehicle is operating; determining that a first set of points from the combined point cloud data are located within fields of view of cameras located on the autonomous vehicle; assigning one or more labels to a second set of points from the first set of points in response to determining that the second set of points are located within bounding box(es) around object(s) in images obtained from the cameras; and causing the autonomous vehicle to operate based on characteristic(s) of the object(s) determined from the second set of points.


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