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:
Mar. 12, 2024

Filed:

Dec. 28, 2022
Applicant:

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

Inventors:

Chenyang Li, San Diego, CA (US);

Xiaodi Hou, San Diego, CA (US);

Siyuan Liu, San Diego, CA (US);

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/58 (2022.01); G01S 7/48 (2006.01); G01S 17/08 (2006.01); G01S 17/58 (2006.01); G01S 17/66 (2006.01); G01S 17/86 (2020.01); G01S 17/88 (2006.01); G01S 17/931 (2020.01); G08G 1/16 (2006.01);
U.S. Cl.
CPC ...
G06V 20/58 (2022.01); G01S 7/4808 (2013.01); G01S 17/08 (2013.01); G01S 17/58 (2013.01); G01S 17/66 (2013.01); G01S 17/86 (2020.01); G01S 17/88 (2013.01); G01S 17/931 (2020.01); G08G 1/166 (2013.01);
Abstract

A vehicle position and velocity estimation system based on camera and LIDAR data is disclosed. An embodiment includes: receiving input object data from a subsystem of a vehicle, the input object data including image data from an image generating device and distance data from a distance measuring device, the distance measuring device comprising one or more LIDAR sensors; determining a first position of a proximate object near the vehicle from the image data; determining a second position of the proximate object from the distance data; correlating the first position and the second position by matching the first position of the proximate object detected in the image data with the second position of the same proximate object detected in the distance data; determining a three-dimensional (3D) position of the proximate object using the correlated first and second positions; and using the 3D position of the proximate object to navigate the vehicle.


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