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:
Feb. 04, 2020

Filed:

Apr. 25, 2017
Applicant:

Tusimple, 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, San Diego, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G01S 17/58 (2006.01); G01S 17/66 (2006.01); G01S 17/08 (2006.01); G01S 17/02 (2020.01); G01S 17/88 (2006.01); G08G 1/16 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00805 (2013.01); G01S 17/023 (2013.01); G01S 17/08 (2013.01); G01S 17/58 (2013.01); G01S 17/66 (2013.01); G01S 17/88 (2013.01); G08G 1/166 (2013.01);
Abstract

A vehicle position and velocity estimation based on camera and LIDAR data are disclosed. A particular embodiment includes: receiving input object data from a subsystem of an autonomous vehicle, the input object data including image data from an image generating device and distance data from a distance measuring device; determining a two-dimensional (2D) position of a proximate object near the autonomous vehicle using the image data received from the image generating device; tracking a three-dimensional (3D) position of the proximate object using the distance data received from the distance measuring device over a plurality of cycles and generating tracking data; determining a 3D position of the proximate object using the 2D position, the distance data received from the distance measuring device, and the tracking data; determining a velocity of the proximate object using the 3D position and the tracking data; and outputting the 3D position and velocity of the proximate object relative to the autonomous vehicle.


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