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:
Dec. 15, 2020

Filed:

Jun. 13, 2017
Applicant:

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

Inventors:

Yi Wang, San Diego, CA (US);

Bolun Zhang, San Diego, CA (US);

Yi Luo, San Diego, CA (US);

Ke Xu, San Diego, CA (US);

Assignee:

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

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01C 21/16 (2006.01); G06K 9/40 (2006.01); G06T 7/80 (2017.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G01S 7/497 (2006.01); G01S 17/89 (2020.01); G01C 21/26 (2006.01); G01S 17/86 (2020.01); G01S 17/931 (2020.01);
U.S. Cl.
CPC ...
G01C 21/165 (2013.01); G01C 21/26 (2013.01); G01S 7/497 (2013.01); G01S 17/86 (2020.01); G01S 17/89 (2013.01); G01S 17/931 (2020.01); G06K 9/00201 (2013.01); G06K 9/00791 (2013.01); G06K 9/40 (2013.01); G06K 9/6211 (2013.01); G06K 9/6256 (2013.01); G06T 7/80 (2017.01); G06T 2207/10016 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/30208 (2013.01); G06T 2207/30244 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A system for generating a ground truth dataset for motion planning is disclosed. The system includes sensors for data acquisition for motion planning of a vehicle, the sensors including a LiDAR; a calculating module configured to calculate LiDAR poses in response to data from the sensors and generate undistorted LiDAR scans; an extracting module configured to extract static points from a target undistorted LiDAR scan and generate a LiDAR static-scene point cloud; and a generating module configured to generate sparse image point correspondences for each pair of images, using the LiDAR static-scene point cloud.


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