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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.

Patent No.:

US 11718311 B1

PDFFull Text
Date of Patent:
Aug. 08, 2023

Filed:

Mar. 09, 2020

Data integration from multiple sensors

Applicant:

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

Inventors:

Lingting Ge, San Diego, CA (US);

Yijie Wang, San Diego, CA (US);

Yiqian Gan, San Diego, CA (US);

Jianan Hao, Beijing, CN;

Xiaodi Hou, San Diego, CA (US);

Assignees:

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

BEIJING TUSEN WEILAI TECHNOLOGY CO., LTD., Beijing, CN;

Attorneys:

Paul Liu

Glenn Theodore Mathews

Perkins Coie, LLP

Primary Examiner:

Anne Marie Antonucci

Assistant Examiner:

Connor L Knight

Int. Cl.
CPC ...
G06T 7/73 (2017.01); G01S 17/931 (2020.01); B60W 10/20 (2006.01); G01S 7/00 (2006.01); G01S 17/89 (2020.01); G05D 1/00 (2006.01); G05D 1/02 (2020.01); B60W 50/14 (2020.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/80 (2022.01); G06V 20/56 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
B60W 50/14 (2013.01); B60W 10/20 (2013.01); G01S 7/003 (2013.01); G01S 17/89 (2013.01); G01S 17/931 (2020.01); G05D 1/0094 (2013.01); G05D 1/0248 (2013.01); G06T 7/74 (2017.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/806 (2022.01); G06V 20/56 (2022.01); G06V 20/647 (2022.01); B60W 2420/42 (2013.01); B60W 2420/52 (2013.01); G06T 2207/30244 (2013.01); G06T 2210/12 (2013.01);
Abstract

Disclosed are methods and devices related to autonomous driving. In one aspect, a method is disclosed. The method includes determining three-dimensional bounding indicators for one or more first objects in road target information captured by a light detection and ranging (LIDAR) sensor; determining camera bounding indicators for one or more second objects in road image information captured by a camera sensor; processing the road image information to generate a camera matrix; determining projected bounding indicators from the camera matrix and the three-dimensional bounding indicators; determining, from the projected bounding indicators and the camera bounding indicators, associations between the one or more first objects and the one or more second objects to generate combined target information; and applying, by the autonomous driving system, the combined target information to produce a vehicle control signal.

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