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:
Oct. 29, 2024

Filed:

Feb. 14, 2023
Applicant:

Tsinghua University, Beijing, CN;

Inventors:

Shaobing Xu, Beijing, CN;

Shangyi Li, Beijing, CN;

Shuocheng Yang, Beijing, CN;

Jianqiang Wang, Beijing, CN;

Shengbo Li, Beijing, CN;

Bo Cheng, Beijing, CN;

Keqiang Li, Beijing, CN;

Assignee:

TSINGHUA UNIVERSITY, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 19/00 (2011.01); B60W 40/02 (2006.01); B60W 60/00 (2020.01); G01M 17/007 (2006.01); G06T 19/20 (2011.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
G06T 19/006 (2013.01); B60W 40/02 (2013.01); B60W 60/00 (2020.02); G01M 17/007 (2013.01); G06T 19/20 (2013.01); G06V 20/56 (2022.01); B60W 2556/45 (2020.02);
Abstract

The embodiments provide a method of augmenting environmental scenes and an autonomous vehicle testing system. The method includes: obtaining, from an autonomous vehicle, image data representing an image, which depicts an environment where the autonomous vehicle drives; generating virtual object graphics representing virtual object(s) that, when rendered over the image, result in an object-augmented image; generating global scene graphics based on the object-augmented image that, when rendered along with the object-augmented image, result in a visual representation as the environment would appear when experiencing predetermined weather conditions; generating detailed weather effect graphics representing detailed weather effect(s); generating a composite weather-object-augmented image based on the virtual object graphics, the global scene graphics, and the detailed weather effect graphics; and causing the composite weather-object-augmented image to be inputted into an onboard vehicle controller of the autonomous vehicle.


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