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:
Nov. 04, 2025

Filed:

Jun. 13, 2025
Applicant:

Tongji University, Shanghai, CN;

Inventors:

Jian Sun, Shanghai, CN;

Peng Hang, Shanghai, CN;

Aijing Kong, Shanghai, CN;

Assignee:

Tongji University, Shanghai, CN;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B60W 30/10 (2006.01); B60W 50/00 (2006.01); B60W 50/04 (2006.01); G05B 13/02 (2006.01); B60W 30/12 (2020.01); B60W 30/18 (2012.01);
U.S. Cl.
CPC ...
B60W 60/001 (2020.02); B60W 50/0097 (2013.01); B60W 50/045 (2013.01); G05B 13/0265 (2013.01); B60W 30/12 (2013.01); B60W 30/18163 (2013.01); B60W 2050/0022 (2013.01); B60W 2050/0026 (2013.01); B60W 2050/0028 (2013.01); B60W 2520/10 (2013.01); B60W 2520/105 (2013.01); B60W 2520/12 (2013.01); B60W 2520/125 (2013.01); B60W 2552/10 (2020.02);
Abstract

The present invention proposes an autonomous driving testing method based on multi-alliance cluster confrontation, aiming to improve the efficiency and accuracy of autonomous driving simulation test, and comprising S—initialization of testing environment of autonomous driving; S—decision-making for dividing background vehicle clusters; S—decision-making for confrontation behaviors of the background vehicles; S—trajectory planning for the background vehicles; and S—looping through the steps S, S, and Suntil cluster confrontation testing tasks are completed. The method of the present invention uses reinforcement learning and alliance games to dynamically generate testing scenarios that are highly confrontational to vehicles being tested, which can find dangerous boundary scenarios for autonomous driving more quickly and improve the efficiency of simulation testing.


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