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. 03, 2023

Filed:

Jul. 18, 2022
Applicant:

Pony Ai Inc., Grand Cayman, KY;

Inventors:

Hao Song, Sunnyvale, CA (US);

Jun Peng, Fremont, CA (US);

Nengxiu Deng, Fremont, CA (US);

Sinan Xiao, Mountain View, CA (US);

Tao Qin, Sunnyvale, CA (US);

Tiancheng Lou, Milpitas, CA (US);

Tianyi Li, Milpitas, CA (US);

Xiang Yu, Santa Clara, CA (US);

Yubo Zhang, Los Gatos, CA (US);

Assignee:

Pony AI Inc., Grand Cayman, KY;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); B60W 50/06 (2006.01); G06N 20/00 (2019.01); G05D 1/00 (2006.01); G06N 3/088 (2023.01); G06N 3/045 (2023.01); B60W 50/00 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0221 (2013.01); B60W 50/06 (2013.01); G05D 1/0088 (2013.01); G06N 3/045 (2023.01); G06N 3/088 (2013.01); G06N 20/00 (2019.01); B60W 2050/0028 (2013.01); B60W 2050/0088 (2013.01); G05D 2201/0213 (2013.01);
Abstract

A computer-implemented method and a system for training a computer-based autonomous driving model used for an autonomous driving operation by an autonomous vehicle are described. The method includes: creating time-dependent three-dimensional (3D) traffic environment data using at least one of real traffic element data and simulated traffic element data; creating simulated time-dependent 3D traffic environmental data by applying a time-dependent 3D generic adversarial network (GAN) model to the created time-dependent 3D traffic environment data; and training a computer-based autonomous driving model using the simulated time-dependent 3D traffic environmental data.


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