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:
Jan. 25, 2022

Filed:

Nov. 08, 2018
Applicant:

Baidu Usa Llc, Sunnyvale, CA (US);

Inventors:

Haoyang Fan, Sunnyvale, CA (US);

Qi Kong, Sunnyvale, CA (US);

Zhongpu Xia, Sunnyvale, CA (US);

Changchun Liu, Sunnyvale, CA (US);

Yaqin Chen, Sunnyvale, CA (US);

Fan Zhu, Sunnyvale, CA (US);

Assignee:

BAIDU USA LLC, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G05D 1/00 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0221 (2013.01); G05D 1/0088 (2013.01); G05D 1/0248 (2013.01); G05D 1/0257 (2013.01); G05D 1/0268 (2013.01); G05D 1/0278 (2013.01); G05D 2201/0213 (2013.01);
Abstract

According to an embodiment, a system generates a number of sample trajectories from a trajectory sample space for a driving scenario. The system determines a reward based on a reward model for each of the sample trajectories, where the reward model is generated using a rank based conditional inverse reinforcement learning algorithm. The system ranks the sample trajectories based on the determined rewards. The system determines a highest ranked trajectory based on the ranking. The system selects the highest ranked trajectory to control the ADV autonomously according to the highest ranked trajectory.


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