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:
Mar. 12, 2024

Filed:

Oct. 29, 2021
Applicant:

Waymo Llc, Mountain View, CA (US);

Inventors:

Reza Mahjourian, Austin, TX (US);

Carlton Macdonald Downey, Mountain View, CA (US);

Benjamin Sapp, Marina del Rey, CA (US);

Dragomir Anguelov, San Francisco, CA (US);

Ekaterina Igorevna Tolstaya, Voorhees, NJ (US);

Assignee:

Waymo LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
B60W 60/00272 (2020.02); B60W 60/00274 (2020.02); G06N 3/045 (2023.01);
Abstract

Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for performing a conditional behavior prediction for one or more agents. The system obtains context data characterizing an environment. The context data includes data characterizing a plurality of agents, including a query agent and one or more target agents, in the environment at a current time point. The system further obtains data identifying a planned future trajectory for the query agent after the current time point, and for each target agent in the set, processes the context data and the data identifying the planned future trajectory using a first neural network to generate a conditional trajectory prediction output that defines a conditional probability distribution over possible future trajectories of the target agent after the current time point given that the query agent follows the planned future trajectory for the query agent after the current time point.


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