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. 10, 2023

Filed:

Sep. 02, 2020
Applicant:

Uatc, Llc, San Francisco, CA (US);

Inventors:

Lingyun Li, Toronto, CA;

Bin Yang, Toronto, CA;

Wenyuan Zeng, Toronto, CA;

Ming Liang, Toronto, CA;

Mengye Ren, Toronto, CA;

Sean Segal, Toronto, CA;

Raquel Urtasun, Toronto, CA;

Assignee:

UATC, LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
B60W 60/00272 (2020.02); B60W 60/00276 (2020.02); G06N 20/00 (2019.01); B60W 2554/4049 (2020.02);
Abstract

A computing system can input first relative location embedding data into an interaction transformer model and receive, as an output of the interaction transformer model, motion forecast data for actors relative to a vehicle. The computing system can input the motion forecast data into a prediction model to receive respective trajectories for the actors for a current time step and respective projected trajectories for the actors for a subsequent time step. The computing system can generate second relative location embedding data based on the respective projected trajectories from the second time step. The computing system can produce second motion forecast data using the interaction transformer model based on the second relative location embedding. The computing system can determine second respective trajectories for the actors using the prediction model based on the second forecast data.


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