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:
Aug. 12, 2025

Filed:

Nov. 27, 2023
Applicant:

Aurora Operations, Inc., Pittsburgh, PA (US);

Inventors:

Sergio Casas, Toronto, CA;

Cole Christian Gulino, Pittsburgh, PA (US);

Shun Da Suo, Toronto, CA;

Katie Z. Luo, Sunnyvale, CA (US);

Renjie Liao, Toronto, CA;

Raquel Urtasun, Toronto, CA;

Assignee:

AURORA OPERATIONS, INC., Pittsburgh, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); B60W 60/00 (2020.01); G05D 1/00 (2024.01); G06F 18/2137 (2023.01); G06V 20/58 (2022.01); G06V 30/19 (2022.01); G06V 30/24 (2022.01); G08G 1/16 (2006.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); B60W 60/0027 (2020.02); G05D 1/0212 (2013.01); G06F 18/2137 (2023.01); G06V 20/58 (2022.01); G06V 30/19173 (2022.01); G08G 1/166 (2013.01); G06V 30/2504 (2022.01);
Abstract

A computer-implemented method for determining scene-consistent motion forecasts from sensor data can include obtaining scene data including one or more actor features. The computer-implemented method can include providing the scene data to a latent prior model, the latent prior model configured to generate scene latent data in response to receipt of scene data, the scene latent data including one or more latent variables. The computer-implemented method can include obtaining the scene latent data from the latent prior model. The computer-implemented method can include sampling latent sample data from the scene latent data. The computer-implemented method can include providing the latent sample data to a decoder model, the decoder model configured to decode the latent sample data into a motion forecast including one or more predicted trajectories of the one or more actor features. The computer-implemented method can include receiving the motion forecast including one or more predicted trajectories of the one or more actor features from the decoder model.


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