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. 03, 2023

Filed:

Jun. 08, 2021
Applicant:

Waymo Llc, Mountain View, CA (US);

Inventors:

Alper Ayvaci, Santa Clara, CA (US);

Yu-Han Chen, Sunnyvale, CA (US);

Ruichi Yu, Mountain View, CA (US);

Chen Wu, Cupertino, CA (US);

Noha Waheed Ahmed Radwan, Berlin, DE;

Jonathon Shlens, San Francisco, CA (US);

Assignee:

Waymo LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/73 (2017.01); G06T 7/50 (2017.01); G06K 9/62 (2022.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06T 7/73 (2017.01); G06K 9/628 (2013.01); G06K 9/6217 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 7/50 (2017.01); G06T 2207/10028 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating object interaction predictions using a neural network. One of the methods includes obtaining a sensor input derived from data generated by one or more sensors that characterizes a scene. The sensor input is provided to an object interaction neural network. The object interaction neural network is configured to process the sensor input to generate a plurality of object interaction outputs. Each respective object interaction output includes main object information and interacting object information. The respective object interaction outputs corresponding to the plurality of regions in the sensor input are received as output of the object interaction neural network.


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