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. 17, 2023

Filed:

Oct. 30, 2018
Applicant:

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

Inventors:

Shenlong Wang, Toronto, CA;

Wei-Chiu Ma, Toronto, CA;

Shun Da Suo, Toronto, CA;

Raquel Urtasun, Toronto, CA;

Ming Liang, Toronto, CA;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06K 9/00 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G05D 1/0248 (2013.01); G05D 1/0251 (2013.01); G05D 1/0257 (2013.01); G06K 9/00 (2013.01); G06N 3/0454 (2013.01);
Abstract

Systems and methods are provided for machine-learned models including convolutional neural networks that generate predictions using continuous convolution techniques. For example, the systems and methods of the present disclosure can be included in or otherwise leveraged by an autonomous vehicle. In one example, a computing system can perform, with a machine-learned convolutional neural network, one or more convolutions over input data using a continuous filter relative to a support domain associated with the input data, and receive a prediction from the machine-learned convolutional neural network. A machine-learned convolutional neural network in some examples includes at least one continuous convolution layer configured to perform convolutions over input data with a parametric continuous kernel.


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