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:
Apr. 11, 2023

Filed:

Oct. 26, 2020
Applicant:

Hrl Laboratories, Llc, Malibu, CA (US);

Inventors:

Heiko Hoffmann, Simi Valley, CA (US);

Soheil Kolouri, Agoura Hills, CA (US);

Assignee:

HRL LABORATORIES, LLC, Malibu, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); B60W 50/06 (2006.01); G06N 20/00 (2019.01); G06N 3/02 (2006.01); B60W 60/00 (2020.01);
U.S. Cl.
CPC ...
G06K 9/6259 (2013.01); B60W 50/06 (2013.01); B60W 60/00272 (2020.02); G06K 9/627 (2013.01); G06K 9/6215 (2013.01); G06K 9/6255 (2013.01); G06N 3/02 (2013.01); G06N 20/00 (2019.01); B60W 2420/42 (2013.01);
Abstract

Described is a system for learning object labels for control of an autonomous platform. Pseudo-task optimization is performed to identify an optimal pseudo-task for each source model of one or more source models. An initial target network is trained using the optimal pseudo-task. Source image components are extracted from source models, and an attribute dictionary of attributes is generated from the source image components. Using zero-shot attribution distillation, the unlabeled target data is aligned with the source models similar to the unlabeled target data. The unlabeled target data are mapped onto attributes in the attribute dictionary. A new target network is generated from the mapping, and the new target network is used to assign an object label to an object in the unlabeled target data. The autonomous platform is controlled based on the object label.


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