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:
Sep. 26, 2023

Filed:

Nov. 23, 2020
Applicant:

Argo Ai, Llc, Pittsburgh, PA (US);

Inventors:

Jelena Frtunikj, Bavaria, DE;

Daniel Alfonsetti, Auburn, ME (US);

Assignee:

ARGO AI, LLC, Pittsburgh, PA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/774 (2022.01); G06N 20/00 (2019.01); G06V 10/20 (2022.01); G06V 20/56 (2022.01); G06F 18/214 (2023.01); G06F 18/2115 (2023.01); G06V 10/772 (2022.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
G06V 10/774 (2022.01); G06F 18/2115 (2023.01); G06F 18/2148 (2023.01); G06N 20/00 (2019.01); G06V 10/255 (2022.01); G06V 10/772 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01); G06V 20/588 (2022.01); G06V 20/64 (2022.01);
Abstract

Systems and methods for selecting data for training a machine learning model using active learning are disclosed. The methods include receiving a plurality of unlabeled sensor data logs corresponding to surroundings of an autonomous vehicle, identifying one or more trends associated with a training dataset comprising a plurality of labeled data logs, determining a function for assigning an importance score to each of the plurality of unlabeled sensor data logs, using the one or more trends, using the function for assigning the importance score to each of the plurality of unlabeled sensor data logs, selecting a subset of the plurality of sensor data logs that have an importance score greater than a threshold, and using the subset of the plurality of sensor data logs for further training the machine learning model trained using the training dataset to generate an updated model.


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