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. 06, 2024

Filed:

Jul. 26, 2021
Applicant:

Motional Ad Llc, Boston, MA (US);

Inventors:

Paul Schmitt, Merrimack, NH (US);

Yimu Wang, Pittsburgh, PA (US);

Assignee:

Motional AD LLC, Boston, MA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G01C 21/16 (2006.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); H04W 4/46 (2018.01);
U.S. Cl.
CPC ...
B60W 60/001 (2020.02); G01C 21/1652 (2020.08); G06F 18/214 (2023.01); G06N 20/00 (2019.01); H04W 4/46 (2018.02); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01);
Abstract

Provided are methods for semantic annotation of sensor data using unreliable map annotation inputs, which can include training a machine learning model to accept inputs including images representing sensor data for a geographic area and unreliable semantic annotations for the geographic area. The machine learning model can be trained against validated semantic annotations for the geographic area, such that subsequent to training, additional images representing sensor data and additional unreliable semantic annotations can be passed through the neural network to provide predicted semantic annotations for the additional images. Systems and computer program products are also provided.


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