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:
Oct. 15, 2024

Filed:

Sep. 10, 2021
Applicant:

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

Inventors:

Guy Hotson, Mountain View, CA (US);

Richard L. Kwant, San Bruno, CA (US);

Deva K. Ramanan, Pittsburgh, PA (US);

Nicolas Cebron, Sunnyvale, CA (US);

Chao Fang, Sunnyvale, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06N 3/02 (2006.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
B60W 60/001 (2020.02); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06N 3/02 (2013.01); G06V 20/58 (2022.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01);
Abstract

Methods and systems for detecting objects near an autonomous vehicle (AV) are disclosed. An AV will capture an image. A trained network will process the image at a lower resolution and generate a first feature map that classifies object(s) within the image. The system will crop the image and use the network to process the cropped section at a higher resolution to generate a second feature map that classifies object(s) that appear within the cropped section. The system will crop the first feature map to match a corresponding region of the cropped section of the image. The system will fuse the cropped first and second feature maps to generate a third feature map. The system may output the object classifications in the third feature map to an AV system, such as a motion planning system that will use the object classifications to plan a trajectory for the AV.


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