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. 17, 2024

Filed:

Feb. 13, 2023
Applicant:

Aurora Operations, Inc., Mountain View, CA (US);

Inventors:

Jake Charland, Winter Park, CO (US);

Ethan Eade, Pittsburgh, PA (US);

Karthik Lakshmanan, Pittsburgh, PA (US);

Daniel Munoz, Pittsburgh, PA (US);

Samuel Sean, Oxford, GB;

Yuchen Xie, Cupertino, CA (US);

Luona Yang, Pittsburgh, PA (US);

Assignee:

AURORA OPERATIONS, INC., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G01S 7/41 (2006.01); G01S 7/48 (2006.01); G01S 13/58 (2006.01); G01S 17/66 (2006.01); G06T 15/08 (2011.01);
U.S. Cl.
CPC ...
B60W 60/001 (2020.02); G06T 15/08 (2013.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); B60W 2510/0638 (2013.01);
Abstract

A method may include obtaining lidar data comprising a plurality of lidar returns from an environment of an autonomous vehicle. The lidar data may be processed with a machine learning model to generate, for the plurality of lidar returns, a plurality of first outputs that each identify a respective lidar return as belonging to an object or non-object and a plurality of second outputs that identify lidar returns belonging to objects as harmful or non-harmful to the autonomous vehicle. A subset of the lidar returns identified as belonging to objects that (i) do not correspond to any of a plurality of pre-classified objects and (ii) were identified as harmful to the autonomous vehicle may be determined. The autonomous vehicle may be controlled based at least in part on the subset of lidar returns.


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