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:
Mar. 11, 2025

Filed:

May. 23, 2024
Applicant:

Aurora Operations, Inc., Pittsburgh, PA (US);

Inventors:

Raquel Urtasun, Toronto, CA;

Min Bai, Toronto, CA;

Shenlong Wang, Toronto, CA;

Assignee:

AURORA OPERATIONS, INC., Pittsburgh, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 17/931 (2020.01); G06T 7/10 (2017.01); G06T 7/70 (2017.01); G06T 17/00 (2006.01); G06T 17/10 (2006.01); G06V 10/26 (2022.01); G06V 10/80 (2022.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
G01S 17/931 (2020.01); G06T 7/10 (2017.01); G06T 7/70 (2017.01); G06T 17/00 (2013.01); G06T 17/10 (2013.01); G06V 10/26 (2022.01); G06V 10/803 (2022.01); G06V 20/56 (2022.01); G06V 20/582 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01);
Abstract

Systems and methods for identifying travel way features in real time are provided. A method can include receiving two-dimensional and three-dimensional data associated with the surrounding environment of a vehicle. The method can include providing the two-dimensional data as one or more input into a machine-learned segmentation model to output a two-dimensional segmentation. The method can include fusing the two-dimensional segmentation with the three-dimensional data to generate a three-dimensional segmentation. The method can include storing the three-dimensional segmentation in a classification database with data indicative of one or more previously generated three-dimensional segmentations. The method can include providing one or more datapoint sets from the classification database as one or more inputs into a machine-learned enhancing model to obtain an enhanced three-dimensional segmentation. And, the method can include identifying one or more travel way features based at least in part on the enhanced three-dimensional segmentation.


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