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. 21, 2025

Filed:

May. 24, 2021
Applicant:

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

Inventors:
Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60K 31/00 (2006.01); G01S 17/89 (2020.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06T 7/20 (2017.01); G06T 7/246 (2017.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
G06T 7/70 (2017.01); B60K 31/0008 (2013.01); G01S 17/89 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 7/20 (2013.01); G06T 7/248 (2017.01); G06T 7/90 (2017.01); G06V 20/58 (2022.01); B60K 2031/0016 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30241 (2013.01); G06T 2207/30252 (2013.01);
Abstract

Systems and methods for detecting and tracking objects are provided. In one example, a computer-implemented method includes receiving sensor data from one or more sensors. The method includes inputting the sensor data to one or more machine-learned models including one or more first neural networks configured to detect one or more objects based at least in part on the sensor data and one or more second neural networks configured to track the one or more objects over a sequence of sensor data. The method includes generating, as an output of the one or more first neural networks, a 3D bounding box and detection score for a plurality of object detections. The method includes generating, as an output of the one or more second neural networks, a matching score associated with pairs of object detections. The method includes determining a trajectory for each object detection.


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