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:
Jul. 25, 2023

Filed:

Aug. 23, 2021
Applicant:

Uatc, Llc, Mountain View, CA (US);

Inventor:

Galen Clark Haynes, Pittsburgh, PA (US);

Assignee:

UATC, LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); G06N 20/00 (2019.01); G05D 1/02 (2020.01); G05D 1/00 (2006.01); B60W 30/095 (2012.01); G08G 1/01 (2006.01); B60W 40/00 (2006.01); G06V 10/764 (2022.01); G06V 20/58 (2022.01); G06T 7/70 (2017.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); B60W 30/095 (2013.01); B60W 30/0956 (2013.01); B60W 40/00 (2013.01); G05D 1/0088 (2013.01); G05D 1/0212 (2013.01); G05D 1/0221 (2013.01); G06N 20/00 (2019.01); G06T 7/70 (2017.01); G06V 10/764 (2022.01); G06V 20/58 (2022.01); G08G 1/0112 (2013.01); B60W 2554/00 (2020.02); G05D 1/0231 (2013.01); G05D 1/0257 (2013.01); G05D 2201/0213 (2013.01); G08G 1/0129 (2013.01); G08G 1/0133 (2013.01);
Abstract

Systems and methods for determining object prioritization and predicting future object locations for an autonomous vehicle are provided. A method can include obtaining, by a computing system comprising one or more processors, state data descriptive of at least a current or past state of a plurality of objects that are perceived by an autonomous vehicle. The method can further include determining, by the computing system, a priority classification for each object in the plurality of objects based at least in part on the respective state data for each object. The method can further include determining, by the computing system, an order at which the computing system determines a predicted future state for each object based at least in part on the priority classification for each object and determining, by the computing system, the predicted future state for each object based at least in part on the determined order.


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