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:
May. 05, 2026

Filed:

Jul. 22, 2022
Applicant:

Motional Ad Llc, Boston, MA (US);

Inventors:

Sammy Omari, Pittsburgh, PA (US);

Kevin C. Gall, Dover, NH (US);

Juraj Kabzan, Boston, MA (US);

Hans Andersen, Singapore, SG;

Bence Cserna, Nahant, MA (US);

Scott Drew Pendleton, Singapore, SG;

Assignee:

Motional AD LLC, Boston, MA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 30/09 (2012.01); B60W 10/04 (2006.01); B60W 10/18 (2012.01); B60W 10/20 (2006.01); B60W 30/095 (2012.01); B60W 60/00 (2020.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
B60W 30/09 (2013.01); B60W 10/18 (2013.01); B60W 30/0953 (2013.01); B60W 30/0956 (2013.01); B60W 60/0015 (2020.02); B60W 60/0027 (2020.02); G06V 20/58 (2022.01); B60W 10/04 (2013.01); B60W 10/20 (2013.01); B60W 2554/4026 (2020.02); B60W 2554/4029 (2020.02);
Abstract

Provided are methods and systems for semantic behavior filtering for prediction improvement. A method for operating an autonomous vehicle is provided. The method includes obtaining, by at least one processor, semantic image data associated with an environment in which an autonomous vehicle is operating. The method includes determining, by the at least one processor, at least one agent in the environment. The method includes determining a predicted action for the at least one agent. The method includes determining an agent predicted path for the at least one agent. The method includes determining a vehicle path of the autonomous vehicle. The method includes determining a predicted collision of the at least one agent and the autonomous vehicle. The method includes simulating actions to avoid the predicted collision. The method includes categorizing the predicted collision as a primary predicted collision based on the simulating actions.


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