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:
Dec. 16, 2025

Filed:

Mar. 29, 2023
Applicant:

Motional Ad Llc, Boston, MA (US);

Inventors:

Caglayan Dicle, Melrose, MA (US);

Sammy Omari, Pittsburgh, PA (US);

Nanxiang Li, Livermore, CA (US);

Sang Uk Lee, Cambridge, MA (US);

Eric Wolff, Zephyr Cove, NV (US);

Assignee:

Motional AD LLC, Boston, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B60W 50/00 (2006.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01); G06T 11/40 (2006.01);
U.S. Cl.
CPC ...
B60W 60/0011 (2020.02); B60W 50/0097 (2013.01); G06N 3/084 (2013.01); G06T 11/40 (2013.01); B60W 2556/10 (2020.02);
Abstract

Provided are methods for generating future maneuver parameters in a planner, which include receiving at least one first set of parameters associated with one or more previous maneuvers of a vehicle and at least one second set of parameters associated with a maneuver goal of the vehicle, generating, using the first and second sets of parameters, a future maneuver parameter corresponding to a future maneuver of the vehicle, training at least one data model by comparing the generated future maneuver parameter to one or more reference maneuver parameters, generating, based on training, a corrected future maneuver parameter. The corrected future maneuver parameter includes a future maneuver of the vehicle and a correction to the future maneuver of the vehicle. The first set of parameters includes the generated corrected future maneuver parameter, which is used to correct at least one first parameter. The training is executed using the corrected first parameter.


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