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:
Jun. 13, 2023

Filed:

Aug. 02, 2022
Applicant:

Cyngn, Inc., Menlo Park, CA (US);

Inventors:

Biao Ma, Sunnyvale, CA (US);

Lior Tal, San Diego, CA (US);

Assignee:

CYNGN, INC., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 40/04 (2006.01); G05B 13/04 (2006.01); B60W 60/00 (2020.01); B60W 50/00 (2006.01); B60W 50/06 (2006.01);
U.S. Cl.
CPC ...
B60W 60/0011 (2020.02); B60W 40/04 (2013.01); B60W 50/0097 (2013.01); B60W 50/06 (2013.01); B60W 60/0015 (2020.02); B60W 60/0027 (2020.02); B60W 60/00274 (2020.02); G05B 13/048 (2013.01); B60W 2050/0005 (2013.01); B60W 2050/065 (2013.01); B60W 2554/4045 (2020.02); B60W 2554/802 (2020.02); B60W 2556/30 (2020.02); B60W 2556/40 (2020.02);
Abstract

A method may include obtaining one or more inputs in which each of the inputs describes at least one of: a state of an autonomous vehicle (AV) or a state of an object; and identifying a prediction context of the AV based on the inputs. The method may also include determining a relevancy of each object of a plurality of objects to the AV in relation to the prediction context; and outputting a set of relevant objects based on the relevancy determination for each of the plurality of objects. Another method may include obtaining a set of objects designated as relevant to operation of an AV; selecting a trajectory prediction approach for a given object based on context of the AV and characteristics of the given object; predicting a trajectory of the given object using the selected trajectory prediction approach; and outputting the given object and the predicted trajectory.


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