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:
Jan. 31, 2023

Filed:

Jan. 15, 2021
Applicant:

The Regents of the University of Michigan, Ann Arbor, MI (US);

Inventors:

Geunseob Oh, Ann Arbor, MI (US);

Huei Peng, Ann Arbor, MI (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B60W 40/04 (2006.01); G06N 3/08 (2006.01); H04W 4/46 (2018.01); H04W 4/44 (2018.01);
U.S. Cl.
CPC ...
B60W 60/0027 (2020.02); B60W 40/04 (2013.01); G06N 3/08 (2013.01); H04W 4/44 (2018.02); H04W 4/46 (2018.02); B60W 2554/4042 (2020.02); B60W 2554/4045 (2020.02); B60W 2554/80 (2020.02); B60W 2556/65 (2020.02);
Abstract

A system and method for determining a predicted trajectory of a human-driven host vehicle as the human-driven host vehicle approaches a traffic signal. The method includes: obtaining a host vehicle-traffic light distance dand a longitudinal host vehicle speed vthat are each taken when the human-driven host vehicle approaches the traffic signal; obtaining a traffic light signal phase Pand an traffic light signal timing T; obtaining a time of day TOD; providing the host vehicle-traffic light distance d, the longitudinal host vehicle speed v, the traffic light signal phase P, the traffic light signal timing T, and the time of day TOD as input into an artificial intelligence (AI) vehicle trajectory prediction application, wherein the AI vehicle trajectory prediction application implements an AI vehicle trajectory prediction model; and determining the predicted trajectory of the human-driven host vehicle using the AI vehicle trajectory prediction application.


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