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:
Sep. 13, 2022

Filed:

Mar. 30, 2020
Applicant:

Toyota Research Institute, Inc., Los Altos, CA (US);

Inventors:

Stephen G. McGill, Jr., Broomall, PA (US);

Guy Rosman, Newton, MA (US);

Luke S. Fletcher, Cambridge, MA (US);

Brent Schlotfeldt, Philadelphia, PA (US);

Assignee:

Toyota Research Institute, Inc., Los Altos, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G08G 1/01 (2006.01); G05D 1/02 (2020.01);
U.S. Cl.
CPC ...
G05D 1/0088 (2013.01); G05D 1/0214 (2013.01); G06N 3/0427 (2013.01); G06N 3/0454 (2013.01); G06N 3/088 (2013.01); G08G 1/0108 (2013.01); G08G 1/0129 (2013.01); G08G 1/0145 (2013.01); G05D 2201/0213 (2013.01);
Abstract

Systems and methods for generating driving recommendations are disclosed herein. One embodiment divides automatically a roadway into a plurality of lane-level cells; generates a graph network that represents the plurality of lane-level cells; gathers information pertaining to one or more detected road agents; projects onto the graph network the gathered information pertaining to the one or more detected road agents to update a current status of the plurality of lane-level cells; processes the graph network based on the updated current status of the plurality of lane-level cells to predict a future status of the plurality of lane-level cells, the predicted future status including at least occupancy, by a detected road agent, of the respective lane-level cells in the plurality of lane-level cells; and generates a driving recommendation based, at least in part, on the predicted future status of the plurality of lane-level cells.


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