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:
Nov. 07, 2023

Filed:

Jul. 28, 2020
Applicant:

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

Inventors:

Blake Warren Wulfe, San Francisco, CA (US);

Guy Rosman, Newton, MA (US);

Noah J. Epstein, Cambridge, MA (US);

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

Assignee:

TOYOTA RESEARCH INSTITUTE, INC., Los Altos, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G06N 5/02 (2023.01); G07C 5/08 (2006.01); B60W 30/095 (2012.01); G08G 1/00 (2006.01); G01C 21/34 (2006.01);
U.S. Cl.
CPC ...
B60W 60/0016 (2020.02); B60W 30/0956 (2013.01); B60W 60/0011 (2020.02); B60W 60/0027 (2020.02); G01C 21/3407 (2013.01); G06N 5/02 (2013.01); G07C 5/085 (2013.01); G08G 1/22 (2013.01);
Abstract

Systems and methods of model or prediction algorithm selection are provided. An autonomous control system may include a perception component that, based on environmental inputs regarding an object(s), a vehicle's operating characteristics, etc., outputs a current state of the vehicle's surrounding environment. This in turn, is used as input to a prediction component comprising a plurality of prediction algorithms. The prediction component outputs a set of predictions regarding the trajectory of the object(s). Accordingly, for each object, a set of trajectories at specific timesteps may be generated by the different prediction algorithms which are input to a planner component. These trajectories may then be analyzed, compared, or otherwise processed to determine which trajectory regarding the object is most accurate. The prediction algorithm or model that produced the most accurate predicted trajectory may then be used for subsequent predictions/timesteps.


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