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:

Aug. 19, 2019
Applicant:

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

Inventors:

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

Guy Rosman, Newton, PA (US);

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

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G05D 1/02 (2020.01); G05D 1/00 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G05D 1/0088 (2013.01); G05D 1/0221 (2013.01); G06N 3/04 (2013.01);
Abstract

An embodiment takes the form of a prediction system that obtains a respective indicated similarity of trajectories in each of a plurality of combinations of observed vehicle trajectories. The prediction system, for each of the combinations, calculates a distance between respective intermediate representations, generated by a neural network, of the trajectories in the combination, and performs a training of the neural network based on a calculated loss between the distance and the indicated similarity of the trajectories in the combination. The respective calculated losses converge after performing respective trainings for the combinations. The prediction system creates an intermediate space of respective intermediate representations, generated by the neural network, of observed vehicle trajectories, and predicts a trajectory of a road agent based on a distance between a given intermediate representation in the intermediate space and an intermediate representation of an observed trajectory of the road agent generated by the neural network.


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