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:
Aug. 25, 2026

Filed:

May. 21, 2022
Applicant:

Royal Bank of Canada, Toronto, CA;

Inventors:

Alexander Radovic, Toronto, CA;

Jiawei He, Vancouver, CA;

Janahan Mathuran Ramanan, Toronto, CA;

Marcus Anthony Brubaker, Toronto, CA;

Andreas Steffen Michael Lehrmann, Vancouver, CA;

Assignee:

ROYAL BANK OF CANADA, Toronto, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/047 (2023.01); B60W 50/00 (2006.01); B60W 60/00 (2020.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06N 3/047 (2023.01); B60W 50/0097 (2013.01); B60W 60/0027 (2020.02); G06N 3/08 (2013.01); B60W 2554/4029 (2020.02); B60W 2554/4041 (2020.02);
Abstract

The methods and systems are directed to computational approaches for training and using machine learning algorithms to predict the conditional marginal distributions of the position of agents at flexible evaluation horizons and can enables more efficient path planning. These methods model agent movement by training a deep neural network to predict the position of an agent through time. A neural ordinary differential equation (neural ODE) that represents this neural network can be used to determine the log-likelihood of the agent's position as it moves in time.


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