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:
Oct. 10, 2023

Filed:

Mar. 17, 2020
Applicant:

Nissan North America, Inc., Franklin, TN (US);

Inventors:

Omar Bentahar, Sunnyvale, CA (US);

Arec Jamgochian, Stanford, CA (US);

Kyle Hollins Wray, Fremont, CA (US);

Stefan Witwicki, San Carlos, CA (US);

Assignees:

Nissan North America, Inc., Franklin, TN (US);

Renault S.A.S., Boulogne-Billancourt, FR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2006.01); B60W 60/00 (2020.01); B60W 50/00 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G05D 1/0088 (2013.01); B60W 50/00 (2013.01); B60W 60/001 (2020.02); G06N 20/00 (2019.01); B60W 2050/0028 (2013.01); B60W 2420/52 (2013.01); G05D 2201/0213 (2013.01);
Abstract

An apparatus for post-processing of a decision-making model of an autonomous vehicle receives a decision-making model including a plurality of states. The model is processed using multivariate data that comprises values for at least three observations of a vehicle operational scenario. A slice of the model decision space is generated by fixing values of all except two observations, and modifying the values of the two observations to obtain multiple alternative solutions for the model. The alternative solutions and the modified values form the slice. Each alternative solution is associated with a respective first value of a first observation and a respective second value of a second observation. The apparatus also generates a solution to a modified decision-making model that is the model modified by, for at least one state and at least one of the two observations, modifying a probabilistic transition matrix, a probabilistic observation matrix, or both.


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