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:
Jan. 06, 2026

Filed:

Oct. 24, 2023
Applicant:

Ford Global Technologies, Llc, Dearborn, MI (US);

Inventors:

Abdallah Chehade, Canton, MI (US);

Sari Kassar, Plymouth, MI (US);

Mayuresh Vijay Savargaonkar, Idaho Falls, ID (US);

Vijit Dubey, Windsor, CA;

Mark Douglas Malone, Canton, MI (US);

Abhay Bhivare, Novi, MI (US);

Assignee:

Ford Global Technologies, LLC, Dearborn, MI (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
B60W 30/095 (2012.01); B60W 30/085 (2012.01);
U.S. Cl.
CPC ...
B60W 30/0956 (2013.01); B60W 30/085 (2013.01); B60W 2554/4049 (2020.02);
Abstract

A computer that includes a processor and a memory, the memory including instructions executable by the processor to generate first traffic scenarios including one or more objects based on initial object locations and initial object trajectories of the one or more objects, wherein the first traffic scenarios are generated with a three-dimensional simulation engine. Probabilities of impact can be determined between the one or more objects included in the first traffic scenarios; selecting a subset of the first traffic scenarios that include the probabilities of impact greater than a user-selected threshold. Second traffic scenarios can be generated based on perturbing the selected subset of the first traffic scenarios wherein the second traffic scenarios are generated with the three-dimensional simulation engine. A machine learning system can be trained based on the first and the second traffic scenarios.


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