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:
Dec. 23, 2025

Filed:

Apr. 20, 2022
Applicant:

GM Cruise Holdings Llc, San Francisco, CA (US);

Inventors:

Geoffrey Louis Chi-Johnston, San Francisco, CA (US);

Laura Athena Freeman, Golden, CO (US);

Christopher Brian Roland, Santa Monica, CA (US);

Daniel Tien, San Franciso, CA (US);

Feng Tian, Foster City, CA (US);

Seunghyun Min, Oakland, CA (US);

Lei Huang, San Jose, CA (US);

Diego Plascencia-Vega, San Francisco, CA (US);

Ou Jin, Redwood City, CA (US);

Assignee:

GM CRUISE HOLDINGS LLC, San Francisco, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B60W 30/095 (2012.01); B60W 40/04 (2006.01); B60W 50/00 (2006.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
B60W 60/0059 (2020.02); B60W 30/0956 (2013.01); B60W 40/04 (2013.01); B60W 50/0097 (2013.01); B60W 60/0015 (2020.02); B60W 60/0053 (2020.02); B60W 60/0057 (2020.02); G06N 3/08 (2013.01); B60W 2554/4041 (2020.02); B60W 2554/4044 (2020.02);
Abstract

The present technology is directed to training and using a machine learning model to predict a likelihood of a counterfactual safety critical event in autonomous vehicle (AV) driving in a projected scenario occurring after a human takes over control of an AV. An AV management system can identify driving data collected from periods around an occurrence of a human take over event where a human takes over control of an AV. The AV management system can project a scenario that would have resulted if the human did not take over control of the AV based on the driving data and output a counterfactual safety score for the projected scenario. The counterfactual safety score can indicate a probability of a counterfactual collision between the AV and the at least one object in the projected scenario.


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