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:
Jun. 24, 2025

Filed:

Jul. 19, 2022
Applicant:

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

Inventors:

John Russell Lepird, Pittsburgh, PA (US);

Patrick Stirling Barone, Saratoga, CA (US);

Alexander Wah Tak Metz, Bavaria, DE;

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
B60W 30/09 (2012.01); B60W 40/04 (2006.01); B60W 60/00 (2020.01); G06N 7/01 (2023.01);
U.S. Cl.
CPC ...
B60W 60/0011 (2020.02); B60W 30/09 (2013.01); B60W 40/04 (2013.01); G06N 7/01 (2023.01); B60W 2554/402 (2020.02); B60W 2554/404 (2020.02); B60W 2556/20 (2020.02);
Abstract

Disclosed is a system, method, and computer program product embodiments for estimating the state of a school transportation vehicle. For example, the method includes capturing sensor data that includes information about an environment of an autonomous vehicle. The method further includes detecting a school transportation vehicle in the sensor data, receiving a list of indicators associated with a set of candidate states for the school transportation vehicle, and analyzing data from one or more sources to determine indicator values. The method further includes using the indicator values to compute a probability mass function that includes a likelihood that the school transportation vehicle is in each of the candidate states. The method further includes imposing one or more goals on a motion control system of the autonomous vehicle based on the probability mass function and causing the autonomous vehicle to operate according to the one or more goals.


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