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:
May. 14, 2024

Filed:

Mar. 09, 2018
Applicant:

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

Inventors:

David Schmidt, Dearborn, MI (US);

Richard A. Kreder, Dearborn, MI (US);

Assignee:

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

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 20/59 (2022.01); B60P 3/00 (2006.01); B60R 11/00 (2006.01); B60R 11/04 (2006.01); G05D 1/00 (2006.01); G06Q 10/083 (2023.01); H04N 7/18 (2006.01);
U.S. Cl.
CPC ...
G06V 20/59 (2022.01); B60R 11/04 (2013.01); G05D 1/0212 (2013.01); G05D 1/0276 (2013.01); G06Q 10/083 (2013.01); B60P 3/007 (2013.01); B60R 2011/0036 (2013.01); H04N 7/18 (2013.01);
Abstract

The present invention extends to methods, systems, and computer program products for changing vehicle configuration based on vehicle storage compartment contents. At an autonomous vehicle, a camera is mounted inside a storage compartment. The camera monitors the interior of the storage compartment. The camera can confirm that the storage compartment is empty when it is supposed to be empty and contains an object when it is supposed to contain an object. Any discrepancies can be reported to a human operator. The human operator can instruct the autonomous vehicle to change configuration to address discrepancies. In one aspect, a machine-learning camera memorizes a background pattern permeated to a surface of the storage compartment. The machine-learning camera detects objects in the storage compartment based on disturbances to the background pattern.


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