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. 30, 2018

Filed:

Oct. 07, 2015
Applicant:

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

Inventors:

Brielle Reiff, Cincinnati, OH (US);

Madeline Jane Schrier, Palo Alto, CA (US);

Nithika Sivashankar, Canton, MI (US);

Assignee:

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

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/78 (2006.01); G06K 9/80 (2006.01); B60T 7/12 (2006.01); G06K 9/00 (2006.01); B60T 7/22 (2006.01); B62D 15/02 (2006.01); G05D 1/00 (2006.01); G06K 9/32 (2006.01); G06K 9/46 (2006.01); G06K 9/52 (2006.01); G06K 9/62 (2006.01); G06T 7/90 (2017.01);
U.S. Cl.
CPC ...
G06K 9/00805 (2013.01); B60T 7/22 (2013.01); B62D 15/0265 (2013.01); G05D 1/0088 (2013.01); G06K 9/00832 (2013.01); G06K 9/325 (2013.01); G06K 9/4652 (2013.01); G06K 9/52 (2013.01); G06K 9/6215 (2013.01); G06T 7/90 (2017.01); B60T 2201/022 (2013.01); B60T 2210/32 (2013.01); G06T 2207/30204 (2013.01); G06T 2207/30261 (2013.01); G06T 2207/30268 (2013.01);
Abstract

A controller for an autonomous vehicle receives an image stream from one or more imaging devices. The controller identifies vehicle images in the image stream. Vehicle images are compared to the color, shape, badging, markings, license plate, and driver of the autonomous vehicle. If the vehicle image is determined to match the autonomous vehicle, then the vehicle image is ignored as a potential obstacle. The location of a reflective surface that generated the vehicle image may be determined and added to a set of potential obstacles. The color and shape of a vehicle in a vehicle image may be evaluated first. Only if the color and shape in the vehicle image match the autonomous vehicle are other factors such as badging, markings, license plate, and driver considered. Vehicle images not matching the autonomous vehicle are included in a set of potential obstacles.


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